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Mission Statement
TechRepublic's ITPapers is the Web's largest library of free technical IT white papers, webcasts, and case studies. Covering IT categories including Data Management, IT Management, Networking, Communications, Enterprise Applications, Storage, Security and much more, TechRepublic's White Paper Directory is the best source for technical white papers and IT information.
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White Papers
Extraction, Transformation, and Loading
Dec 2007
Extraction, Transformation, and Loading (ETL) processes are responsible for the operations taking place in the back stage of a data warehouse architecture. In a high level description of an ETL...
Provided by University of Ioannina
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White Papers
Leveraging Business Process Models for ETL Design
Jan 2011
As Business Intelligence evolves from off-line strategic decision making to on-line operational decision making, the design of the back-end Extract-Transform-Load (ETL) processes is becoming even...
Provided by Hewlett Packard
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White Papers
Optimizing ETL Workflows for Fault-Tolerance
Jan 2010
Extract-Transform-Load (ETL) processes play an important role in data warehousing. Typically, design work on ETL has focused on performance as the sole metric to make sure that the ETL process...
Provided by Hewlett Packard
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White Papers
Partitioning Real-Time ETL Workflows
Jan 2010
Many organizations are aiming to move away from traditional batch processing ETL to Real-Time ETL (RT-ETL). This move is motivated by a need to analyze and take decisions on as fresh a data as...
Provided by Hewlett Packard
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White Papers
A Taxonomy of ETL Activities
Nov 2009
Extract-Transform-Load (ETL) activities are software modules responsible for populating a data warehouse with operational data, which have undergone a series of transformations on their way to the...
Provided by Association for Computing Machinery
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White Papers
Rule-Based Management of Schema Changes at ETL Sources
Oct 2009
In this paper, the authors visit the problem of the management of inconsistencies emerging on ETL processes as results of evolution operations occurring at their sources. They abstract...
Provided by National Technical University of Athens
-
White Papers
Benchmarking ETL Workflows
Aug 2009
Extraction-Transform-Load (ETL) processes comprise complex data work-flows, which are responsible for the maintenance of a Data Warehouse. A plethora of ETL tools is currently available...
Provided by University of Ioannina
-
White Papers
QoX-Driven ETL Design: Reducing the Cost of ETL Consulting Engagements
Jul 2009
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes grows. In...
Provided by Association for Computing Machinery
-
White Papers
Automating the Loading of Business Process Data Warehouses
Mar 2009
Business processes drive the operations of an enterprise. In the past, the focus was primarily on business process design, modeling, and automation. Recently, enterprises have realized that they...
Provided by Association for Computing Machinery
-
White Papers
Towards a Benchmark for ETL Workflows
Sep 2007
Extraction-Transform-Load (ETL) processes comprise complex data work-flows, which are responsible for the maintenance of a Data Warehouse. Their practical importance is denoted by the fact that a...
Provided by Association for Computing Machinery
-
White Papers
Exploiting Duality in Summarization With Deterministic Guarantees
Aug 2007
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic quality guarantee,...
Provided by Association for Computing Machinery
-
White Papers
Study of Semantic Web Usage Mining
Jan 2012
The related theories of Web and Web mining in semantic are concluded and analyzed in this paper. The description on RDF resource is analyzed on the semantic step, and the clustering method for...
Provided by International Association of Computer Science & Information Technology (IACSIT)
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Whitepapers
On Clustering Algorithms for Uncertain Data
Mar 2009
In this paper, the authors will study the clustering problem for uncertain data. When information about the data uncertainty is available, it can be leveraged in order to improve the quality of...
Provided by IBM
-
White Papers
How Users Use Access Control
Jul 2009
Existing technologies for file sharing differ widely in the granularity of control they give users over who can access their data; achieving finer-grained control generally requires more user...
Provided by Palo Alto Research Center
-
White Papers
A Comparison of Rule Inheritance in Model-to-Model Transformation Languages
Feb 2011
Although model transformations presumably play a major role in Model-Driven Engineering, reuse mechanisms such as inheritance have received little attention so far. In this paper, the authors...
Provided by Vienna University of Technology
-
White Papers
Multilayer Ensemble Pruning Via Novel Multi-Sub-Swarm Particle Swarm Optimization
Feb 2009
Recently, classifier ensemble methods are gaining more and more attention in the machine-learning and data-mining communities. In most cases, the performance of an ensemble is better than a single...
Provided by Journal of Universal Computer Science
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White Papers
Performance Analysis of Hybrid Swarm Intelligence Rule Induction Algorithm
May 2010
Data mining is used to extract potential information from data base. Rule induction is used to extract information from data base and display it in IF-THEN rule format. First the classification...
Provided by Kongu Engineering College
-
White Papers
Development of an Efficient Data Mining Classifier With Microarray Data Set for Gene Selection and Classification
Jan 2012
Microarray sample classification has been studied extensively using classification techniques in machine learning and pattern recognition. In a microarray chip, the number of genes available is...
Provided by Journal of Theoretical and Applied Information Technology
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White Papers
Regionalisation as Spatial Data Mining Problem: A Comparative Study
Jun 2011
Regionalisation, an important problem from sociogeography. It could be solved by a classification algorithm for grouping spatial objects. A typical task is to find spatially compact and dense...
Provided by Rungta Group of Colleges
-
White Papers
Discriminative Features Selection in Text Mining Using TF-IDF Scheme
Aug 2011
This paper describes technique for discriminative features selection in Text mining. 'Text mining' is the discovery of new, previously unknown information, by computer. Discriminative features are...
Provided by Bapurao Deshmukh College of Engineering
-
White Papers
A Mining Technique for Web Data Using Clustering
Aug 2011
Web text mining is an important branch in the data mining. Text mining is the process of searching large volumes of documents from certain keywords or key phrases. An extension of text mining is...
Provided by Bapurao Deshmukh College of Engineering
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White Papers
Parameter Based Quality Measurement of Data Warehouse
Jun 2011
Data warehousing is most demanding technology to facilitate analytical processing on data from remote sources. This technology is being employed successfully today in many organizations specially...
Provided by International Journal of Electronics Communication and Computer Engineering
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White Papers
Data Warehousing and Phases Used in Internet Mining
Aug 2011
In this paper, the authors describe the data warehousing and data mining. Data Warehousing is the process of storing the data on large scale and Data mining is the process of analyzing data from...
Provided by International Journal of Computer Science and Management Studies
-
White Papers
Efficient Incremental Constrained Clustering
Aug 2007
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper, the authors explore the...
Provided by Association for Computing Machinery
-
White Papers
Improve Teaching Method of Data Mining Course
Mar 2012
It is clearly perceived that most of theoretical information, the authors teach to students are lost after graduation, mostly because abstract information do not last in students' minds much...
Provided by mecs-press
-
White Papers
Automated Data Analysis Techniques for a Modern Silicon Debug Environment
Jan 2012
With the growing size of modern designs and more strict time-to-market constraints, design errors unavoidably escape pre-silicon verification and reside in silicon prototypes. As a result, silicon...
Provided by University of Toronto
-
White Papers
Graph Partition and Identification of Cluster Number in Data Analysis
Feb 2011
Modern computing with wide range of applications in different areas such as Internet, biology, and social science, involves large scale of data analysis. The relations of data can be modeled as...
Provided by Association for Computing Machinery
-
White Papers
An Optimal Algorithm for Conflict-Free Coloring for Tree of Rings
Feb 2012
An optimal algorithm is presented about Conflict-Free Coloring for connected subgraphs of tree of rings. Suppose, the number of the rings in the tree is |T| and the maximum length of rings is |R|....
Provided by Academy & Industry Research Collaboration Center
-
White Papers
Continuous Monitoring of Distance-Based Outliers Over Data Streams
Mar 2011
Anomaly detection is considered an important data mining task, aiming at the discovery of elements (also known as outliers) that show significant diversion from the expected case. More...
Provided by Aristotle University of Thessaloniki
-
White Papers
Improving Performance of Distributed Data Mining (DDM) With Multi-Agent System
Mar 2012
Autonomous agents and multi-agent systems (or agents) and knowledge discovery (or data mining) are two of the most active areas in information technology. Ongoing research has revealed a number of...
Provided by International Journal of Computer Science Issues
-
White Papers
Project Management Phases of a SCADA System for Automation of Electrical Distribution Networks
Mar 2012
The aim of this paper is, firstly, to recall the basic concepts of SCADA (Supervisory Control And Data Acquisition) systems, to present the project management phases of SCADA for real time...
Provided by International Journal of Computer Science Issues
-
White Papers
Predictive Data Mining and Discovering Hidden Values of Data Warehouse
Apr 2011
Data Mining is an analytic process to explore data (usually large amounts of data - typically business or market related) in search of consistent patterns and/or systematic relationships between...
Provided by ARPN Journal of Systems and Software
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White Papers
Customer Data Clustering Using Data Mining Technique
Nov 2011
Classification and patterns extraction from customer data is very important for business support and decision making. Timely identification of newly emerging trends is very important in business...
Provided by Academy & Industry Research Collaboration Center
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White Papers
Application of Data Mining Techniques to a Selected Business Organization With Special Reference to Buying Behavior
Nov 2011
Data mining is a new concept & an exploration and analysis of large data sets, in order to discover meaningful patterns and rules. Many organizations are now using the data mining techniques to...
Provided by Academy & Industry Research Collaboration Center
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White Papers
A Survey of User-Centric Data Warehouses: From Personalization to Recommendation
May 2011
Providing a customized support for the OLAP brings tremendous challenges to the OLAP technology. Standing at the crossroads of the preferences and the data warehouse, two emerging trends are...
Provided by Academy & Industry Research Collaboration Center
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White Papers
Using Ontologies for the Design of Data Warehouses
May 2011
Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a...
Provided by Academy & Industry Research Collaboration Center
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White Papers
Analysis of View Selection Problem in Data Warehousing Environment
Jan 2012
A Data Warehouse (DW) can be seen as a set of materialized views defined over the source relations. During the initial design and evolution of a DW, the DW designer is faced, on many occasions,...
Provided by International Journal of Engineering and Technology
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White Papers
Formal Modelling Framework of Data Acquisition Modules Using a Synchronous Approach for Timing Analysis
Oct 2009
In the field of process control, data acquisition modules (such as device drivers) require special care in their design, because they usually stand as bottlenecks between hardware devices and...
Provided by Universite de Lyon
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Case Studies
IBM Skills and Competency Analyzer (SCAN) Automates and Speeds Up Accurate Skills Analysis
Sep 2010
IBM's business model is built to support two principal goals: helping its clients succeed in delivering business value by becoming more efficient and competitive. Analyzing the gap between the...
Provided by IBM
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White Papers
Writer Identification and Recognition Using Radial Basis Function
Jun 2010
Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human...
Provided by International Journal of Computer Science and Information Technologies
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White Papers
Business Intelligence: A Strategic Imperative in the Current Healthcare Economy
Jul 2009
In today's climate, healthcare providers face increased economic, regulatory and competitive pressures, all of which threaten to reduce revenue and squeeze already decreasing margins. Rising bad...
Provided by MedeAnalytics
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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
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 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
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
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
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
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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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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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
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
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
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
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
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
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
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 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
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
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
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
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
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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Webcasts
Business Objects - Business Intelligence (BI) Solutions
Jan 2009
In the past, mid-size companies found it difficult to gain insight into business data. Business intelligence (BI) was perceived to be costly, complex, and only for industry giants. The attendee...
Provided by Dell
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Case Studies
Just-in-Time Intelligence Helps Comic Relief Boost Donations 25% While Reducing Failure Risk
Aug 2009
Comic Relief wanted to calculate real-time online donations for broadcast during Red Nose Day 2009, a seven-hour, live, televised fundraising event and identify the clips that generate the highest...
Provided by Oracle
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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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Case Studies
Afibel Enables Problem-Free Template Designing for Over 500,000 Customer Mailings Each Year
Jul 2009
Afibel, a mail-order company dedicated to ready-to-wear clothing, mainly for older women, now serves over a million customers in France, Belgium, and the UK. Afibel wanted to acquire a publishing...
Provided by Oracle
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White Papers
Rich Information Applications or Business Intelligence - How Do I Choose?
Mar 2008
Traditional Business Intelligence (BI) tools are designed to help self-sufficient power users to access, massage and present information to management. In contrast, as an information application...
Provided by Actuate
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White Papers
Fuelling the Engine: The Importance of Business Intelligence and Performance Management to the Mid-Market
Jul 2009
Across the mid-market, inefficiencies are compounded by the lack of visibility into pertinent data, of processes being adequately and flexibly automated, and for the performance of the business to...
Provided by Quocirca
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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
-
White Papers
How to Build Business Intelligence Using Oracle Real User Experience Insight
Apr 2009
This whitepaper highlights how Oracle Real User Experience Insight complements traditional Web analytics technologies and solutions, enabling them to maximize their value to the business....
Provided by Oracle
-
White Papers
Oracle Warehouse Builder Tips and Tricks: Advanced Data Transformations
Feb 2009
Oracle Warehouse Builder 11g, the tenth major release of OWB, delivers a rich ETL, data warehousing and data quality feature set that enhances productivity and contributes to project success while...
Provided by Oracle
-
White Papers
Deploying Oracle Hyperion Smart View for Office, Fusion Edition
Jan 2009
Oracle Hyperion Smart View for Office, Fusion Edition (Smart View) provides a common Microsoft Office interface for Oracle Enterprise Performance Management (EPM) suite of products along with...
Provided by Oracle
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White Papers
Driving Management Excellence for SAP Customers With Oracle Enterprise Performance Management
Mar 2009
More than 4,000 companies that use SAP to run their business also rely on Oracle's Enterprise Performance Management (EPM) system to manage their business. This occurs because Oracle's EPM system...
Provided by Oracle
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Case Studies
Catholic Syrian Bank Processes 50,000 Transactions Per Hour, Supports 1,500 Concurrent Users
May 2009
The Catholic Syrian Bank wanted to replace distributed, homegrown systems with a core banking application that would provide an integrated view of activities across 363 branches and enable...
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
-
Case Studies
Axione Saves More Than 15 Hours Per Month by Automating Business Statistics Publishing Processes
Jun 2009
Axione wanted to meet increasing demands of operators for customized technical and business reports and automate and streamline report publishing and improve the quality of published reports. The...
Provided by Oracle
-
Case Studies
Woonzorggroep Wilgaerden Leverages Business Intelligence to Improve Quality and Efficiency of Care
Jun 2009
Woonzorggroep Wilgaerden wanted to improve the quality and efficiency of care and anticipate and discover matters that need quick attention. The challenge was to reduce the time required to...
Provided by Oracle
-
White Papers
Rule-Based Management of Schema Changes at ETL Sources
Oct 2009
In this paper, the authors visit the problem of the management of inconsistencies emerging on ETL processes as results of evolution operations occurring at their sources. They abstract...
Provided by National Technical University of Athens
-
White Papers
Benchmarking ETL Workflows
Aug 2009
Extraction-Transform-Load (ETL) processes comprise complex data work-flows, which are responsible for the maintenance of a Data Warehouse. A plethora of ETL tools is currently available...
Provided by University of Ioannina
-
White Papers
QoX-Driven ETL Design: Reducing the Cost of ETL Consulting Engagements
Jul 2009
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes grows. In...
Provided by Association for Computing Machinery
-
White Papers
Automating the Loading of Business Process Data Warehouses
Mar 2009
Business processes drive the operations of an enterprise. In the past, the focus was primarily on business process design, modeling, and automation. Recently, enterprises have realized that they...
Provided by Association for Computing Machinery
-
White Papers
Towards a Benchmark for ETL Workflows
Sep 2007
Extraction-Transform-Load (ETL) processes comprise complex data work-flows, which are responsible for the maintenance of a Data Warehouse. Their practical importance is denoted by the fact that a...
Provided by Association for Computing Machinery
-
White Papers
Exploiting Duality in Summarization With Deterministic Guarantees
Aug 2007
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic quality guarantee,...
Provided by Association for Computing Machinery
-
White Papers
Study of Semantic Web Usage Mining
Jan 2012
The related theories of Web and Web mining in semantic are concluded and analyzed in this paper. The description on RDF resource is analyzed on the semantic step, and the clustering method for...
Provided by International Association of Computer Science & Information Technology (IACSIT)
-
Whitepapers
On Clustering Algorithms for Uncertain Data
Mar 2009
In this paper, the authors will study the clustering problem for uncertain data. When information about the data uncertainty is available, it can be leveraged in order to improve the quality of...
Provided by IBM
-
White Papers
How Users Use Access Control
Jul 2009
Existing technologies for file sharing differ widely in the granularity of control they give users over who can access their data; achieving finer-grained control generally requires more user...
Provided by Palo Alto Research Center
-
White Papers
A Comparison of Rule Inheritance in Model-to-Model Transformation Languages
Feb 2011
Although model transformations presumably play a major role in Model-Driven Engineering, reuse mechanisms such as inheritance have received little attention so far. In this paper, the authors...
Provided by Vienna University of Technology
-
White Papers
Multilayer Ensemble Pruning Via Novel Multi-Sub-Swarm Particle Swarm Optimization
Feb 2009
Recently, classifier ensemble methods are gaining more and more attention in the machine-learning and data-mining communities. In most cases, the performance of an ensemble is better than a single...
Provided by Journal of Universal Computer Science
-
White Papers
Performance Analysis of Hybrid Swarm Intelligence Rule Induction Algorithm
May 2010
Data mining is used to extract potential information from data base. Rule induction is used to extract information from data base and display it in IF-THEN rule format. First the classification...
Provided by Kongu Engineering College
-
White Papers
Development of an Efficient Data Mining Classifier With Microarray Data Set for Gene Selection and Classification
Jan 2012
Microarray sample classification has been studied extensively using classification techniques in machine learning and pattern recognition. In a microarray chip, the number of genes available is...
Provided by Journal of Theoretical and Applied Information Technology
-
White Papers
Regionalisation as Spatial Data Mining Problem: A Comparative Study
Jun 2011
Regionalisation, an important problem from sociogeography. It could be solved by a classification algorithm for grouping spatial objects. A typical task is to find spatially compact and dense...
Provided by Rungta Group of Colleges
-
White Papers
Discriminative Features Selection in Text Mining Using TF-IDF Scheme
Aug 2011
This paper describes technique for discriminative features selection in Text mining. 'Text mining' is the discovery of new, previously unknown information, by computer. Discriminative features are...
Provided by Bapurao Deshmukh College of Engineering
-
White Papers
A Mining Technique for Web Data Using Clustering
Aug 2011
Web text mining is an important branch in the data mining. Text mining is the process of searching large volumes of documents from certain keywords or key phrases. An extension of text mining is...
Provided by Bapurao Deshmukh College of Engineering
-
White Papers
Parameter Based Quality Measurement of Data Warehouse
Jun 2011
Data warehousing is most demanding technology to facilitate analytical processing on data from remote sources. This technology is being employed successfully today in many organizations specially...
Provided by International Journal of Electronics Communication and Computer Engineering
-
White Papers
Data Warehousing and Phases Used in Internet Mining
Aug 2011
In this paper, the authors describe the data warehousing and data mining. Data Warehousing is the process of storing the data on large scale and Data mining is the process of analyzing data from...
Provided by International Journal of Computer Science and Management Studies
-
White Papers
Efficient Incremental Constrained Clustering
Aug 2007
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper, the authors explore the...
Provided by Association for Computing Machinery
-
White Papers
Improve Teaching Method of Data Mining Course
Mar 2012
It is clearly perceived that most of theoretical information, the authors teach to students are lost after graduation, mostly because abstract information do not last in students' minds much...
Provided by mecs-press
-
White Papers
Automated Data Analysis Techniques for a Modern Silicon Debug Environment
Jan 2012
With the growing size of modern designs and more strict time-to-market constraints, design errors unavoidably escape pre-silicon verification and reside in silicon prototypes. As a result, silicon...
Provided by University of Toronto
-
White Papers
Graph Partition and Identification of Cluster Number in Data Analysis
Feb 2011
Modern computing with wide range of applications in different areas such as Internet, biology, and social science, involves large scale of data analysis. The relations of data can be modeled as...
Provided by Association for Computing Machinery
-
White Papers
An Optimal Algorithm for Conflict-Free Coloring for Tree of Rings
Feb 2012
An optimal algorithm is presented about Conflict-Free Coloring for connected subgraphs of tree of rings. Suppose, the number of the rings in the tree is |T| and the maximum length of rings is |R|....
Provided by Academy & Industry Research Collaboration Center
-
White Papers
Continuous Monitoring of Distance-Based Outliers Over Data Streams
Mar 2011
Anomaly detection is considered an important data mining task, aiming at the discovery of elements (also known as outliers) that show significant diversion from the expected case. More...
Provided by Aristotle University of Thessaloniki
-
White Papers
Improving Performance of Distributed Data Mining (DDM) With Multi-Agent System
Mar 2012
Autonomous agents and multi-agent systems (or agents) and knowledge discovery (or data mining) are two of the most active areas in information technology. Ongoing research has revealed a number of...
Provided by International Journal of Computer Science Issues
-
White Papers
Project Management Phases of a SCADA System for Automation of Electrical Distribution Networks
Mar 2012
The aim of this paper is, firstly, to recall the basic concepts of SCADA (Supervisory Control And Data Acquisition) systems, to present the project management phases of SCADA for real time...
Provided by International Journal of Computer Science Issues
-
White Papers
Predictive Data Mining and Discovering Hidden Values of Data Warehouse
Apr 2011
Data Mining is an analytic process to explore data (usually large amounts of data - typically business or market related) in search of consistent patterns and/or systematic relationships between...
Provided by ARPN Journal of Systems and Software
-
White Papers
Customer Data Clustering Using Data Mining Technique
Nov 2011
Classification and patterns extraction from customer data is very important for business support and decision making. Timely identification of newly emerging trends is very important in business...
Provided by Academy & Industry Research Collaboration Center
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White Papers
Application of Data Mining Techniques to a Selected Business Organization With Special Reference to Buying Behavior
Nov 2011
Data mining is a new concept & an exploration and analysis of large data sets, in order to discover meaningful patterns and rules. Many organizations are now using the data mining techniques to...
Provided by Academy & Industry Research Collaboration Center
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White Papers
A Survey of User-Centric Data Warehouses: From Personalization to Recommendation
May 2011
Providing a customized support for the OLAP brings tremendous challenges to the OLAP technology. Standing at the crossroads of the preferences and the data warehouse, two emerging trends are...
Provided by Academy & Industry Research Collaboration Center
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White Papers
Using Ontologies for the Design of Data Warehouses
May 2011
Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a...
Provided by Academy & Industry Research Collaboration Center
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White Papers
Analysis of View Selection Problem in Data Warehousing Environment
Jan 2012
A Data Warehouse (DW) can be seen as a set of materialized views defined over the source relations. During the initial design and evolution of a DW, the DW designer is faced, on many occasions,...
Provided by International Journal of Engineering and Technology
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White Papers
Formal Modelling Framework of Data Acquisition Modules Using a Synchronous Approach for Timing Analysis
Oct 2009
In the field of process control, data acquisition modules (such as device drivers) require special care in their design, because they usually stand as bottlenecks between hardware devices and...
Provided by Universite de Lyon
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Case Studies
IBM Skills and Competency Analyzer (SCAN) Automates and Speeds Up Accurate Skills Analysis
Sep 2010
IBM's business model is built to support two principal goals: helping its clients succeed in delivering business value by becoming more efficient and competitive. Analyzing the gap between the...
Provided by IBM
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White Papers
Writer Identification and Recognition Using Radial Basis Function
Jun 2010
Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human...
Provided by International Journal of Computer Science and Information Technologies
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White Papers
The BARC BI Survey 10 - QlikView Highlights
Dec 2011
In October 2011, Business Application Research Center (BARC) published The BI Survey 10 - The Customer Verdict. BARC gathered the information contained in this paper via a comprehensive survey of...
Provided by QlikTech
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White Papers
Intelligent Data Analysis Using Data Mining Techniques
Jul 2011
The power of modern computing technology makes data gathering and storage easier. This leads to create new range of problems and challenges for data analysis. In this paper approach based on...
Provided by International Journal of Computer Science and Information Technologies
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White Papers
Data Mining : A Prediction of Performer or Underperformer Using Classification
May 2011
Now a day's students have a large set of data having precious information hidden. Data mining technique can help to find this hidden information. In this paper, data mining techniques name Byes...
Provided by International Journal of Computer Science and Information Technologies
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White Papers
Comparitive Study of Probabilistic Neural Network and Radial Basis Functional Link Neural Network in Time Series Data Mining
Nov 2011
This paper proposes a comparative analysis between Radial Basis Functional Link Network (RBFLN) - a combination of radial basis functions with the random vector functional link nets with...
Provided by International Journal of Computer Science and Information Technologies
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White Papers
Warehouse Management for Improved Efficiency in a Small Warehouse
Jan 2012
Recently new innovative warehouse layouts are suggested that do not follow usual restrictions of ubiquitous traditional designs. One of them, called fishbone layout, showed potential to reduce...
Provided by International Journal of Computer Science and Information Technologies
