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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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Whitepapers
Application of Particle Swarm Optimization in Data Clustering: A Survey
Mar 2013
Clustering is the process of organizing similar objects into groups, with its main objective of organizing a collection of data items into some meaningful groups. The problem of Clustering has...
Provided by Assam University
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Whitepapers
Association Rule Hiding by Heuristic Approach to Reduce Side Effects & Hide Multiple R.H.S. Items
May 2012
Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. One of the great challenges of data mining is to protect the confidentiality of...
Provided by International Journal of Computer Applications
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Whitepapers
Eliminating Homogeneous Cluster Setup for Efficient Parallel Data Processing
Feb 2013
This project proposes to eliminate homogeneous cluster setup in a parallel data processing environment. A homogeneous cluster setup supports static nature of processing which is a huge...
Provided by Amity University
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Whitepapers
A Survey on Association Rule Mining Using Apriori Algorithm
May 2012
Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of...
Provided by International Journal of Computer Applications
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Whitepapers
Target Oriented Sequential Pattern Mining Using Recency and Monetary Constraints
May 2012
Many approaches in constraint based sequential pattern mining have been proposed and most of them focus only on the concept of frequency, which means, if a pattern is not frequent, it is removed...
Provided by International Journal of Computer Applications
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Whitepapers
Comprehensive Survey of Framework for Web Personalization Using Web Mining
Dec 2011
World Wide Web is a global village and a rich source of information. The number of users accessing web sites is increasing day by day. For effective and efficient handling, web mining coupled with...
Provided by International Journal of Computer Applications
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Whitepapers
Evaluating the Yield of Hybrid Napier Grass with Data Mining Techniques
Dec 2011
Data Mining is the process of identifying the hidden patterns from large amount of data. It is commonly used in a marketing, surveillance, fraud detection and scientific discovery. In data mining,...
Provided by International Journal of Computer Applications
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Whitepapers
Recent Trends in Text Classification Techniques
Dec 2011
Text Mining is the discovery of valuable, yet hidden, information from the text document. Text classification (Also called Text Categorization) is one of the important research issues in the field...
Provided by International Journal of Computer Applications
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Whitepapers
Classification of Vehicle Collision Patterns in Road Accidents Using Data Mining Algorithms
Dec 2011
This paper emphasizes the importance of Data Mining classification algorithms in predicting the vehicle collision patterns occurred in training accident data set. This paper is aimed at deriving...
Provided by International Journal of Computer Applications
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Whitepapers
Without Expert Fuzzy Based Data Mining Based on Fuzzy Similarity to Mine New Association Rules
May 2012
The problem of mining association rules in a database is introduced. Most of association rule mining approaches aim to mine association rules considering exact matches between items in...
Provided by International Journal of Computer Applications
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Whitepapers
Application of Cluster Analysis in Agriculture - A Review Article
Dec 2011
In this paper, the authors humbly present a review of some applications of cluster analysis in the field of agriculture and allied sciences. A few applications among them, which have been...
Provided by International Journal of Computer Applications
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Whitepapers
Implementation of WAP Through an Innovative and Efficient Technique
Dec 2011
Web Access Pattern (WAP) tree mining is finding of sequence pattern from web access log. It has gained importance in view of increasing usage of World Wide Web. Access to web pages generates...
Provided by International Journal of Computer Applications
-
Whitepapers
A Survey on Data Mining Approaches
Dec 2011
In the new world, with advances in modern industries and businesses and increase in the growing need for data with reference to the knowledge of data processing in order to participate in a big...
Provided by International Journal of Computer Applications
-
Whitepapers
An Approach to Automation Selection of Decision Tree Based on Training Data Set
Feb 2013
In Data mining applications, very large training data sets with several million records are common. Decision trees are very much powerful and excellent technique for both classification and...
Provided by International Journal of Computer Applications
-
Whitepapers
Data Mining in Teacher Evaluation System Using WEKA
Feb 2013
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales,...
Provided by University of Tasmania
-
Whitepapers
Recent Trends in Computational Prediction of Renal Transplantation Outcomes
Feb 2013
Renal transplantation has become the treatment of choice for most patients with end-stage renal disease. Recent advances in renal transplantation notably, the matching of Major Histocompatibility...
Provided by University of Kentucky's VisCenter
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Whitepapers
Procedural Steps for Knowledge Mining in Time Series
Feb 2013
Symbolic intervals which form temporal patterns are usually formulated through Allen's interval relations that originate in temporal reasoning. But this representation is not advantages for...
Provided by International Journal of Computer Applications
-
Whitepapers
Clustering for High Dimensional Data: Density Based Subspace Clustering Algorithms
Feb 2013
Finding clusters in high dimensional data is a challenging task as the high dimensional data comprises hundreds of attributes. Subspace clustering is an evolving methodology which, instead of...
Provided by International Journal of Computer Applications
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Whitepapers
Detection of Linkage Patterns Repeating Across Multiple Sequential Data
Feb 2013
Sequential data mining is a technology for acquiring useful information and patterns from large quantities of sequential data. Research into industrial and commercial applications of sequential...
Provided by International Journal of Computer Applications
-
Whitepapers
Study and Analysis of Predictive Data Mining Approaches for Clinical Dataset
Feb 2013
Data Mining is an assortment of effective tool set to perform the statistical analysis on an immense dataset and to retrieve the valuable information from the dataset. In this paper, the authors...
Provided by Maharshi Dayanand University, Rohtak
-
Whitepapers
Pattern Mining Method for Hospital Facility Review Using Optimized Nonlinear Mathematical Model
Feb 2013
The development of discovering appealing, valuable and important patterns from large spatial datasets is stated as spatial data mining. From the preceding hospital location analyses technique, the...
Provided by International Journal of Computer Applications
-
Whitepapers
A Novel Algorithm for Cross Level Frequent Pattern Mining in Multidatasets
Jan 2012
Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth, which were typically...
Provided by International Journal of Computer Applications
-
Whitepapers
An Inventory Replenishment Model Under Purchase Dependency in Retail Sale
Jan 2012
In multi-item inventory with very large number of items in retail sale stores, purchase dependency in demand amongst the items can be described by association rules mined from sale transaction...
Provided by International Journal of Computer Applications
-
Whitepapers
Survey on Recent Developments in Privacy Preserving Models
Jan 2012
Privacy preserving in data mining is one of the major and increasingly interested area of research under data security. Privacy will be provided for data at different levels such as, while...
Provided by International Journal of Computer Applications
-
Whitepapers
An Experimental Study of Pattern Mining Technique to Improve the Business Strategy
Nov 2011
Pragmatism of pattern mining system is to study the data and determines a model that is closets to characteristics of the data being examine. This necessitates identifying interesting association...
Provided by International Journal of Computer Applications
-
Whitepapers
Comparison of Parameter Free MST Clustering Algorithm with Hierarchical Agglomerative Clustering Algorithms
Nov 2011
Clustering is a splitting up of data into groups of similar objects called clusters. The objects in a cluster are similar between themselves and dissimilar compared to objects of other clusters....
Provided by International Journal of Computer Applications
-
Whitepapers
A Genetic-Fuzzy Algorithm to Discover Fuzzy Classification Rules for Mixed Attributes Datasets
Nov 2011
Genetic Algorithms, being global search method, have been extensively applied for discovery of automated classification rules. Fuzzy Logic was integrated with genetic algorithms for discovery of...
Provided by International Journal of Computer Applications
-
Whitepapers
Adapted Extremal OptimizationFor Materialized Views Selection
Nov 2011
With the development of databases in general and data warehouses in particular, it is now of a great importance to reduce the administration tasks of data warehouses. The materialization of views...
Provided by International Journal of Computer Applications
-
Whitepapers
An Effective Evolutionary Clustering Algorithm:Hepatitis C Case Study
Nov 2011
Clustering analysis plays an important role in scientific research and commercial application. K-means algorithm is a widely used partition method in clustering. However, it is known that the...
Provided by International Journal of Computer Applications
-
Whitepapers
Stream Data Mining and Anomaly Detection
Nov 2011
Detecting anomaly behaviors is one of the most challenging tasks for Information Systems (IS) administrators. The anomaly behavior is defined as any behavior from either inside or outside of the...
Provided by International Journal of Computer Applications
-
Whitepapers
Sensitive Outlier Protection in Privacy Preserving Data Mining
Nov 2011
Data mining is the extraction of hidden predictive information from large databases and also a powerful new technology with great potential to analyze important information in their data...
Provided by International Journal of Computer Applications
-
Whitepapers
An Efficient Algorithm for Classification Rule Hiding
Nov 2011
Data mining is the extraction of the hidden information from large databases. It is a powerful technology with new great potential to analyze important information in the data warehouse....
Provided by International Journal of Computer Applications
-
Whitepapers
KDSSF: A Graph Modeling Approach
Nov 2011
In recent years, data mining applications have been found quite extendible in the area of social science like mass communication and religion studies. In traditional approach used for such work,...
Provided by International Journal of Computer Applications
-
Whitepapers
Similarity Measures of Research Papers and Patents Using Adaptive and Parameter Free Threshold
Jan 2011
Patents and Research papers are published in various fields. These are stored in various conferences and journals database. If a user (researcher or any general user) want to search for any patent...
Provided by International Journal of Computer Applications
-
Whitepapers
Protecting Sensitive Association Rules in Privacy Preserving Data Mining Using Genetic Algorithms
Nov 2011
Privacy and security risks taken place from the application of different data mining techniques to great organizational data storehouses have been exclusively inspected by a new research domain,...
Provided by International Journal of Computer Applications
-
Whitepapers
Enhancing Traditional Text Documents Clustering Based on Ontology
Nov 2011
Ontologies currently are a hot topic in the areas of Semantic Web. The current clustering research emphasizes the development of a more efficient clustering method and mainly focuses on term...
Provided by International Journal of Computer Applications
-
Whitepapers
Extraction of Contextual Relevance of Web Documents
Jan 2013
The crawled web pages should be organized in a fashion where they are more understandable to machine, for producing the results which are meaningful and relevant. The set of web pages can be...
Provided by International Journal of Computer Applications
-
Whitepapers
Exponentiated Gumbel Model for Software Reliability Data Analysis using MCMC Simulation Method
Jan 2013
In this paper, the Markov Chain Monte Carlo (MCMC) method has been used to estimate the parameters of Exponentiated Gumbel(EG) model based on a complete sample. A procedure is developed to obtain...
Provided by International Journal of Computer Applications
-
Whitepapers
Web Information Extraction: Tag Density and Keyword Approach
Jan 2013
Web page consists of lots of noise in the form of advertisements, irrelevant information, copyrights information and menus. To extract the information from web, the authors use the two concepts,...
Provided by International Journal of Computer Applications
-
Whitepapers
KNN Technique for Analysis and Prediction of Temperature and Humidity Data
Jan 2013
The paper investigates the data mining technique K-nearest neighbor resulting in a predictor for numerical series. The series experimented with come from the climatic data usually hard to forecast...
Provided by International Journal of Computer Applications
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White Papers
K-Cave Demonstration: Seismic Information Visualization System Using the OpenCABIN Library
Dec 2008
The K-Cave is a CAVE-clone VR display system at the Keio University. It consists of 3 screens, 6 projectors, 3 rendering PCs and a control PC. Binocular parallax is achieved by circular...
Provided by University of Tsukuba
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White Papers
Process and Pitfalls in Writing Information Visualization Research Papers
Jan 2008
The goal of this paper is to help authors recognize and avoid a set of pitfalls that recur in many rejected information visualization papers, using a chronological model of the research process....
Provided by University of British Columbia
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White Papers
Spatial Data Visualization by Usage of Chosen Free of Charge Tools for Creation of Composite Web Map Applications
Jan 2009
The web applications enabling dynamic visualization of spatial data and interactive user interface are a part of today's fast development of web applications. Many modern web map applications...
Provided by VSB-TU Ostrava
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White Papers
Project Catapult: Data System for Evaluation and Visualization of Relationships Between Technologies
Jul 2009
The NIH Office of Technology Transfer (OTT) evaluates, protects, markets, licenses, monitors, and manages the wide range of NIH and Food and Drug Administration (FDA) inventions. The sheer volume...
Provided by Thomson Reuters
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White Papers
Visualizing Gene Expression Data Via Voronoi Treemaps
May 2009
With modern molecular biological techniques which use up to several million probes as well as high throughput protein detection, it has become quite easy to gather massive amounts of genomic and...
Provided by University of Greifswald
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White Papers
Visualizing Past Personal Data Disclosures
Nov 2009
Off late rich service offer in the World Wide Web increasingly requires the disclosure of personal user data. Service providers' appetite for personal user data, however, is accompanied by growing...
Provided by Universitat Regensburg
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White Papers
Streamlining Data Exploration and Visualization in Climate Science
Mar 2009
The amount of data generated by global atmospheric and oceanic models is enormous. To help climate researchers make sense of all this data, the author is working together with the Earth System...
Provided by U.S. Department of Energy
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White Papers
On Interactive Visualization of High-Dimensional Data Using the Hyperbolic Plane
Jan 2010
This paper proposes a novel projection based visualization method for high-dimensional datasets by combining concepts from MDS and the geometry of the hyperbolic spates. The approach Hyperbolic...
Provided by Association for Computing Machinery
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White Papers
Visualization of Polygon-Based Data as a Continuous Surface
Dec 2008
Most information for spatial analysis and research in economic and social geography is aggregated into totals associated with units which are polygons. To facilitate comparisons between the units...
Provided by BBR
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White Papers
Integrating Statistics and Visualization: Case Studies of Gaining Clarity During Exploratory Data Analysis
Apr 2008
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. The paper proposes that a tight integration of these...
Provided by Association for Computing Machinery
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White Papers
Visualizing Diffusion Tensor Imaging Data With Merging Ellipsoids
Aug 2009
Diffusion tensor fields reveal the underlying anatomical structures in biological tissues such as neural fibers in the brain. Most current methods for visualizing the diffusion tensor field can be...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Visualizing Multidimensional Data Through Granularity-Dependent Spatialization
Oct 2009
Spatialization is a special kind of visualization that projects multidimensional data into low-dimensional representational spaces by making use of spatial metaphors. Spatialization methods face a...
Provided by National Technical University of Athens
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White Papers
Multimodal Visualization of DTI and FMRI Data Using Illustrative Methods
Apr 2009
Designing multimodal visualizations combining anatomical and functional brain data is a demanding task. Jainek et al. applied illustrative rendering techniques to obtain a high-quality...
Provided by University of California
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White Papers
Predictor-Corrector Schemes for Visualization of Smoothed Particle Hydrodynamics Data
Nov 2009
This paper presents a method for vortex core line extraction which operates directly on the Smoothed Particle Hydrodynamics (SPH) representation and, by this, generates smoother and more...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
VizSchema - Visualization Interface for Scientific Data
Apr 2009
Different scientific applications use many different formats to store their data. Even if common, self-described data formats, such as HDF5 or NetCDF, are used, data organization (e.g. the...
Provided by Tech-X
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White Papers
Relationship-Based Clustering and Visualization for High-Dimensional Data Mining
Nov 2007
In several real-life data-mining applications, data reside in very high (1000 or more) dimensional space, where both clustering techniques developed for low-dimensional spaces (k-means, BIRCH,...
Provided by INFORMS
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White Papers
Visualizing Data in Criminal Justice
Mar 2010
For the most part, the methods were developed early in the last century, when collecting data was an expensive proposition. For this reason, to reduce the cost of data collection many of the...
Provided by Ohio State University
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White Papers
Visualizing Data Structures in Parsing-Based Machine Translation
Jan 2010
As Machine Translation (MT) systems grow more complex and incorporate more linguistic knowledge, it becomes more difficult to evaluate independent pieces of the MT pipeline. Being able to inspect...
Provided by John Hopkins University
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White Papers
SellTrend: Inter-Attribute Visual Analysis of Temporal Transaction Data
Jul 2009
This paper presents a case study of the experience designing SellTrend, a visualization system for analyzing airline travel purchase requests. The relevant transaction data can be characterized as...
Provided by Institute of Electrical and Electronics Engineers
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White Papers
Multidimensional Visualization Tools for Analysis of Expression Data
Aug 2009
Expression data analysis is based mostly on the statistical approaches that are indispensable for the study of biological systems. Large amounts of multidimensional data resulting from the...
Provided by Louisiana State University
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White Papers
An Approach to Visualization of Large Data Sets From LIDAR
Mar 2009
Rapid development of laser scanning technology in past decades has resulted in a wide area of its applications. LIDAR is a system that uses this technology to gather information about distant...
Provided by University of Maribor
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White Papers
Flexible Multi-Dimensional Visualization of Process Enactment Data
Jul 2009
The management of development processes is a challenging task and needs adequate tool support. In the course of a development project, many different engineering and management processes are...
Provided by RWTH Aachen University
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White Papers
Management and Visualization of Interdisciplinary Research Data With ArcGIS Server
Jun 2009
Centralized data storage and data exchange is a key issue in many interdisciplinary research projects that focus on environmental field studies and regional modelling on various scales....
Provided by University of Cologne
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White Papers
Visualization of Differences in Data Measuring Mathematical Skills
Jan 2010
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactively explore and...
Provided by University of Ostrava
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White Papers
Detection of Anomalous Data Using Data Visualization Techniques
May 2009
One of the most pressing problems in enforcing security in a network is the identification of suspicious nodes and messages in a network. A node's suspicion factor cannot be measured based on the...
Provided by Academy Publisher
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White Papers
DATAPLAY: Mapping Game Mechanics to Traditional Data Visualization
Oct 2009
Since Playfair, many different forms of media have arisen beyond ink and paper. Yet printed charts (or their digital representations) remain, by far, the most commonly used tools of data...
Provided by Digital Games Research Association (DiGRA)
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White Papers
Visualizing Data Mining Results With the Brede Tools
Jul 2009
A few neuroinformatics databases now exist that record results from neuroimaging studies in the form of brain coordinates in stereotaxic space. The Brede Toolbox was originally developed to...
Provided by Frontiers Media
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White Papers
Analysis, Understanding and Visualization of Hyperspectral Data as Convex Sets in n-Space
May 2009
Convex and affine geometry in n-dimensions provide powerful tools for the analysis, understanding and visualization of hyperspectral data. The ubiquitous mixed pixel problem can be exploited as an...
Provided by University of Colorado
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White Papers
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Feb 2010
Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining approaches or just for browsing...
Provided by Indiana University
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White Papers
Visualization of Computer Architecture Simulation Data for System-Level Design Space Exploration
May 2009
System-level computer architecture simulations create large volumes of simulation data to explore alternative architectural solutions. Interpreting and drawing conclusions from this amount of...
Provided by University of Amsterdam
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White Papers
Temporal Data Visualizations for Air Traffic Controllers (ATC)
Apr 2009
Fundamental research in visualization is concerned with the impact of presentation on visual perception and understanding. In current Air Traffic Control (ATC) environments, Air Traffic...
Provided by Association for Computing Machinery
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White Papers
Aluminum Alloy Sensitization Data Visualization and Analysis
Jul 2009
Aluminum alloys with magnesium content greater than three weight percent, such as the 5xxx alloy family, are susceptible to a process called sensitization when exposed to temperatures in excess of...
Provided by Vision Point Systems
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White Papers
Research of Data Visualization in Near-Infrared Spectroscopy
Nov 2009
The spectroscopy data visualization software is developed to display the blood glucose data collected by near-infrared spectroscopy spectrometer using object-oriented programming techniques. The...
Provided by Academy Publisher
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White Papers
Dynamic AUV Mission and Data Visualization With Google Earth
Jan 2009
AUVs are currently being used for doing scientific observations of deep ocean water where it is difficult for humans to reach. As these vehicles are autonomous and moving underwater, it is...
Provided by Universitat de Girona
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White Papers
Creative Data: Visualisation, Augmentation, Telepresence and Immersion
Oct 2009
Data has long been the property and domain of screen-based collection, archiving, processing and interaction. The emergence of new processes, functionality and ways of interacting with information...
Provided by International Society for the Arts, Sciences and Technology
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White Papers
Visualization of Earth Science Data Using Google Earth
Oct 2009
With Google Earth being widely used by the general public and professionals, Virtual Globes are revolutionizing the way in which scientists conduct their research and the general public uses...
Provided by George Mason University
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White Papers
Numbers as Pictures: Examples of Data Visualization From the Business Employment Dynamics Program
Oct 2009
The Bureau of Labor Statistics presents a wealth of information to the general public. Much of this information is published in the form of tables and simple charts; however recent research has...
Provided by U.S. Bureau of Labor Statistics
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White Papers
The Turnip: Visualizing Statistical Data Cleaning
Dec 2008
Databases with measured or humanly entered data can be full of erroneous data that regular statistical methods are created around, but solutions can be time consuming and the data can be difficult...
Provided by University of California
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White Papers
A Review and Comparison of Data Visualization Techniques in Building Design and in Building Simulation
Jul 2009
This paper will present a review, for a range of building design and performance issues, of the visualization language used in building design and in building simulation, and identify the overlaps...
Provided by Cardiff University
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White Papers
Visualization Issues of Mass Data for Efficient HMI Design on Control System in Electric Power Industry: Isualization in Computerized Operation & Simulation Tools
Nov 2009
This paper deals with the visualization issues of computerized operation and simulation programs. Visualization started to attract public attention since the application of graphic user interface...
Provided by Hongik University
-
Whitepapers
Implementation of WAP Through an Innovative and Efficient Technique
Dec 2011
Web Access Pattern (WAP) tree mining is finding of sequence pattern from web access log. It has gained importance in view of increasing usage of World Wide Web. Access to web pages generates...
Provided by International Journal of Computer Applications
-
Whitepapers
A Survey on Data Mining Approaches
Dec 2011
In the new world, with advances in modern industries and businesses and increase in the growing need for data with reference to the knowledge of data processing in order to participate in a big...
Provided by International Journal of Computer Applications
-
Whitepapers
An Approach to Automation Selection of Decision Tree Based on Training Data Set
Feb 2013
In Data mining applications, very large training data sets with several million records are common. Decision trees are very much powerful and excellent technique for both classification and...
Provided by International Journal of Computer Applications
-
Whitepapers
Data Mining in Teacher Evaluation System Using WEKA
Feb 2013
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales,...
Provided by University of Tasmania
-
Whitepapers
Recent Trends in Computational Prediction of Renal Transplantation Outcomes
Feb 2013
Renal transplantation has become the treatment of choice for most patients with end-stage renal disease. Recent advances in renal transplantation notably, the matching of Major Histocompatibility...
Provided by University of Kentucky's VisCenter
-
Whitepapers
Procedural Steps for Knowledge Mining in Time Series
Feb 2013
Symbolic intervals which form temporal patterns are usually formulated through Allen's interval relations that originate in temporal reasoning. But this representation is not advantages for...
Provided by International Journal of Computer Applications
-
Whitepapers
Clustering for High Dimensional Data: Density Based Subspace Clustering Algorithms
Feb 2013
Finding clusters in high dimensional data is a challenging task as the high dimensional data comprises hundreds of attributes. Subspace clustering is an evolving methodology which, instead of...
Provided by International Journal of Computer Applications
-
Whitepapers
Detection of Linkage Patterns Repeating Across Multiple Sequential Data
Feb 2013
Sequential data mining is a technology for acquiring useful information and patterns from large quantities of sequential data. Research into industrial and commercial applications of sequential...
Provided by International Journal of Computer Applications
-
Whitepapers
Study and Analysis of Predictive Data Mining Approaches for Clinical Dataset
Feb 2013
Data Mining is an assortment of effective tool set to perform the statistical analysis on an immense dataset and to retrieve the valuable information from the dataset. In this paper, the authors...
Provided by Maharshi Dayanand University, Rohtak
-
Whitepapers
Pattern Mining Method for Hospital Facility Review Using Optimized Nonlinear Mathematical Model
Feb 2013
The development of discovering appealing, valuable and important patterns from large spatial datasets is stated as spatial data mining. From the preceding hospital location analyses technique, the...
Provided by International Journal of Computer Applications
-
Whitepapers
A Novel Algorithm for Cross Level Frequent Pattern Mining in Multidatasets
Jan 2012
Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth, which were typically...
Provided by International Journal of Computer Applications
-
Whitepapers
An Inventory Replenishment Model Under Purchase Dependency in Retail Sale
Jan 2012
In multi-item inventory with very large number of items in retail sale stores, purchase dependency in demand amongst the items can be described by association rules mined from sale transaction...
Provided by International Journal of Computer Applications
-
Whitepapers
Survey on Recent Developments in Privacy Preserving Models
Jan 2012
Privacy preserving in data mining is one of the major and increasingly interested area of research under data security. Privacy will be provided for data at different levels such as, while...
Provided by International Journal of Computer Applications
-
Whitepapers
An Experimental Study of Pattern Mining Technique to Improve the Business Strategy
Nov 2011
Pragmatism of pattern mining system is to study the data and determines a model that is closets to characteristics of the data being examine. This necessitates identifying interesting association...
Provided by International Journal of Computer Applications
-
Whitepapers
Comparison of Parameter Free MST Clustering Algorithm with Hierarchical Agglomerative Clustering Algorithms
Nov 2011
Clustering is a splitting up of data into groups of similar objects called clusters. The objects in a cluster are similar between themselves and dissimilar compared to objects of other clusters....
Provided by International Journal of Computer Applications
-
Whitepapers
A Genetic-Fuzzy Algorithm to Discover Fuzzy Classification Rules for Mixed Attributes Datasets
Nov 2011
Genetic Algorithms, being global search method, have been extensively applied for discovery of automated classification rules. Fuzzy Logic was integrated with genetic algorithms for discovery of...
Provided by International Journal of Computer Applications
-
Whitepapers
Adapted Extremal OptimizationFor Materialized Views Selection
Nov 2011
With the development of databases in general and data warehouses in particular, it is now of a great importance to reduce the administration tasks of data warehouses. The materialization of views...
Provided by International Journal of Computer Applications
-
Whitepapers
An Effective Evolutionary Clustering Algorithm:Hepatitis C Case Study
Nov 2011
Clustering analysis plays an important role in scientific research and commercial application. K-means algorithm is a widely used partition method in clustering. However, it is known that the...
Provided by International Journal of Computer Applications
-
Whitepapers
Stream Data Mining and Anomaly Detection
Nov 2011
Detecting anomaly behaviors is one of the most challenging tasks for Information Systems (IS) administrators. The anomaly behavior is defined as any behavior from either inside or outside of the...
Provided by International Journal of Computer Applications
-
Whitepapers
Sensitive Outlier Protection in Privacy Preserving Data Mining
Nov 2011
Data mining is the extraction of hidden predictive information from large databases and also a powerful new technology with great potential to analyze important information in their data...
Provided by International Journal of Computer Applications
-
Whitepapers
An Efficient Algorithm for Classification Rule Hiding
Nov 2011
Data mining is the extraction of the hidden information from large databases. It is a powerful technology with new great potential to analyze important information in the data warehouse....
Provided by International Journal of Computer Applications
-
Whitepapers
KDSSF: A Graph Modeling Approach
Nov 2011
In recent years, data mining applications have been found quite extendible in the area of social science like mass communication and religion studies. In traditional approach used for such work,...
Provided by International Journal of Computer Applications
-
Whitepapers
Similarity Measures of Research Papers and Patents Using Adaptive and Parameter Free Threshold
Jan 2011
Patents and Research papers are published in various fields. These are stored in various conferences and journals database. If a user (researcher or any general user) want to search for any patent...
Provided by International Journal of Computer Applications
-
Whitepapers
Protecting Sensitive Association Rules in Privacy Preserving Data Mining Using Genetic Algorithms
Nov 2011
Privacy and security risks taken place from the application of different data mining techniques to great organizational data storehouses have been exclusively inspected by a new research domain,...
Provided by International Journal of Computer Applications
-
Whitepapers
Enhancing Traditional Text Documents Clustering Based on Ontology
Nov 2011
Ontologies currently are a hot topic in the areas of Semantic Web. The current clustering research emphasizes the development of a more efficient clustering method and mainly focuses on term...
Provided by International Journal of Computer Applications
-
Whitepapers
Extraction of Contextual Relevance of Web Documents
Jan 2013
The crawled web pages should be organized in a fashion where they are more understandable to machine, for producing the results which are meaningful and relevant. The set of web pages can be...
Provided by International Journal of Computer Applications
-
Whitepapers
Exponentiated Gumbel Model for Software Reliability Data Analysis using MCMC Simulation Method
Jan 2013
In this paper, the Markov Chain Monte Carlo (MCMC) method has been used to estimate the parameters of Exponentiated Gumbel(EG) model based on a complete sample. A procedure is developed to obtain...
Provided by International Journal of Computer Applications
-
Whitepapers
Web Information Extraction: Tag Density and Keyword Approach
Jan 2013
Web page consists of lots of noise in the form of advertisements, irrelevant information, copyrights information and menus. To extract the information from web, the authors use the two concepts,...
Provided by International Journal of Computer Applications
-
Whitepapers
KNN Technique for Analysis and Prediction of Temperature and Humidity Data
Jan 2013
The paper investigates the data mining technique K-nearest neighbor resulting in a predictor for numerical series. The series experimented with come from the climatic data usually hard to forecast...
Provided by International Journal of Computer Applications
-
Whitepapers
A Survey of Spatial, Temporal and Spatio-Temporal Data Mining
Dec 2008
Spatio-temporal data sets are often very large and difficult to analyze and display. Since they are fundamental for decision support in many application contexts, recently a lot of interest has...
Provided by JCAKSRCE
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Whitepapers
A Proposed Method to Solve the Drawbacks of Association Rule in E-Learning
Jun 2010
Data mining techniques have been successfully applied in many different fields including marketing, manufacturing, process control, fraud detection, network management and counter-terrorism. With...
Provided by JCAKSRCE
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Whitepapers
Rule Generation Based on Reduct and Core: A Rough Set Approach
Sep 2011
Rough set theory has evolved as one of the most important technique used for feature selection as a result of contemporary developments in data mining. One of the cardinal uses of Rough set theory...
Provided by International Journal of Computer Applications
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Whitepapers
BiCross : A Biclustering Technique for Gene Expression Data Using One Layer Fixed Weighted Bipartite Graph Crossing Minimization
Sep 2011
Biclustering has become an important data mining technique for microarray gene expression analysis and profiling, as it provides a local view of the hidden relationships in data, unlike a global...
Provided by International Journal of Computer Applications
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Whitepapers
DWH-Performance Tuning for Better Reporting
Oct 2011
The concept of data warehouse deals in huge amount of data and lot of analytically queries runs on DWH, which covers base data in terms of thousands of gigabytes, to unveil the hidden pattern of...
Provided by International Journal of Computer Applications
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Whitepapers
An Efficient Clustering Algorithm for Outlier Detection
Oct 2011
With the help of data mining, an important and valuable knowledge is extracted from the large massive collection of data. There are several techniques and algorithms are used for extracting the...
Provided by International Journal of Computer Applications
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Whitepapers
A Novel Framework and Model for Data Warehouse Cleansing
Oct 2011
Data cleansing is a process that deals with identification of corrupt and duplicate data inherent in the data sets of a data warehouse to enhance the quality of data. This paper aims to facilitate...
Provided by International Journal of Computer Applications
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Whitepapers
Query Processing in Distributed Data Warehouse Using Scheduling Algorithms
Nov 2012
Data warehouse is a centralized repository for analyzing and storing huge amount of data. In distributed data warehouse, data can be shared across multiple data repositories which belong to one or...
Provided by International Journal of Computer Applications
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Whitepapers
Statistically Analyzing the Impact of Automated ETL Testing on the Data Quality of a Data Warehouse
Oct 2009
For truthful reporting and decision-making a major challenge in data warehouse industry is to ensure quality data. The Extraction, Transformation and Loading (ETL) module is crucial to attain high...
Provided by Punjab Technical University
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Whitepapers
Adaptive Business Intelligence Model for Cross Functional Integration for Manufacturing Industry
Feb 2013
As international competition intensifies, more and more organizations are finding themselves under the mounting pressure to improve productivity and marketing strategy. Decision making is...
Provided by International Journal of Computer Applications
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Whitepapers
A Least Squares Temporal Difference Actor-Critic Algorithm With Applications to Warehouse Management
Jan 2012
This paper develops a new approximate dynamic programming algorithm for Markov decision problems and applies it to a vehicle dispatching problem arising in warehouse management. The algorithm is...
Provided by Boston University
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