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data mining - analysis
(2147 results)-
Whitepapers
State of the Art Algorithms for Frequent Item Mining in Data Streams
Dec 2011
The frequent items problem is to process a stream of items and find all those which occurs more than a given fraction of the time. It is one of the most heavily studied problems in mining data...
Provided by Kurukshetra University
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Whitepapers
Comaprison of Data Mining and Auditing Tools
Jun 2011
Auditing means the review of transaction in order to detect frauds and errors in the transactions. For the process of auditing auditor has to analyze a large volume of data that is very difficult...
Provided by Kurukshetra University
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Whitepapers
Process Mining: Process Management With Data Mining
Aug 2010
In this paper, the authors propose new methods for ordering the Web pages returned from search engines. Given a few search keywords, nowadays most search engines could retrieve more than a few...
Provided by Kurukshetra University
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Whitepapers
Sequence Forecast Algorithm Based on Nonlinear Regression Technique for Stream Data
Dec 2010
Data mining is the process of extracting knowledge structures from continuous, rapid and extremely large stream data which handles quality and data analysis. In such traditional transaction...
Provided by Kurukshetra University
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Whitepapers
A Perception of Statistical Inference in Data Mining
Dec 2010
As the authors know that data mining is concern with learning from data therefore, completeness, quality and real world data preparation, is a key prerequisite of successful data mining with its...
Provided by Kurukshetra University
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White Papers
Customer Data Quality Platform from Pitney Bowes Business Insight - a Butler Group Technology Audit report
Aug 2009
Pitney Bowes Customer Data Quality Platform (CDQP) is a domain-specific customer data quality management system that enables tasks such as integration, cleansing, matching, profiling, monitoring,...
Provided by Pitney Bowes
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White Papers
Data Quality Considerations for a Master Data Management Structure
Aug 2009
Companies acquiring companies. Human Resources sharing information with Finance. Businesses spanning multiple countries. What do all of these scenarios have in common? The sharing of data. What is...
Provided by Pitney Bowes
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White Papers
Mentor Graphics- customer case study
Aug 2009
Mentor Graphics sought to find a way to improve the quality of its customer data and more efficiently utilize this information to better target leads. However, with a number of disparate databases...
Provided by Pitney Bowes
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Tools & Templates
IBM DB2 Compression ROI Tool
Aug 2009
To find out how much space a company can save by using the feature, the user can use the Data Storage Analyzer that employs the exact same algorithm as the Deep Compression feature to arrive at a...
Provided by IBM
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Case Studies
Customer Video: SAP IT Chooses DB2
Aug 2009
SAP's main driver for choosing IBM on DB2 was about the simple question: "What do we get for the money?". Find out why SAP Corporate Business Systems chose IBM DB2.
Provided by IBM
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White Papers
Accelerating Online Business Insights
Aug 2009
Written by digital marketing expert Jim Sterne, this white paper explains why current web analytics are not enough to generate desired business results and how behavioral analytics can help you...
Provided by Quantivo Corporation
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White Papers
5 Ways to Reduce IT Audit Tax
Aug 2009
Taxes are certainly not fun, but there is something worse: an audit. Combine the two in a risk and compliance scenario and you have the onerous "audit tax," a figurative term used to describe the...
Provided by Lumension
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Case Studies
USA Drug Improves Company Performance by Speeding Access to Data With Web-Based Solution
Jul 2009
USA Drug wanted to improve reporting processes to reduce reliance on cumbersome spreadsheets and expand analytical capabilities and automate report distribution to facilitate swift decision-making...
Provided by Oracle
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White Papers
Formatting Instructions for Educational Data Mining Conference
Mar 2008
This paper contains instructions for formatting papers for the International Conference on Educational Data Mining. One's life will be much easier if one reads this paper and uses the Styles that...
Provided by Worcester Polytechnic Institute
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White Papers
Multi-Dimensional Characterization of Temporal Data Mining on Graphics Processors
May 2009
Through the algorithmic design patterns of data parallelism and task parallelism, the Graphics Processing Unit (GPU) offers the potential to vastly accelerate discovery and innovation across a...
Provided by Virginia Polytechnic Institute and State University
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White Papers
Improving Data Mining Via Noisy Micro-Outsourcing
Nov 2008
This work discussed in this paper focuses on problems where it is possible to obtain certain (noisy) data values ("Labels") relatively cheaply, from on-line micro outsourcing sources ("Non-expert...
Provided by New York University
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White Papers
Methodology of Adaptation of Data Mining Methods for Medical Decision Support: Case Study
Feb 2009
Data mining is a problem solving technique, which analyzes the data already stored in the data base. It is a process of discovering, classifying and finding patterns in data. The classification of...
Provided by Kaunas University of Technology
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White Papers
Data Mining: Understanding Data and Disease Modeling
Jan 2009
Analyzing large data sets requires proper understanding of the data in advance. This would help domain experts to influence the data mining process and to properly evaluate the results of a data...
Provided by Indian Institute of Technology Bombay
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White Papers
Detecting Internet Worms Using Data Mining Techniques
May 2008
Internet worms pose a serious threat to computer security. Traditional approaches using signatures to detect worms pose little danger to the zero day attacks. The focus of malware research is...
Provided by University of Central Florida
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White Papers
New Optimization Methods in Data Mining
Oct 2008
Data mining is a modern area of science dealing with the learning from given data in order to make predictions and estimations. Applications of Data mining can be found in various areas of...
Provided by University of Aveiro
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White Papers
2D CAD Data Mining Based on Spatial Relation
May 2009
This paper proposes CAD data mining technique to obtain semantic elements without prior knowledge about plans being designed. The method consists of two steps. The first step is to extract...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Data Mining and Collusion Resistance
Jul 2009
The field of data mining provides techniques for new knowledge discovery - finding patterns in the data set such as classifiers and association rules that may be useful to the data miner. Privacy...
Provided by Bowling Green State University
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Whitepapers
Towards a Data Mining Concept Animation Library
Apr 2009
Data mining is the automated extraction of hidden predictive information from large data sets. To study new algorithms or compare different algorithms, one needs a better perspective on a...
Provided by Hewlett-Packard (HP)
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White Papers
FastRWeb: Fast Interactive Web Framework for Data Mining Using R
Dec 2008
R is widely used and accepted as a very versatile tool for statistical computing and data analysis. It provides a plethora of cutting edge methods, tools and algorithms. However, typical data...
Provided by AT&T Intellectual Property
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White Papers
On Domination Game Analysis for Microeconomic Data Mining
Sep 2008
Game theory is a powerful tool for the analysis of the competitions among manufacturers in a market. This paper presents a study on combining game theory and data mining by introducing the concept...
Provided by University of British Columbia
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White Papers
Finding Diamonds in Data: Reflections on Teaching Data Mining From the Coal Face
May 2009
Making sense of the exponentially expanding sources of structured electronic data collected by organizations is increasingly difficult. Data mining is the extraction of implicit, previously...
Provided by University of Wisconsin-Milwaukee
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White Papers
Clinical Decision Support Using OLAP With Data Mining
Sep 2008
The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Decision support systems (DSS) can now use...
Provided by Multimedia University
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White Papers
Constructive Data Mining: Modeling Australian Inflation
Jun 2009
This paper improves upon de Brouwer and Ericsson's (1998) model of Australian inflation in three directions: cointegration analysis, treatment of weak exogeneity, and model design. On the third...
Provided by Federal Reserve Board
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White Papers
Data Mining Storm Attributes From Spatial Grids
Apr 2009
A technique to identify storms and capture scalar features within the geographic and temporal extent of the identified storms is described. The identification technique relies on clustering grid...
Provided by University of Oklahoma
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White Papers
Application of Data Mining in Failure Data Analysis
Jan 2009
The paper outlines the application of two data mining techniques for the automatic processing of failure data. The first solutions aims at identifying those parts of a complex HW/SW system built...
Provided by Budapest University of Technology and Economics
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White Papers
Data Mining for Intelligence Led Policing
Jun 2009
The benefit of data mining for police seems tremendous, yet only a few limited applications are documented. This paper starts with describing the implementation problems of police data mining and...
Provided by Sentient Software
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White Papers
A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows
Jun 2008
Effective management of Web Services systems relies on accurate understanding of end-to-end transaction flows, which may change over time as the ser-vice composition evolves. This work takes a...
Provided by Georgia Institute of Technology
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White Papers
Transformation Rule Discovery Through Data Mining
Aug 2008
Data-intensive software programs typically transform a set of source data values into target data values. While the group of developers who write, compile and test the software or the query have a...
Provided by Association for Computing Machinery
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White Papers
Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
Aug 2008
This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as preparation for...
Provided by Monash University
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White Papers
Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere
Mar 2008
The paper describes the design and implementation of a high performance cloud that one has used to archive, analyze and mine large distributed data sets. By a cloud, one means an infrastructure...
Provided by University of Illinois
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White Papers
Research on Intelligent Decision Oriented Architecture of Data Mining
May 2009
The large commercial transactions data implied lots of useful knowledge for business decisions, the hidden patterns and relationships could be found by data mining. This paper analyzed and pointed...
Provided by Academy Publisher
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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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Whitepapers
Tracking the Trends of Financial Applications Using Genetic Algorithm
Jun 2012
The generation of profitable trading rules for stock market investments is a difficult task but admired problem. First stage is classifying the prone direction of the price for India Cements Stock...
Provided by Kakatiya University
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Whitepapers
Community Detection in Complex Network via BGLL Algorithm
Jun 2012
A large number of networks in nature, society and technology are defined by a mesoscopic level of organization, in which groups of nodes form tightly connected units, called communities, that are...
Provided by Amity University
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Whitepapers
Single Point Interface for Data Analysis in Wireless Sensor Networks
Jun 2012
Today, across a wide variety of areas, huge datasets are being collected and accumulated at a very high pace. The datasets addressed by individual applications are very often heterogeneous and...
Provided by International Journal of Computer Applications
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Whitepapers
Efficient Clustering for Gene Expression Data
Jun 2012
In the past decade there have been advance in technologies, the amount of biological data such as DNA sequences and microarray data have been increased tremendously. To obtain knowledge from the...
Provided by International Journal of Computer Applications
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Whitepapers
A Study on Milestones of Association Rule Mining Algorithms in Large Databases
Jun 2012
Data mining helps in doing automated extraction and generating predictive information from large amount of data. The association rule mining is one of the important areas of research in Data...
Provided by International Journal of Computer Applications
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Whitepapers
Data Mining Application for Cyber Space Users Tendency in Blog Writing: A Case Study
Jun 2012
Blogs are the recent emerging media which relies on information technology and technological advance. Since the mass media in some less-developed and developing countries are in government service...
Provided by Hacettepe University
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Whitepapers
Study on Software Process Metrics Using Data Mining Tool -A Rough Set Theory Approach
Jun 2012
Software industries are optimizing their resources to obtain the best quality software from minimum cost through identifying the potential resource for the assignments. The process matrices' are...
Provided by International Journal of Computer Applications
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Whitepapers
Spam Mail Filtering Technique Using Different Decision Tree Classifiers Through Data Mining Approach - A Comparative Performance Analysis
Jun 2012
In recent years the highest degree of communication happens through e-mails which are often affected by passive or active attacks. Effective spam filtering measures are the timely requirement to...
Provided by International Journal of Computer Applications
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Whitepapers
Fortification of Hybrid Intrusion Detection System Using Variants of Neural Networks and Support Vector Machines
Jan 2013
Intrusion Detection Systems (IDS) form a key part of system defence, where it identifies abnormal activities happening in a computer system. In recent years, different soft computing based...
Provided by Academy & Industry Research Collaboration Center
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Whitepapers
Approaches to Partition Medical Data Using Clustering Algorithms
Jul 2012
The successful application of data mining in fields like e-business, marketing and retail have led to the popularity of its use in Knowledge Discovery in Databases (KDD) in other industries and...
Provided by International Journal of Computer Applications
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Whitepapers
Cyclic Association Rules Mining Under Constraints
Jul 2012
Several researchers have explored the temporal aspect of association rules mining. In this paper, the authors focus on the cyclic association rules, in order to discover correlations among items...
Provided by University of Tulsa
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Whitepapers
Privacy Preservation Using Association Rule Mining with Limited Side Effect
Jul 2012
The privacy preservation using association rule mining is the base of this research. The concept of privacy preserving data mining has been proposed in response to the concerns of preserving...
Provided by International Journal of Computer Applications
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Whitepapers
Mining Longest Common Subsequence and Other Related Patterns Using DNA Operations
Jul 2012
Longest Common Subsequence (LCS) and Shortest Common Subsequence (SCS) problems are to find subsequences in given sequences in which the subsequence is as long as possible and as short as possible...
Provided by University of Madeira
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Whitepapers
Transition in Time Series Data Mining on Correlated Items
Jul 2012
The authors are given a large database of customer transactions, where each transaction consists of transaction-id, the items bought in the transaction and the transaction time. The whole set of...
Provided by International Journal of Computer Applications
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Whitepapers
Efficient Discovery of Frequent Patterns Using KFP-Tree From Web Logs
Jul 2012
The expansion of the World Wide Web has resulted in a large amount of data. Web mining discovers and extracts useful information from the World Wide Web (WWW) documents and services using the data...
Provided by International Journal of Computer Applications
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Whitepapers
A Data Mining Framework for Prevention and Detection of Financial Statement Fraud
Jul 2012
Financial statement fraud has reached the epidemic proportion globally. Recently, financial statement fraud has dominated the corporate news causing debacle at number of companies worldwide. In...
Provided by Maharshi Dayanand University, Rohtak
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Whitepapers
Modelling Extraction Transformation Load Embedding Privacy Preservation Using UML
Jul 2012
Extraction Transformation Load plays an important phase in development of data warehouse due its complexity of selecting data from different location and having different structures. The recent...
Provided by International Journal of Computer Applications
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Whitepapers
Identification of User Ownership in Digital Forensic Using Data Mining Technique
Jul 2012
As existing technology used by criminal rapidly changes and growing, digital forensics is also growing and important fields of research for current intelligence, law enforcement and military...
Provided by PEC Telecom
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Whitepapers
Enhanced Computational Model for Intelligent Selection of Telecom Services Using CLARA and Artificial Neural Network
Jul 2012
This paper proposes an enhanced design for development of computational model for intelligent selection of telecom services meant for telecom customers. Computational model comprises of Data...
Provided by International Journal of Computer Applications
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Whitepapers
The Adaptability of Decision Tree Method in Mining Industry Safety Data
Jul 2012
Data Mining nowadays is extensively applied in researches and business fields. The choice of data mining tools is practically dependent on the nature of the data to be mined. Studies have shown...
Provided by Federal University of Technology
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Whitepapers
Performance Evaluation of Apriori on Dual Core with Multiple Threads
Jul 2012
The complexity of handling the scalability problem of huge data can be reduced with parallel processing. The efficiency of parallel processing changes as the number of processors or number of...
Provided by International Journal of Computer Applications
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Whitepapers
Distributed Sequence Alignment Applications for the Public Computing Architecture
Mar 2008
The public computer architecture shows promise as a platform for solving fundamental problems in bioinformatics such as global gene sequence alignment and data mining with tools such as the Basic...
Provided by Institute of Electrical & Electronic Engineers
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Whitepapers
Classification Algorithms for Data Mining: A Survey
Jun 2012
Data Mining or Knowledge Discovery is needed to make sense and use of data. Knowledge Discovery in Data is the non-trivial process of identifying valid, novel, potentially useful and ultimately...
Provided by International Journal of Innovations in Engineering and Technology (IJIET)
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Whitepapers
Analysis and Implementation of FP & Q-FP Tree with Minimum CPU Utilization in Association Rule Mining
Aug 2012
Association rule mining, one of the most important and well researched techniques of data mining, was first introduced in. It aims to extract interesting correlations, frequent patterns,...
Provided by The World
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Whitepapers
Partial Matching Mixed Mode BIST Design for Test Data Reduction
Mar 2012
A mixed-mode Built-In Self-Test (BIST) approach that deploys two new techniques is presented in this paper. Partial pattern matching allows the reduction of the number of patterns used for...
Provided by International Journal of Communications and Engineering
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Whitepapers
A View on Natural Language Processing and Text Summarization
Mar 2012
Text summarization plays an important role in the area of natural language processing and text mining. Text summarization aims to create a compressed summary while retaining the main...
Provided by International Journal of Communications and Engineering
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Whitepapers
Estimation of Evolutionary Optimization Algorithm for Association Rule Using Spatial Data Mining
Aug 2012
The innovative process for spatial data is more risk when compared to relational data. This can be functional for the efficiency and effectiveness of algorithms as well as the difficulty of...
Provided by Karpagam University
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Whitepapers
Optimization of Decision Rules in Fuzzy Classification
Aug 2012
There are various advances in data collection that can intelligently and automatically analyze and mine knowledge from large amounts of data. World Wide Web as a global information system has...
Provided by International Journal of Computer Applications
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Whitepapers
An Efficient Mining Algorithm for Determining Related Item Sets Using Classification and Association Rules
Aug 2012
In the present days, data mining is the advanced research area because it is one of the important steps in the knowledge discovery process. This paper presents an experimental study of finding the...
Provided by International Journal of Computer Applications
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Whitepapers
Hepatitis Prediction Model Based on Data Mining Algorithm and Optimal Feature Selection to Improve Predictive Accuracy
Aug 2012
Data mining techniques are widely used in classification and prediction in the field of bioinformatics. This even helps in identifying the relationships and patterns in the data which helps in...
Provided by International Journal of Computer Applications
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Whitepapers
A Novel Class Imbalance Learning Using Ordering Points Clustering
Aug 2012
In Data mining and Knowledge Discovery hidden and valuable knowledge from the data sources is discovered. The traditional algorithms used for knowledge discovery are bottle necked due to wide...
Provided by GITAM UNIVERSITY
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Whitepapers
MFSPFA: An Enhanced Filter Based Feature Selection Algorithm
Aug 2012
Feature Selection is the process of selecting the momentous feature subset from the original ones. This technique is frequently used as a preprocessing technique in data mining. In this study, a...
Provided by International Journal of Computer Applications
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Whitepapers
Data Base Warehousing and Mining - Business Visual Tools Interaction with UML Profile Modeling
Aug 2012
This paper outlines the new approach to be taken by integrating Business Management charts with Data visualization techniques for making the understanding of the students with computer science...
Provided by International Journal of Computer Applications
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Whitepapers
Implementing Semantic Query Optimization in Relational Databases
Aug 2012
A semantic query is a query pertaining to knowledge or data that is expressed purely on the basis of a common business vocabulary, without any reference to how or where the data is stored....
Provided by International Journal of Computer Applications
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Whitepapers
Evaluation of Different Classification Techniques for WEB Data
Aug 2012
The growth of data-mining applications such as classification and clustering has shown the need for machine learning algorithms to be applied to large scale data. In this paper, the authors...
Provided by International Journal of Computer Applications
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Whitepapers
Semantic Based Document Clustering: A Detailed Review
Aug 2012
Document clustering, one of the traditional data mining techniques, is an unsupervised learning paradigm where clustering methods try to identify inherent groupings of the text documents, so that...
Provided by International Journal of Computer Applications
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Whitepapers
Use of Data Mining in Emergency Evacuation Planning
Apr 2012
Evacuating large numbers of people during a natural disaster or terrorist attack is a vital challenge for emergency management professionals. This is even a continuous pressure on the management...
Provided by The World
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Whitepapers
A Review of Data Mining Based Intrusion Detection Techniques
Feb 2013
Traditional Data Mining techniques operate on structured data such as corporate databases; this has been an active area of research for many years. Intrusion detection is the process of monitoring...
Provided by International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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Whitepapers
Optimizing the Convergence of Data Utility and Privacy in Data Mining
Jan 2013
Data mining plays a vital role in today's information world where it has been widely applied in various organizations. The current trend needs to share data for mutual benefit. However, there has...
Provided by International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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Whitepapers
Comparative Analysis of Issues Related to Centralized and Distributed Warehouse Architectures
Oct 2012
Data mining normally collects the data from large databases at central warehouse and applies mining techniques on collected data and discovers patterns and generates useful information which is...
Provided by International Journal of Application or Innovation in Engineering & Management (IJAIEM)
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White Papers
Spatial Data Mining for Retail Sales Forecasting
Apr 2008
This paper presents a use case of spatial data mining for aggregate sales forecasting in retail location planning. In particular, the data mining technique Support Vector Regression (SVR) is used...
Provided by University of Girona
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White Papers
KM and Data Mining
Nov 2008
The exponential increase in information, primarily due to the electronic capture of data and its storage in vast data warehouses, has created a demand for analyzing the large amount of data...
Provided by Universitatea de Vest
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White Papers
Medical Image Classification Using an Efficient Data Mining Technique
May 2008
Data mining refers to extracting or "Mining" knowledge from large amounts of data. It is an increasingly popular field that uses statistical, visualization, machine learning, and other data...
Provided by Deakin University
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White Papers
Workflows for Visualizing Data Mining Results
Apr 2009
The author reviews methods and tools for visualizations in neuroimaging as well as point to some of the problems with interpreting such visualizations. The author furthermore describes...
Provided by Technical University of Denmark
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White Papers
Comparison of Three Data Mining Techniques With Genetic Algorithm in the Analysis of Breast Cancer Data
Apr 2009
The present study focused on the investigation of the application of artificial intelligence and data mining techniques to the prediction models of breast cancer. The artificial neural network,...
Provided by National Yang-Ming University
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White Papers
Quick Response Data Mining Model Using Genetic Algorithm
Aug 2008
This paper proposes an efficient data mining system for making quick response to users and providing a friendly interface. When data tuples have higher relationship, it could contain long frequent...
Provided by Shanghai University
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White Papers
Understanding Data Mining
Jun 2009
The effectiveness of the buying decisions is governed by how well one understands the problems, the assets and the objectives. Data mining, or "DM," can help one make sense of the available...
Provided by Qbase
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White Papers
Sustainable Operation and Management of Data Center Chillers Using Temporal Data Mining
Jul 2009
Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the resulting large carbon...
Provided by Association for Computing Machinery
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White Papers
Unsupervised Static Discretization Methods in Data Mining
Apr 2009
Discretization of real-valued data is often used as a pre-processing step in many data mining algorithms. This paper reviews some important unsupervised discretization methods among which there...
Provided by Titu Maiorescu University
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White Papers
Using Information Filtering in Web Data Mining Process
Aug 2008
The amount of Web information is growing rapidly, improving the efficiency and accuracy of Web information retrieval is uphill battle. There are two fundamental issues regarding the effectiveness...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Enterprise Data Mining: A Review and Research Directions
Jul 2008
Manufacturing enterprise systems and service enterprise systems carry out the bulk of economic activities in any country and in the increasingly connected world. Enterprise data are necessary to...
Provided by Louisiana State University
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White Papers
Assessing Data Mining Results Via Swap Randomization
Dec 2007
The problem of assessing the significance of data mining results on high-dimensional 0 - 1 datasets has been studied extensively in the literature. For problems such as mining frequent sets and...
Provided by Association for Computing Machinery
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White Papers
Temporal Representation for Gene Networks: Towards a Qualitative Temporal Data Mining
Jan 2008
Processing literature (i.e., text corpora) to capture gene regulation events is not easy and can be driven by the final data representation. The paper proposes to build, manually, an example of...
Provided by Inderscience Enterprises
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White Papers
Data Mining in Oral Medicine Using Decision Trees
Feb 2008
Data mining has been used very frequently to extract hidden information from large databases. This paper suggests the use of decision trees for continuously extracting the clinical reasoning in...
Provided by World Academy of Science, Engineering and Technology
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Whitepapers
Scalable Tensor Decompositions for Multi-Aspect Data Mining
Oct 2008
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensionalities. Tensors...
Provided by IBM
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White Papers
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
May 2009
While the emerging field of Privacy Preserving Data Mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are difficult to...
Provided by University of Central Florida
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White Papers
Program Evolution for Data Mining
Jan 2009
Around the world there are innumerable databases of information. The quantity of information available has created a high demand for automatic methods for searching these databases and extracting...
Provided by Carnegie Mellon University
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White Papers
Clustering and Classification of Maintenance Logs Using Text Data Mining
Oct 2008
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditional techniques....
Provided by Australian Computer Society
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White Papers
Preprocessing DNS Log Data for Effective Data Mining
Feb 2009
The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively mine DNS log data...
Provided by Northeastern University
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White Papers
T-Time: Threshold-Based Data Mining on Time Series
May 2008
Mining time series data is an important approach for the analysis in many application areas as diverse as biology, environmental research, medicine, or stock chart analysis. As nearly all data...
Provided by Willkommen am Institut fur Informatik
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White Papers
Visual Tools for Initial Exploratory Data Mining
Feb 2009
Data mining has been defined as "The process of discovering useful information in large data repositories" (Tan et al., 2006). It focuses on the discovery of valid, previously unknown, and...
Provided by Texas A&M University
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White Papers
Data Mining and Homeland Security: An Overview
Aug 2008
Data mining has become one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use...
Provided by CRS
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White Papers
Does Data Mining Really Work for Higher Education Fundraising?: A Study of the Results of Predictive Models Built for 5 Higher Education Institutions
Nov 2008
By the year 2000 it was not uncommon to hear the terms data mining and predictive modeling bandied about in higher education advancement. Even though most of them would struggle if asked to give...
Provided by Data Description
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White Papers
The Contribution of Data Mining in Information Science
Apr 2009
Information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of...
Provided by Brunel University
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White Papers
Parallel Data Mining on Graphics Processors
Oct 2008
The paper introduces GPUMiner, a novel parallel data mining system that utilizes new-generation Graphics Processing Units (GPUs). The system relies on the massively multi-threaded SIMD (Single...
Provided by Microsoft
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White Papers
Making Privacy-Preserving Data Mining Practical With Smartcards
Jan 2009
Data mining provides large benefits to the commercial, government and homeland security sectors, but the aggregation and storage of huge amounts of data about citizens inevitably leads to an...
Provided by Bar-Ilan University
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White Papers
Predicting Change Propagation in Software System With Data Mining Techniques
May 2008
Software maintenance is a very costly and time-consuming work during the software life cycle. The problems with software maintenance are even more pressing in the software system. Software...
Provided by National Cheng Kung University
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White Papers
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market
Jul 2008
This paper presents the adaptation of an evolutionary cooperative competitive RBFN learning algorithm, CO2RBFN, for short-term forecasting of extra virgin olive oil price. The olive oil time...
Provided by Universidad de Jaen
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White Papers
Data Mining-Based Fragmentation of XML Data Warehouses
Nov 2008
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail to achieve....
Provided by Association for Computing Machinery
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White Papers
A Nonextensive Method for Spectroscopic Data Analysis With Artificial Neural Networks
Jan 2009
This paper applies an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. The aim is to establish an...
Provided by National University Of Ireland
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White Papers
Towards Development of Solution for Business Process-Oriented Data Analysis
Jun 2009
This paper proposes a modeling methodology for the development of data analysis solution. The Author introduce the approach to address data warehousing issues at the at enterprise level. The...
Provided by Riga Technical University
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White Papers
Symbolic Data Analysis Tools for Recommendation Systems
Apr 2009
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, through actions or...
Provided by Universidade de Pernambuco
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White Papers
Data Analysis and Reduction Using Stationary Solutions of the NLS Equation
Aug 2009
This paper demonstrates that the stationary solutions of the Nonlinear Schrodinger Equation (NLS) can be used as an orthonormal basis for the square integrable functions with periodic boundary...
Provided by University of Washington
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White Papers
Super-Kamioka Computer System for Analysis
Apr 2008
The Institute for Cosmic Ray Research (ICRR) of the University of Tokyo newly established the Kamloka Observatory In 1996, and has continued to observe the elementary particles known as neutrinos...
Provided by Fujitsu
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Whitepapers
Adaptive Segmentation: HP Neoview Platform Breaks New Ground in Mixed Workload Management
Apr 2009
Adaptive segmentation is one of the many advanced capabilities provided by the Neoview EDW platform to meet the rigorous demands of modern data warehousing environments. No other system provides...
Provided by Hewlett-Packard (HP)
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Webcasts
Data Analysis - The Jaspersoft Way
Jan 2009
To stay competitive and productive, today's organizations use data analysis to carefully study critical data on product sales, customer behavior, and dozens of other topics. Fortunately, there's...
Provided by JasperSoft
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Webcasts
Extending Jaspersoft Open Source BI for the Data Warehouse With R Analytics
Jan 2009
Jaspersoft and OpenBI are pleased to present integration of R Statistical Analysis with the Jaspersoft Business Intelligence Suite. This integration combines sophisticated statistical analysis...
Provided by JasperSoft
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Webcasts
Jaspersoft V3 and Infobright Brighthouse: A Ground-Breaking Marriage of Business Intelligence and Analytical Database Technology
Jan 2009
The presenter of this webcast showcases the integration of the latest commercial open source BI technology from Jaspersoft with the high-performance, columnar, analytic data warehouse from...
Provided by JasperSoft
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Case Studies
Data Dynamics Components Help Precision. BI Create Powerful, Easy-to-Use Business Intelligence Applications for Healthcare
Jan 2009
Precision.BI, established in Wyomissing, PA in 2001, provides a Business Intelligence (BI) solution designed to do exactly that. A key problem that Precision.BI faced in developing its solution is...
Provided by GrapeCity
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Case Studies
Implementing a Statistical Database Using Business Intelligence Tools and Data Warehouse Concepts
Feb 2009
The Department of Foreign Affairs and Trade (DFAT) provides foreign and trade policy advice to the government and is the lead agency managing Australia's international presence. DFAT has been...
Provided by Praxa
