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data mining - analysis
(2153 results)-
Whitepapers
Break the "Add More Nodes" Cycle IBM Netezza data warehouse appliances allow your data infrastructure to scale
Jan 2012
In today's challenging and fast-paced economy, time is of the essence: organizations need answers immediately and can no longer wait for deep analytic queries to run in hours, or even days. This...
Provided by IBM
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White Papers
BlogBrain Ops: Proposal for a Semi-automatic Social Web Mining and Cyberinfluence Decision-support Tool for Info Ops Teams
Nov 2011
In this paper, the author is proposing to develop BlogBrain Ops, a novel semi-automatic, Social Web cyberinfluence decision-making tool for 21st century Info Ops teams in the Social Internet age....
Provided by Academy Publisher
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White Papers
The Six Technical Gaps between Intelligent Applications and Real-Time Data Mining: A Critical Review
May 2011
Intelligent application is characterized by its ability to make decision autonomously. Some examples are distributed agents that collaboratively complete a complex task, yet each one of them is...
Provided by Academy Publisher
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White Papers
An Architecture for Integrated Online Analytical Mining
May 2011
OnLine Analytical Processing (OLAP) technology is an essential element of the decision support system and permits decision makers to visualize huge operational data for quick, consistent,...
Provided by Academy Publisher
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White Papers
Data Mining for Resource Planning and QoS Supports in GSM Networks
May 2011
Applications that run on mobile phones shaped a trendy lifestyle for many users nowadays. This led to a significant growth in the proportion of data traffic, relative to voice traffic, to be...
Provided by Academy Publisher
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White Papers
Improving Graph-based Approaches for Personalized Tag Recommendation
May 2011
Social tagging applications allow users to annotate online resources, resulting in a complex network of interrelated users, resources and tags often called a Folksonomy. A folksonomy is often...
Provided by Academy Publisher
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White Papers
A Two-stage Information Filtering Based on Rough Decision Rule and Pattern Mining
Nov 2010
Information Overload and Mismatch are two fundamental problems affecting the effectiveness of information filtering systems. Even though both term-based and pattern-based approaches have been...
Provided by Academy Publisher
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White Papers
Road Crash Proneness Prediction Using Data Mining
Mar 2011
Developing safe and sustainable road systems is a common goal in all countries. Applications to assist with road asset management and crash minimization are sought universally. This paper presents...
Provided by Association for Computing Machinery
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White Papers
SITAC: Discovering Semantically Identical Temporally Altering Concepts in Text Archives
Mar 2011
This paper demonstrates a system called SITAC based on the authors' proposed approach to automate the discovery of concepts (called SITACs) in text sources that are identical semantically but...
Provided by Association for Computing Machinery
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White Papers
Splash: Ad-Hoc Querying of Data and Statistical Models
Mar 2010
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tasks, as well as...
Provided by Association for Computing Machinery
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White Papers
Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems
Jun 2007
This paper describes a personalized recommender system that uses web mining techniques for recommending a student which (next) links to visit within an adaptable educational hypermedia system....
Provided by Technical University of Eindhoven
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White Papers
Co-Integration of Stock Markets Using Wavelet Theory and Data Mining
Oct 2007
The most powerful argument for cross-border investing is the risk reduction due to low correlation of world's stock markets. Risk diversification has become more important as financial markets...
Provided by Indian Institute of Information Technology & Management
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White Papers
The Cost of Privacy: Destruction of Data-Mining Utility in Anonymized Data Publishing
Aug 2008
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "Quasi-identifier"...
Provided by Association for Computing Machinery
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White Papers
Macadamia: Master's Programme in Machine Learning and Data Mining
Apr 2008
The research focus has since shifted from neural networks to machine learning, algorithmic data analysis and data mining. Macadamia is a two-year master's programme for machine learning and data...
Provided by Helsinki University of Technology
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White Papers
A Data Mining Technique to Detect Remote Exploits
Dec 2007
This paper designed and implemented DExtor, a Data Mining based Exploit code detector, to protect network services. The main assumption of the work is that normal traffic into the network services...
Provided by Iowa State University
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Case Studies
Health Insurer Uses Business Process Analysis Tools to Improve Service, Save $75,000
Jul 2008
Highmark Inc. used internal and external resources in multiple locations to run its short-term disability program, causing inefficiencies and customer dissatisfaction. Management sought to...
Provided by Microsoft
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White Papers
On Performance Evaluation of Mining Algorithm for Multiple-Level Association Rules based on Scale-up Characteristics
Nov 2011
The applications of computers, database technologies and automated data collection techniques require large amount of data to be stored into databases. It, thus, becomes necessary to analyze this...
Provided by Academy Publisher
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White Papers
Inferring Asymmetry of Inhabitant Flow Using Call Detail Records
Nov 2011
In this paper, the authors carry out a study of the inhabitant flow using a large mobile phone data with location estimates from subscribers in Suffolk county, Massachusetts, USA that reveals the...
Provided by Academy Publisher
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White Papers
A Review of Machine Learning Algorithms for Text-Documents Classification
Feb 2010
With the increasing availability of electronic documents and the rapid growth of the World Wide Web, the task of automatic categorization of documents became the key method for organizing the...
Provided by Academy Publisher
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White Papers
Neighborhood Component Feature Selection for High-Dimensional Data
Jan 2012
Feature selection is of considerable importance in data mining and machine learning, especially for high dimensional data. In this paper, the authors propose a novel nearest neighbor-based feature...
Provided by Academy Publisher
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White Papers
A Unified Data Mining Solution for Authorship Analysis in Anonymous Textual Communications
Apr 2011
The cyber world provides an anonymous environment for criminals to conduct malicious activities such as spamming, sending ransom e-mails, and spreading botnet malware. Often, these activities...
Provided by Concordia University
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White Papers
Mining Users Similarity of Interests in Web Community
Nov 2011
In Web Community marketing, it is an essential research to discover potential consumer groups based on their interests. In real society, the sociologists deem that the intimate friends show more...
Provided by Academy Publisher
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White Papers
Variable Selection for Credit Risk Model Using Data Mining Technique
Sep 2011
With the emergence of the current financial crisis, societies see the increasing importance of credit risks management in financial institutions. Four mainstream credit risk rating models have...
Provided by Academy Publisher
-
White Papers
A Survey on Cloud Storage
Aug 2011
As interest in the cloud increases, there has been a lot of talk about the maturity and trustworthiness of cloud storage technologies. Is it still hype or is it real? Many end-users and IT...
Provided by Academy Publisher
-
White Papers
Visual Data Mining: From Visualization to Visual Information Mining
Jan 2008
Data mining has been fruitfully used in many of domains, including marketing, medicine, finance, engineering and bioinformatics. There still are, however, a number of factors that militate against...
Provided by National Research Council of Canada
-
White Papers
An Effective Strategy for Identifying Phishing Websites Using Class-Based Approach
Dec 2011
This paper presents a novel approach to overcome the difficulty and complexity in detecting and predicting social networking phishing website. The authors proposed an intelligent resilient and...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA)
May 2011
Artificial Neural Networks (ANNs) are the nonlinear and adaptive information processing systems which are combined by numerous processing units, with the characteristics of self-adapting,...
Provided by Academy Publisher
-
White Papers
Application of Data Mining Technology in Digital Library
Apr 2011
With the rapid development of computer technology and network technology, it ushers in a new Internet era characterized by information and knowledge. There is an urgent need for a new generation...
Provided by Academy Publisher
-
White Papers
Data Mining the Data Processing Technologies for Inventory Management
Apr 2011
This research applied various data mining approaches to investigate the innovations of data processing technologies for inventory management based on the database of the United States Patent and...
Provided by Academy Publisher
-
White Papers
Intelligent Phishing Detection System for e-Banking Using Fuzzy Data Mining
Aug 2010
Detecting and identifying any phishing websites in real-time, particularly for e-banking, is really a complex and dynamic problem involving many factors and criteria. Because of the subjective...
Provided by Reed Elsevier
-
White Papers
Incremental Mining of Across-streams Sequential Patterns in Multiple Data Streams
Mar 2011
Sequential pattern mining is the mining of data sequences for frequent sequential patterns with time sequence, which has a wide application. Data streams are streams of data that arrive at high...
Provided by Academy Publisher
-
White Papers
The Data Mining of the Human Resources Data Warehouse in University Based on Association Rule
Jan 2011
Based on an actual dataset of college human resources, the authors analyzed the data warehouse technologies and combined them with the practical work. The snowflake structure has been described...
Provided by Academy Publisher
-
White Papers
Mining Frequent Item Sets From Incremental Database : A Single Pass Approach
Jan 2011
Apriori based Association Rule Mining (ARM) is one of the data mining techniques used to extract hidden knowledge from datasets that can be used by an organization's decision makers to improve...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Mobile Phone Usage Survey Among Students and Staffs of Universities Using Data Mining Technique
Oct 2011
Data mining refers to extracting knowledge from large amount of data. Real life data mining approaches are interesting because they often present a different set of problems for data miners. Here...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Effective Utilization of Library Books Among University Students Using Data Mining Tool
Oct 2011
Data mining is the process of discovering previously unknown and potentially interesting patterns in large datasets. University Library is an excellent example of knowledge creation, application...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
A Statistical Toolkit for Data Analysis
Jan 2008
The present project aims to develop an open-source and object-oriented software Toolkit for statistical data analysis. Its statistical testing component contains a variety of Goodness-of-Fit...
Provided by University of Genova
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Whitepapers
Forensic Analysis Avoidance Techniques of Malware
Dec 2007
Anti-forensic techniques are increasingly being used by malware writers to avoid detection and analysis of their malicious code. Penalties for writing malware could include termination of...
Provided by Edith Cowan University
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White Papers
Performance Analysis of Data Mining Techniques for Placement Chance Prediction
Aug 2011
Predicting the performance of a student is a great concern to the higher education managements. The scope of this paper is to investigate the accuracy of data mining techniques in such an...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Evolving Data Mining Algorithms on the Prevailing Crime Trend - An Intelligent Crime Prediction Model
Jun 2011
Crime is a behavior deviation from normal activity of the norms giving people losses and harms. Crimes are a social nuisance and cost their society dearly in several ways. In this paper, the...
Provided by International Journal of Scientific & Engineering Research
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White Papers
A Study of Application of Data Mining in Demonstrating Business Intelligence
Feb 2011
Business Intelligence (BI) has been referred to as the process of making better decisions through the use of people, processes, data and related tools and methodologies. Data mining is the...
Provided by International Journal of Scientific & Engineering Research
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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
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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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
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
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
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
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
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
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
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
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
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
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
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
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
Spatial Data Mining and Visualization Based on Self-Organizing Map
Dec 2008
Based on the traditional spatial data analysis, a novel mode of spatial data mining and visualization is proposed which integrates the self-organizing map for the actual problem. Simulations for...
Provided by Xinyang Normal University
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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
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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
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
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
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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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
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
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
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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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
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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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
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
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
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
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
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
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
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
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
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
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
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
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
Variable Selection for Credit Risk Model Using Data Mining Technique
Sep 2011
With the emergence of the current financial crisis, societies see the increasing importance of credit risks management in financial institutions. Four mainstream credit risk rating models have...
Provided by Academy Publisher
-
White Papers
A Survey on Cloud Storage
Aug 2011
As interest in the cloud increases, there has been a lot of talk about the maturity and trustworthiness of cloud storage technologies. Is it still hype or is it real? Many end-users and IT...
Provided by Academy Publisher
-
White Papers
Visual Data Mining: From Visualization to Visual Information Mining
Jan 2008
Data mining has been fruitfully used in many of domains, including marketing, medicine, finance, engineering and bioinformatics. There still are, however, a number of factors that militate against...
Provided by National Research Council of Canada
-
White Papers
An Effective Strategy for Identifying Phishing Websites Using Class-Based Approach
Dec 2011
This paper presents a novel approach to overcome the difficulty and complexity in detecting and predicting social networking phishing website. The authors proposed an intelligent resilient and...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA)
May 2011
Artificial Neural Networks (ANNs) are the nonlinear and adaptive information processing systems which are combined by numerous processing units, with the characteristics of self-adapting,...
Provided by Academy Publisher
-
White Papers
Application of Data Mining Technology in Digital Library
Apr 2011
With the rapid development of computer technology and network technology, it ushers in a new Internet era characterized by information and knowledge. There is an urgent need for a new generation...
Provided by Academy Publisher
-
White Papers
Data Mining the Data Processing Technologies for Inventory Management
Apr 2011
This research applied various data mining approaches to investigate the innovations of data processing technologies for inventory management based on the database of the United States Patent and...
Provided by Academy Publisher
-
White Papers
Intelligent Phishing Detection System for e-Banking Using Fuzzy Data Mining
Aug 2010
Detecting and identifying any phishing websites in real-time, particularly for e-banking, is really a complex and dynamic problem involving many factors and criteria. Because of the subjective...
Provided by Reed Elsevier
-
White Papers
Incremental Mining of Across-streams Sequential Patterns in Multiple Data Streams
Mar 2011
Sequential pattern mining is the mining of data sequences for frequent sequential patterns with time sequence, which has a wide application. Data streams are streams of data that arrive at high...
Provided by Academy Publisher
-
White Papers
The Data Mining of the Human Resources Data Warehouse in University Based on Association Rule
Jan 2011
Based on an actual dataset of college human resources, the authors analyzed the data warehouse technologies and combined them with the practical work. The snowflake structure has been described...
Provided by Academy Publisher
-
White Papers
Mining Frequent Item Sets From Incremental Database : A Single Pass Approach
Jan 2011
Apriori based Association Rule Mining (ARM) is one of the data mining techniques used to extract hidden knowledge from datasets that can be used by an organization's decision makers to improve...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Mobile Phone Usage Survey Among Students and Staffs of Universities Using Data Mining Technique
Oct 2011
Data mining refers to extracting knowledge from large amount of data. Real life data mining approaches are interesting because they often present a different set of problems for data miners. Here...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Effective Utilization of Library Books Among University Students Using Data Mining Tool
Oct 2011
Data mining is the process of discovering previously unknown and potentially interesting patterns in large datasets. University Library is an excellent example of knowledge creation, application...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
A Statistical Toolkit for Data Analysis
Jan 2008
The present project aims to develop an open-source and object-oriented software Toolkit for statistical data analysis. Its statistical testing component contains a variety of Goodness-of-Fit...
Provided by University of Genova
-
Whitepapers
Forensic Analysis Avoidance Techniques of Malware
Dec 2007
Anti-forensic techniques are increasingly being used by malware writers to avoid detection and analysis of their malicious code. Penalties for writing malware could include termination of...
Provided by Edith Cowan University
-
White Papers
Performance Analysis of Data Mining Techniques for Placement Chance Prediction
Aug 2011
Predicting the performance of a student is a great concern to the higher education managements. The scope of this paper is to investigate the accuracy of data mining techniques in such an...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
Evolving Data Mining Algorithms on the Prevailing Crime Trend - An Intelligent Crime Prediction Model
Jun 2011
Crime is a behavior deviation from normal activity of the norms giving people losses and harms. Crimes are a social nuisance and cost their society dearly in several ways. In this paper, the...
Provided by International Journal of Scientific & Engineering Research
-
White Papers
A Study of Application of Data Mining in Demonstrating Business Intelligence
Feb 2011
Business Intelligence (BI) has been referred to as the process of making better decisions through the use of people, processes, data and related tools and methodologies. Data mining is the...
Provided by International Journal of Scientific & Engineering Research
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White Papers
Use BI to explore and share data
Feb 2012
If you are looking for an edge in an increasingly competitive global environment, business intelligence (BI) software is a proven differentiator. Now, even smaller organisations can compete on a...
Provided by SAP
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White Papers
Enabling Multi-Level Trust in Privacy Preserving Data Mining
Dec 2008
Privacy Preserving Data Mining (PPDM) addresses the problem of developing accurate models about aggregated data without access to precise information in individual data record. A widely studied...
Provided by University of California
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White Papers
Incremental Mining of Closed Sequential Patterns in Multiple Data Streams
May 2011
Sequential pattern mining searches for the relative sequence of events, allowing users to make predictions on discovered sequential patterns. Due to drastically advanced information technology...
Provided by Academy Publisher
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Webcasts
MVP TV: Gaze Into the Crystal Ball: Reporting in Team System Made Easy!
Oct 2008
The attendee of this webcast will learn how to interpret the build in reports. The presenter shows what's required to create the reports, and how to use Excel pivot tables to connect to the TFS...
Provided by Microsoft
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Webcasts
Microsoft Dynamics Webcast: SmartList Builder Gets Even Better With the New Excel Report Builder Functionality (Level 100)
Oct 2008
Now one can query more data in more ways, because SmartList Builder gives the access to all the information that one capture, enabling to create the own reports in Microsoft Office Excel from...
Provided by Microsoft
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Case Studies
Oss Council Improves Planning and Control Cycle Thanks to "Navigus Gemeenten"
Sep 2008
Oss Council wanted to implement the planning and control cycle more efficiently and provide it with more professional support and be able to manage activities in a more results-oriented way. The...
Provided by Oracle
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White Papers
WSAT: A Tool for Formal Analysis of Web Services
Jan 2008
This paper presents Web Service Analysis Tool (WSAT), a tool for analyzing and verifying composite web service designs, with the state of the art model checking techniques. Web services are...
Provided by University of California
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White Papers
Survey of Finding Frequent Patterns in Graph Mining: Algorithms and Techniques
Jul 2011
Graphs become increasingly important in modeling complicated structures, such as circuits, images, chemical compounds, protein structures, biological networks, social networks, the web, workflows,...
Provided by International Journal of Soft Computing and Engineering (IJSCE)
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White Papers
Introducing Data Mining Techniques and Software Engineering to High School Science Students
Oct 2008
This paper describes the activities of a Computer Science doctoral student and a Secondary Education master's student in the design, development, and implementation of a lesson for a high school...
Provided by Institute of Electrical and Electronics Engineers
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Case Studies
Researchers Use Commercial Database Tools to Analyze Terabytes of Data More Easily
Aug 2008
The Daggett Research Group within the University of Washington Department of Bioengineering is world-renowned in the study of protein stability, function, and folding. However, because the group...
Provided by Microsoft
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White Papers
An Efficient Method of Web Sequential Pattern Mining Based on Session Filter and Transaction Identification
Sep 2010
Web sequential pattern mining is an important way to analyze the access behavior of web users. In this paper, the authors present an efficient method of web sequential pattern mining based on...
Provided by Academy Publisher
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White Papers
Combining Akaike's Information Criterion (AIC) and the Golden-Section Search Technique to Find Optimal Numbers of K-Nearest Neighbors
May 2010
K-Nearest Neighbor (KNN) is one of the accepted classification tool. Classification is one of the foremost machine-learning tools used in field of medical data mining. However, one of the most...
Provided by International Journal of Computer Applications
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White Papers
Greedy Search-Binary PSO Hybrid for Biclustering Gene Expression Data
May 2010
As a useful data mining technique biclustering identifies local patterns from gene expression data. A bicluster of a gene expression dataset is a subset of genes which exhibit similar expression...
Provided by International Journal of Computer Applications
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White Papers
High Speed, Low Complexity, Folded, Polymorphic Wavelet Architecture Using Reconfigurable Hardware
Jun 2010
The association rules and its usage put forwarded lots of hopes in the field of data mining. The researchers in the field are going after the association rule mining techniques to find fastest as...
Provided by International Journal of Computer Applications
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White Papers
The Adaptability of Conventional Data Mining Algorithms Through Intelligent Mobile Agents in Modern Distributed Systems
Jan 2012
Intelligent mobile agents are today accepted as powerful tools for data mining in a distributed environment. The use of data mining algorithms further beefs up the intelligence in software agents....
Provided by International Journal of Computer Science Issues
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White Papers
Privacy Preserving RFE-SVM for Distributed Gene Selection
Jan 2012
The Support Vector Machine Recursive Feature Elimination (SVMRFE) is one of the most effective feature selection methods which has been successfully used in selecting informative genes for cancer...
Provided by International Journal of Computer Science Issues
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White Papers
Performance Based Novel Techniques for Semantic Web Mining
Jan 2012
The explosive growth in the size and use of the World Wide Web continuously creates new great challenges and needs. The need for predicting the users' preferences in order to expedite and improve...
Provided by International Journal of Computer Science Issues
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White Papers
A Generalized Framework of Privacy Preservation in Distributed Data Mining for Unstructured Data Environment
Jan 2012
The management of unstructured data is recognized as one of the major unsolved problems in the information industry and data mining paradigm. Unstructured data in computerized information that...
Provided by International Journal of Computer Science Issues
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White Papers
Ascertaining Data Mining Rules Using Statistical Approaches
May 2011
Knowledge acquisition techniques have been well researched in the data mining community. Such techniques, especially when used for unsupervised learning, often generate a large quantity of rules...
Provided by International Association of Computer Science & Information Technology (IACSIT)
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White Papers
The Social Network Mining of BBS
Jun 2009
Because of the rich and varied resources in internet and social entertainment communities, more and more people or groups are spending their time on discovering the social relationship between...
Provided by Academy Publisher
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White Papers
Framework on Outlier Sequential Patterns for Outbreak Detection
Jan 2012
There are many outbreak detection that available with various techniques being introduced ranging from statistic to data mining including machine learning. With the direction of spatial-temporal...
Provided by International Association of Computer Science & Information Technology (IACSIT)
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White Papers
Towards Applying Data Mining Techniques for Talent Management
Jan 2012
Among the challenges of HR professionals is to manage organization's talents, especially to ensure the right person assign to the right job at the right time. This paper presents an overview of...
Provided by International Association of Computer Science & Information Technology (IACSIT)
