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data mining - analysis
(2155 results)-
Webcasts
MSDN Webcast: Building a Simple Recommendation Engine With SQL Server 2005 Data Mining (Level 200)
May 2007
The powerful recommendation engines that major e-commerce sites use to tempt customers into new and additional sales are one of the most visible uses of data mining. This technology often seems...
Provided by Microsoft Tips
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White Papers
Microsoft Dynamics® CRM for Federal Agencies
Jan 2011
Learn how Microsoft Dynamics CRM helps improve collaboration, communication, operational insight, and overall efficiencies. The changing expectations of government organizations require agencies...
Provided by Microsoft Dynamics
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Whitepapers
Forrester TEI Report
Mar 2012
The Total Economic Impact Of IBM's Netezza Data Warehouse Appliance With Advanced Analytics In June 2011, IBM commissioned Forrester Consulting to examine the total economic impact and potential...
Provided by IBM
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Podcasts
Having It All: Breath Taking Data Visualization + Record Performance
Dec 2011
Seeing is believing, and thanks to the latest data visualization and rapid reporting analytics, you can start realizing your data as it happens. This informative webcast walks you through the...
Provided by Actian
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Whitepapers
IDC Whitepaper: The Business Value of Predictive Analytics
Jun 2011
Eight years is a very long time in the IT industry. Many changes have occurred during this time to system performance and software capabilities as well as to general awareness of the market of the...
Provided by IBM
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White Papers
The Creative Business Analyst: Part 1 - Understanding Problems
Sep 2008
Many are familiar with the process of business analysis - start by gathering requirements from stakeholders then turn them into a specification which developers can understand. These days however,...
Provided by IRM Training
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White Papers
New Perspectives on the Future of Drug Discovery
Apr 2008
Constantly changing, overwhelmingly complex and voluminous data can create information paralysis that stands in the way of making profitable decisions. Nerac Analysts have developed novel...
Provided by Nerac
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White Papers
Data Mining for Intrusion Detection Systems
Dec 2008
The paper discusses the use of data mining techniques applied to intrusion detection systems. The goal of these Data Mining based Intrusion Detection Systems is to discover patterns of program and...
Provided by Montclair State University
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White Papers
A Real-Time Intrusion Detection System Using Data Mining Technique
Aug 2008
Presently, most computers authenticate user ID and password before users can login these systems. However, danger soon comes if the two items are known to hackers. This paper, proposes a system,...
Provided by National Tsing Hua University
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Case Studies
HOPS Dynamically Reveals Intelligence From Billions of Data Records in Seconds With HP Integrity Servers and Red Hat Enterprise Linux
Jan 2009
HOPS is a leading provider of data analytic tools and products, utilizing its unique data analysis engine to quickly get clients to places they have never been before. HOPS wanted to maximize...
Provided by Hewlett-Packard (HP)
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Case Studies
Zonar Drives Advanced Fleet Telematics With Google Maps for Enterprise
Jan 2009
Since 2001, Seattle-based Zonar Systems has been revolutionizing transportation industry with Electronic Fleet Management solution which uses inspection and GPS data to track and analyze passenger...
Provided by Google
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Case Studies
Google Analytics and Google Apps Help the Huffington Post Keep Its Edge
Feb 2008
Online publisher The Huffington Post has surpassed approximately 8 million unique users, becoming the fifth most popular news and commentary site on the Internet as measured by web links,...
Provided by Google
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Whitepapers
The RSA Authentication Decision Tree: Selecting the Best Authentication Method for Your Business White Paper
Jun 2009
The RSA Authentication Decision Tree: Selecting the Best Authentication Method for Your Business White Paper provides an overview of the RSA Authentication Decision Tree, examines the 5 factors...
Provided by RSA Security
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White Papers
Web Spam: A Survey With Vision for the Archivist
Aug 2008
While Web archive quality is endangered by Web spam, a side effect of the high commercial value of top-ranked search-engine results, so far Web spam filtering technologies are rarely used by Web...
Provided by MTA SZTAKI
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Whitepapers
XML Based Information Management in Healthcare, Data Mining and Distributed Systems
Jun 2012
XML Based Information Management is an emerging standard which has gain its popularity because of its various features like transfer of data from one system to another without having a common...
Provided by Kurukshetra University
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Whitepapers
Comprehensive Study of Association Rules in Data Mining
Jun 2012
21st century has seen enormous and unprecedented technological developments especially in the fields of Electronics, IT and Computer Science. These technological developments have affected all big...
Provided by Kurukshetra University
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Whitepapers
The Enhancing Technique for Data Mining to Web Usage Mining
Dec 2011
In the context of data mining the feature size is very large and it is believed that it needs a bigger population. Hence, this translates directly into higher computational load. With the huge...
Provided by Kurukshetra University
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Whitepapers
Three Phase Iterative Model of KDD
Dec 2011
KDD (Knowledge Discovery in Data Bases) is multi-step process. KDD is the process that navigation to knowledge from the data base according to user requirements. This paper mainly explains the...
Provided by Kurukshetra University
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Whitepapers
Web Content Mining Tools: A Comparative Study
Jun 2011
Web mining adopts data mining techniques to automatically discover and retrieve information from web documents and services. In this paper, the authors have discussed the concepts of Web mining....
Provided by Kurukshetra University
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Whitepapers
An Algorithmic Approach to Data Preprocessing in Web Usage Mining
Dec 2010
Web usage Mining is an area of web mining which deals with the extraction of interesting knowledge from logging information produced by web server. Different data mining techniques can be applied...
Provided by Kurukshetra University
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Whitepapers
An Entrenched Information Organization in Web-Base Edification
Dec 2010
Modern distance education essentially differs from traditional pattern of education in providing personalized education support service. Application of data mining techniques to the World Wide...
Provided by Kurukshetra University
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Whitepapers
Performance Evaluation of Memory Mapped Files With Data Mining Algorithms
Dec 2009
The concept of memory mapped files is widely supported by most of the modern operating systems. A study is carried out with computationally intensive applications such as data mining, to see the...
Provided by Kurukshetra University
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Case Studies
Kennards Hire: Kennards adopts business intelligence tool to turn data insight into action
Aug 2012
Kennards Hire started in 1948 as a small, family-owned business hiring tools and equipment to local customers. With a fast-growing business and increasing volumes of data, Kennards needed a...
Provided by Microsoft
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White Papers
Open Source Report: 2008
May 2008
The Scan site is sponsored by Coverity with support from the U.S. Department of Homeland Security. This paper presents historical trend data collected by Scan researchers over the past two years....
Provided by Coverity
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White Papers
Overcoming Order Management Challenges to Improve Customer Service with SAP® Solutions
May 2009
Businesses today recognize that they must deliver outstanding customer service in order to acquire new customers and retain existing ones. Companies need to eliminate non-value-added tasks and...
Provided by Esker
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Whitepapers
Optimization: Creating the dynamic infrastructure today's economy demands
Jul 2009
Issues like increasing interconnectivity, explosive growth of data, and the mounting costs of data center operations make IT optimization a very hot topic. Find out how initiatives such as...
Provided by IBM
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White Papers
Leveraging Accounts Payable Automation as a Service
Jan 2009
Read this new white paper, "Leveraging Accounts Payable Automation as a Service," and learn how you can deploy quickly with no IT costs. Discover the advantages of AP automation Software as a...
Provided by Esker
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Case Studies
University Cuts Evaluation Time 77 Percent With Consolidated Data Operations
Jul 2008
Thammasat University, a Thai university in Bangkok with 33,000 full-time students, 5,800 faculty and staff members, and 5,000 external students of its outreach program, wanted to improve data...
Provided by Microsoft
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Case Studies
Shenyang Healthcare Funding Management Center Ensures Accurate Distribution of Healthcare Funds
May 2009
The Shenyang Healthcare Funding Management Center wanted to install a faster, more powerful healthcare funding management system that gives real-time access to user-friendly data reports and...
Provided by Oracle
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Case Studies
Sabre Holdings Improves Service to Its Airline Solutions Customers With Integrated Data
Jun 2009
Sabre Airline Solutions wanted to consolidate customer information to enable a seamless experience - from presales through service and provide employees with easy access to data and improved...
Provided by Oracle
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Case Studies
Banco Compartamos S.A. Improves Availability of Information for Analysis and Achieves Business Goals
May 2009
Established in 1990, Banco Compartamos S.A. became a multiple banking institution in 2006. Banco Compartamos wanted to enable analyzing corporate and business information to accelerate decision...
Provided by Oracle
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Case Studies
Cinepolis Consolidates Information and Improves Ability to Analyze Data and Present Reports Online
Jun 2009
Cinepolis wanted to consolidate up-to-date operational information of the company's theaters to extend visibility throughout the organization and create a detailed and easy to access real-time...
Provided by Oracle
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White Papers
Energy Advantages of Containment Systems
May 2009
Improved cooling techniques are essential to extend the life of existing data center facilities. The use of containment - a method of separating supply (cold) and return (hot) air to more...
Provided by Dell
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White Papers
Oracle Data Mining 11g: Competing on In-Database Analytics
Jun 2009
The Oracle Data Mining Option is powerful data mining functionality embedded in the Oracle Database that enables one to discover new insights hidden in the data and leverage the investment in...
Provided by Oracle
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White Papers
A Load-on-Demand Approach to Handling Large Networks in the Oracle Spatial Network Data Model
Feb 2009
Network modeling, management, and analysis are common tasks for enterprise applications such as Geographic Information System (GIS), Customer Relationship Management (CRM), social network...
Provided by Oracle
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White Papers
Advanced Spatial Data Management for Enterprise Applications
Jan 2009
Oracle Spatial 11g, an option for Oracle Database 11g Enterprise Edition, provides advanced spatial capabilities to support geospatial applications, location-based services, and enterprise spatial...
Provided by Oracle
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White Papers
An Overview of Oracle Business Intelligence Applications
Jun 2009
No longer a luxury item, Business Intelligence (BI) applications are required to optimize corporate profits and performance. The most valuable BI systems pull data from across the enterprise and...
Provided by Oracle
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Whitepapers
On Demand Teleconference: Managing Large Objects with DB2 for z/OS
Aug 2009
This teleconference explains how the IBM® DB2® Administration Tool and IBM DB2 Utilities Suite for z/OS® can help you manage LOBs efficiently and effectively. We'll cover the types of activities...
Provided by IBM
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White Papers
Intelligent Optimization: Advancing Optimization in 3G Networks to Enhance Service Quality, Network Efficiency, and Business Performance Through User-Centric Data Analysis
Jul 2008
Managing network complexity, accommodating greater numbers of subscribers, improving coverage to support data services (e.g. email, video, and music downloads), keeping up to speed with...
Provided by Motorola
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White Papers
Harnessing the Power of Location Intelligence in the Public Sector
Aug 2009
Throughout the world, public services today are under pressure. The current economic climate, where tax receipts are naturally suppressed, provides very serious funding challenges. Moreover, in...
Provided by Pitney Bowes
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Podcasts
Aberdeen Video Series Part 1: Capture and Optimize Data - Analytical Excellence in Mid-Market
Mar 2013
For midsize organizations, business analytics offers the crucial ability to transform data into insight and uncover opportunities for growth and competitive advantage. This Aberdeen Sector Insight...
Provided by IBM
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Whitepapers
A Survey on Data Mining Approaches
Dec 2011
In the new world, with advances in modern industries and businesses and increase in the growing need for data with reference to the knowledge of data processing in order to participate in a big...
Provided by International Journal of Computer Applications
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Whitepapers
Implementation of WAP Through an Innovative and Efficient Technique
Dec 2011
Web Access Pattern (WAP) tree mining is finding of sequence pattern from web access log. It has gained importance in view of increasing usage of World Wide Web. Access to web pages generates...
Provided by International Journal of Computer Applications
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Whitepapers
Application of Cluster Analysis in Agriculture - A Review Article
Dec 2011
In this paper, the authors humbly present a review of some applications of cluster analysis in the field of agriculture and allied sciences. A few applications among them, which have been...
Provided by International Journal of Computer Applications
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Whitepapers
Without Expert Fuzzy Based Data Mining Based on Fuzzy Similarity to Mine New Association Rules
May 2012
The problem of mining association rules in a database is introduced. Most of association rule mining approaches aim to mine association rules considering exact matches between items in...
Provided by International Journal of Computer Applications
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Whitepapers
Classification of Vehicle Collision Patterns in Road Accidents Using Data Mining Algorithms
Dec 2011
This paper emphasizes the importance of Data Mining classification algorithms in predicting the vehicle collision patterns occurred in training accident data set. This paper is aimed at deriving...
Provided by International Journal of Computer Applications
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Whitepapers
Recent Trends in Text Classification Techniques
Dec 2011
Text Mining is the discovery of valuable, yet hidden, information from the text document. Text classification (Also called Text Categorization) is one of the important research issues in the field...
Provided by International Journal of Computer Applications
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Whitepapers
Evaluating the Yield of Hybrid Napier Grass with Data Mining Techniques
Dec 2011
Data Mining is the process of identifying the hidden patterns from large amount of data. It is commonly used in a marketing, surveillance, fraud detection and scientific discovery. In data mining,...
Provided by International Journal of Computer Applications
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Whitepapers
Comprehensive Survey of Framework for Web Personalization Using Web Mining
Dec 2011
World Wide Web is a global village and a rich source of information. The number of users accessing web sites is increasing day by day. For effective and efficient handling, web mining coupled with...
Provided by International Journal of Computer Applications
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Whitepapers
Target Oriented Sequential Pattern Mining Using Recency and Monetary Constraints
May 2012
Many approaches in constraint based sequential pattern mining have been proposed and most of them focus only on the concept of frequency, which means, if a pattern is not frequent, it is removed...
Provided by International Journal of Computer Applications
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Whitepapers
A Survey on Association Rule Mining Using Apriori Algorithm
May 2012
Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of...
Provided by International Journal of Computer Applications
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Whitepapers
Modified Anonymity Model for Privacy Preserving Data Mining
Feb 2013
Data Mining plays a vital role in today's information-oriented world where it has been widely applied in various organizations. The current trend is that organizations need to share data for...
Provided by International Journal of Computer Applications
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Whitepapers
Eliminating Homogeneous Cluster Setup for Efficient Parallel Data Processing
Feb 2013
This project proposes to eliminate homogeneous cluster setup in a parallel data processing environment. A homogeneous cluster setup supports static nature of processing which is a huge...
Provided by Amity University
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Whitepapers
State of Art of Multi Relational Data Mining Approaches: A Rule Mining Algorithm
Feb 2013
In this 21st century is completely called as the information science where the large organizations need useful knowledge. The data mining algorithms look for patterns in data. While most existing...
Provided by International Journal of Computer Applications
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Whitepapers
Association Rule Hiding by Heuristic Approach to Reduce Side Effects & Hide Multiple R.H.S. Items
May 2012
Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. One of the great challenges of data mining is to protect the confidentiality of...
Provided by International Journal of Computer Applications
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Whitepapers
Finding the Best Page Using Synonyms
Mar 2013
Rating a page to be a best one, based only on Page Ranking algorithm of Brin and Page would be insufficient. This method relied totally on Link information alone. However, due to application of...
Provided by International Journal of Computer Applications
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Whitepapers
Outlier Detection in RFID Datasets in Supply Chain Process: A Review
Mar 2013
Outlier detection has been a very important concept in the realm of data analysis. Most real-world databases include a certain amount of exceptional values, generally termed as "Outliers". The...
Provided by International Journal of Computer Applications
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Whitepapers
Application of Particle Swarm Optimization in Data Clustering: A Survey
Mar 2013
Clustering is the process of organizing similar objects into groups, with its main objective of organizing a collection of data items into some meaningful groups. The problem of Clustering has...
Provided by Assam University
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Whitepapers
A Survey on Effective Classification for Text Mining Using One-Class SVM
Mar 2013
Data mining techniques have been widely used to find new patterns and knowledge from large amount of data. While Bayesian models were widely used in the early days, more advanced machine learning...
Provided by BARKATULLAH UNIVERSITY BHOPAL
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Case Studies
NJSIC Oranta: Insurance Firm Gains Better Insight Into Its Business, Improves Efficiency With BI Solution
Mar 2012
The Oranta National Joint Stock Insurance Company (NJSIC Oranta), founded in 1921 as Ukrderzhstrakh, offers about 20 types of insurance, including auto, property, and personal. Oranta is the...
Provided by Microsoft
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Case Studies
Konica Minolta Business Technologies: Printer Manufacturer's BI Users Gain Self Service Analysis and Reporting at Lower Cost
Apr 2012
Konica Minolta Business Technologies wanted to expand its growth in the highly competitive office printing market and knew that analyzing current customer service for new opportunities data held...
Provided by Microsoft
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Whitepapers
Surveillance of Real Time Video Streams by Using Hill Climbing Algorithm
Mar 2013
Data mining is the application of statistical techniques and programmatic algorithms to discover previously unnoticed relationships within the data. With the development of software and hardware,...
Provided by International Journal of Computer Applications
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Whitepapers
Text Mining in Analyzing the Presentation of Educational Trainers
Mar 2013
This work deals with Text analysis that involves information retrieval through lexical analysis to learn word occurrence and distributions, pattern recognition, information extraction, data mining...
Provided by Bharathidasan University
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Whitepapers
Techniques of Power Optimization for Wireless Sensor Network
Mar 2013
Wireless Sensor Networks is one of the hottest topic and growing area now days. WSN have become popular due to its wide range applications. There are lots of problems in Wireless sensor networks...
Provided by Amity University
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Whitepapers
Effectiveness of Data Mining - Based E-Learning System (DMBELS)
Mar 2013
E-learning is emerging as the new paradigm of modern education. Most of the e-learning systems have limitations such as scarcity of content, lack of intelligent search and context sensitive...
Provided by SCSSM
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Whitepapers
Techniques for Mining Text Documents
Mar 2013
Data Mining is one of the important research areas. Data Mining is formed by the combination of words Data+Mining, which means, it mines the data to get knowledge from it because data is of no use...
Provided by International Journal of Computer Applications
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Whitepapers
Evolving Efficient Clustering Patterns in Liver Patient Data Through Data Mining Techniques
Mar 2013
Clustering is one of the most important research areas in the field of data mining. In simple words, clustering is a division of data into different groups. Data are grouped into clusters in such...
Provided by International Journal of Computer Applications
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Whitepapers
Automatic Repeated Rule Acquisition From Similar Web Sites Using Rule Ontology
Mar 2013
The Semantic Web, which is the basic component of two websites Web 2.0 and Web 3.0, it is a development of the World Wide Web in which the semantics of information and services on the Web are...
Provided by International Journal of Computer Applications
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Whitepapers
A Study of Bio-Inspired Algorithm to Data Clustering Using Different Distance Measures
Mar 2013
Data mining is the process of extracting previously unknown and valid information from large databases. Clustering is an important data analysis and data mining method. It is the unsupervised...
Provided by International Journal of Computer Applications
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Whitepapers
Mining Articulate Association Rules from Closed Item Sets: A Counter Support Measurement Approach
May 2012
In this paper, it has been observed that a frequent item set mining algorithm are supposed to mine the closed ones as the finish results in a compact and a complete progress set and enhanced...
Provided by International Journal of Computer Applications
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Whitepapers
An Approach to Nearest Neighboring Search for Multi-Dimensional Data
Mar 2011
Finding nearest neighbors in large multi-dimensional data has always been one of the research interests in data mining field. In this paper, the authors present their continuous research on...
Provided by Kennesaw State University
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Whitepapers
Personality Trait Generation Using Web Search Query Log
May 2012
The involvement of Internet technology into the day-to-day life of every individual is very much evident from the fact that the number of users accessing World Wide Web's massive source of...
Provided by International Journal of Computer Applications
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Whitepapers
Location Based Personalization and Prediction of Data Services Using a Learning Algorithm
Jun 2012
This paper outlines a model that enriches the user experience of using Mobile Value Added Services (MVAS). Specifically the location based data services segment of MVAS is taken into consideration...
Provided by University of Muenster
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Whitepapers
Privacy Preservation for WSN: A Survey
Jun 2012
This paper presents a review of privacy-preserving techniques for Wireless Sensor Networks (WSN). A lot of work has been done to enhance efficient use of power and resources in wireless sensor...
Provided by International Journal of Computer Applications
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Whitepapers
Classification Algorithm Based on MS Apriori for Rare Classes
Jun 2012
Most of the data mining algorithm focuses on frequent patterns, few algorithm emphases on rare items, but rare items also have importance, for example, network intrusion detection, where among...
Provided by International Journal of Computer Applications
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Whitepapers
Troubleshooting Cisco Switches
Mar 2013
When an outage or network incident takes place, it can often create an intense burden for the engineers called upon to assist. As is the case with many emergencies, the demand for action and...
Provided by Global Knowledge
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Whitepapers
Data Mining Approach Using Apriori Algorithm: The Review
Dec 2012
In computer science and data mining, Apriori is a classic algorithm for learning association rules. Apriori is designed to operate on databases containing transactions. As is common in association...
Provided by IOSR Journal of Engineering
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Whitepapers
Approximate K-Nearest Neighbour Based Spatial Clustering Using K-D Tree
Feb 2013
Different spatial objects that vary in their characteristics, such as molecular biology and geography, are presented in spatial areas. Methods to organize, manage and maintain those objects in a...
Provided by Academy & Industry Research Collaboration Center
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Whitepapers
Effective Implementation and Avalanche Effect of AES
Aug 2012
Efficient implementation of block cipher is critical towards achieving high efficiency with good understandability. Numerous number of block cipher including Advance Encryption Standard have been...
Provided by Academy & Industry Research Collaboration Center
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Whitepapers
Classification Rules Mining Model with Genetic Algorithm in Cloud Computing
Jun 2012
Cloud computing is a good platform for research and application of data mining, for the reason that it provides powerful capacities of storage and computing, excellent resource management based on...
Provided by International Journal of Computer Applications
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White Papers
Data Capture and Data Mining of Urban Air Pollution: The Building-Based Approach
Oct 2008
The method and accuracy of data capture dominate the spatial distribution of urban air pollution. Due to limited budget, installation space, and labor resource, permanent or temporary air...
Provided by University of Macau
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White Papers
A Framework for Data Mining Based Multi-Agent: An Application to Spatial Data
Jun 2009
Data mining is an extraordinarily demanding field referring to extraction of implicit knowledge and relationships, which are not explicitly stored in databases. A wide variety of methods of data...
Provided by World Academy of Science, Engineering and Technology
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White Papers
A Direct Marketing Framework to Facilitate Data Mining Usage for Marketers: A Case Study in Supermarket Promotions Strategy
Apr 2009
Data mining technology can detect and predict changes in customer behaviour which facilitates the effective planning of direct marketing campaigns. Most of research on data mining for direct...
Provided by Brunel University
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White Papers
Debellor: Open Source Modular Platform for Scalable Data Mining
May 2009
This paper introduces Debellor (www.debellor.org) - an open source extensible data mining platform with stream-oriented architecture, where all data transfers between elementary algorithms take...
Provided by Warsaw University
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White Papers
Teaching Data Mining: The University of Alabama and SAS
Dec 2008
The University of Alabama (UA) and SAS developed a partnership whereby students who complete a sequence of four graduate-level courses can receive a joint Data Mining Certificate from UA and SAS....
Provided by University of Alabama
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White Papers
Internet Special Ops - Stalking Badness Through Data Mining
Jul 2009
Today's Internet threats are global in nature. Identifying, enumerating and mitigating these incidents require the collection and analysis of unprecedented amounts of data, which is only possible...
Provided by Internet Systems Consortium
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White Papers
Using Data Mining and Recommender Systems to Scale Up the Requirements Process
May 2008
Ultra-Large-Scale (ULS) software systems' projects are anticipated to be highly complex and to involve thousands, or even hundreds of thousands of stakeholders. Unfortunately numerous accounts of...
Provided by Association for Computing Machinery
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White Papers
Issues in Applying Data Mining to Grid Job Failure Detection and Diagnosis
Jun 2008
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to detect a variety...
Provided by Association for Computing Machinery
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White Papers
GeoDMA: A Novel System for Spatial Data Mining
Sep 2008
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets have been developed....
Provided by INPE - Instituto Nacional de Pesquisas Espaciais
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White Papers
Waste Management Using a Multilevel Distributed System and Data Mining
Dec 2008
Administration is conducted through the control of events and management of problems in the territory. Economical growth and nowadays technologies lead to difficult problems related to...
Provided by Universitatea Danubius
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White Papers
Short-Term Prediction of Wind Farm Power: A Data Mining Approach
Mar 2009
This paper examines time series models for predicting the power of a wind farm at different time scales, i.e., 10-min and hour-long intervals. The time series models are built with data mining...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Trend Detection and Data Mining Via Wavelet and Hilbert-Huang Transforms
Jun 2008
This paper presents the formulation and evaluation of effective algorithms of reliable data analysis for real-time monitoring of incipient faults and anomalies, data fusion and event...
Provided by American Association for Clinical Chemistry
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White Papers
Privacy Preserving Data Mining in Telecommunication Services
Jul 2007
Privacy preserving data mining is a new research direction in data mining and knowledge discovery. A main reason for the rapid development of this research area is the growing awareness of the...
Provided by Telenor Group
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White Papers
A Data Mining Approach to the Monitoring of Public Programs for the Retraining of Unemployed Workers
Mar 2009
A recent report of the Upjohn Institute on a framework for an optimal labour market information (hereafter LMI) system said that "Government must play a major role to ensure there is a public LMI...
Provided by University of Bologna
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White Papers
An Analysis of Data Mining Applications in Crime Domain
Jan 2008
This paper gives comprehensive surveys of efficient and effective methods/techniques on data mining for crime data analysis. These techniques aim at finding the illegal activities of professional...
Provided by Mahanakorn University of Technology
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White Papers
Application of New Adaptive Higher Order Neural Networks in Data Mining
Oct 2008
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The proposed adaptive HONN...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Feb 2008
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receive answers....
Provided by University of Dortmund
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White Papers
Towards Data Quality and Data Mining Using Constraints in XML
Mar 2009
Quality data is necessary for different data mining techniques and reversely, data mining techniques can be utilized to measure quality of data. Data mining and data quality issues got much...
Provided by University of South Australia
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White Papers
Cross-SAGE: SAGE Data Mining Tool Based on Set Theory
Mar 2008
SAGE (Serial Analysis of Gene Expression) is a technique for analyzing gene expression of a series of tags obtained from cDNA. This technology lets biologists analyze and observe the relative gene...
Provided by National Kaohsiung University of Applied Sciences
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White Papers
A Visual Data Mining Methodology to Conduct Seismic Facies Analysis: Part 2 - Application to 3D Seismic Data
Jan 2009
A visual data-mining approach to unsupervised clustering analysis can be an effective tool for visualizing and understanding patterns inherent in seismic data i.e., seismic facies. The...
Provided by Society of Exploration Geophysicists
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White Papers
A Visual Approach to Exploratory Data Mining
Feb 2009
As the first step upon commencing an in-depth data mining analysis, students should become intimately acquainted with the data under study. This paper presents a methodology and set of custom...
Provided by Texas A&M University
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White Papers
Integrating Data Mining and Agent Based Modeling and Simulation
Jun 2009
This paper introduces an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is concerned with two...
Provided by Springer Science+Business Media
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White Papers
Design and Implementation of a Data Mining Grid-Aware Architecture
Oct 2008
Current business processes often use data from several sources. Data is characterized to be heterogeneous, incomplete and usually involves a huge amount of records. This implies that data must be...
Provided by Universidad Politecnica de Madrid
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White Papers
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Jan 2009
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collaboration. The...
Provided by Universidad Nacional de Educacion a Distancia
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White Papers
A Review on Data Mining and Continuous Optimization Applications in Computational Biology and Medicine
Apr 2009
An emerging research area in computational biology and biotechnology is devoted to mathematical modeling and prediction of gene-expression patterns; it nowadays requests mathematics to deeply...
Provided by Middle East Technical University
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White Papers
Multi-Level Data Mining - One Way to Sophisticated Web-Based Applications
May 2008
With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn...
Provided by University of Linz
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White Papers
Fuzzy Data Mining of Term Associations for Flexible Query Answering
Oct 2008
This paper presents an approach to data mine a document base for term associations that are useful for query expansion in flexible query answering. Fuzzy logic and probability theory are applied...
Provided by Roskilde University
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White Papers
Comparative Study of Data Mining Methods for Aerodynamic Multiobjective Optimizations
Jul 2008
Practical aerodynamic design problems are typically multiobjective design optimization problems that have multiple contradicting objectives and many design parameters. Goal of multiobjective...
Provided by University of Tokyo
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White Papers
Integrating the Development of Data Mining and Data Warehouses Via Model-Driven Engineering
Sep 2008
Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the...
Provided by University of Alicante
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White Papers
Temporal Granular Logic for Temporal Data Mining
Apr 2008
In this paper, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The proposed theoretical...
Provided by University of Neuchatel
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Whitepapers
Data Mining in Telecommunications and Studying Its Status in Iran Telecom Companies and Operators
Nov 2007
Telecommunication companies generate and deal with a tremendous amount of data, including : call detail data, network data and customer data, the amount of data is so great that manual analysis of...
Provided by K.N.Toosi University of Technology
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White Papers
RE-EM Trees: A New Data Mining Approach for Longitudinal Data
May 2009
Longitudinal data refer to the situation where repeated observations are available for each sampled individual. Methodologies that take this structure into account allow for systematic differences...
Provided by New York University
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White Papers
Efficient Forest Fire Detection System: A Spatial Data Mining and Image Processing Based Approach
Mar 2009
The drastic ascent in the volume of spatial data owes its growth to the technical advancements in technologies that aid in spatial data acquisition, mass storage and network interconnection. Thus...
Provided by International Journal of Computer Science and Network Security
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White Papers
A Hybrid Data Mining Metaheuristic for the p-Median Problem
Feb 2009
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In this work, one...
Provided by Society for Industrial and Applied Mathematics
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White Papers
Applying Data-Mining Techniques in Honeypot Analysis
Mar 2009
Very little is known about the exact actions executed by a hacker entering a system. Much insight can be gained from following and understanding a hacker's behaviour. It is believed that the more...
Provided by CSIR
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White Papers
Domain Knowledge Integration in Data Mining Using Decision Tables: Case Studies in Churn Prediction
Nov 2008
Companies' interest in customer relationship modelling and key issues such as customer lifetime value and churn has substantially increased over the years. However, the complexity of building,...
Provided by University of Southampton
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Whitepapers
Provenance as Data Mining: Combining File System Metadata With Content Analysis
Feb 2009
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases and the file...
Provided by Hewlett-Packard (HP)
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White Papers
Towards a Model-Driven Engineering Approach of Data Mining
Jul 2008
Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data mining lacks a modelling architecture that...
Provided by University of Alicante
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Whitepapers
Data Mining Model Management to Support Real-Time Business Intelligence in Service-Oriented Architectures
May 2008
Use of predictive models for making business-critical decisions is on the rise. However, serious challenges remain on managing data mining models and integrating them with business services using...
Provided by Hewlett-Packard (HP)
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White Papers
Information Visualization With Text Data Mining for Knowledge Discovery Tools in Bioinformatics
Jul 2009
An abundant amount of information is produced in the digital domain, and an effective Information Extraction (IE) system is required to surf through this sea of information. This paper shows that...
Provided by Korea Advanced Institute of Science and Technology
