Encyclopedia of Data Warehousing and Mining, Second Edition

Wang, John

IGI Global, Aug 31, 2008 - Computers - 2542 pages

There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest.

The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

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Contiene una forma de medir la forma sumar las distancias, la combinacion de kmeans con el kmode

Contents

• Active Learning with Multiple Views: 6
• Adaptive Web Presence and Evolution through Web Log Analysis: 12
• Aligning the Warehouse and the Web: 18
• Analytical Competition for Managing Customer Relations: 25
• Analytical Knowledge Warehousing for Business Intelligence: 31
• Anomaly Detection for Inferring Social Structure: 39
• The Application of DataMining to Recommender Systems: 45
• Applications of Kernel Methods: 51
• Architecture for Symbolic Object Warehouse: 58
• Association Bundle Identification: 66
• Association Rule Hiding Methods: 71
• Association Rule Mining: 76
• On Association Rule Mining for the QSAR Problem: 83
• Association Rule Mining of Relational Data: 87
• Association Rules and Statistics: 94
• Audio and Speech Processing for Data Mining: 98
• Audio Indexing: 104
• An Automatic Data Warehouse Conceptual Design Approach: 110
• Automatic GenreSpecific Text Classification: 120
• Automatic Music Timbre Indexing: 128
• A Bayesian Based Machine Learning Application to Task Analysis: 133
• Behavioral PatternBased Customer Segmentation: 140
• Best Practices in Data Warehousing: 146
• Bibliomining for Library DecisionMaking: 153
• Bioinformatics and Computational Biology: 160
• Biological Image Analysis via Matrix Approximation: 166
• Bitmap Join Indexes vs Data Partitioning: 171
• Bridging Taxonomic Semantics to Accurate Hierarchical Classification: 178
• A Case Study of a Data Warehouse in the Finnish Police: 183
• Classification and Regression Trees: 192
• Classification Methods: 196
• Classification of Graph Structures: 202
• Classifying TwoClass Chinese Texts in Two Steps: 208
• Cluster Analysis for Outlier Detection: 214
• Cluster Analysis in Fitting Mixtures of Curves: 219
• Cluster Analysis with General Latent Class Model: 225
• Cluster Validation: 231
• Clustering Analysis of Data with High Dimensionality: 237
• Clustering Categorical Data with kModes: 246
• Clustering Data in PeertoPeer Systems: 251
• Clustering of Time Series Data: 258
• On Clustering Techniques: 264
• Comparing FourSelected Data Mining Software: 269
• CompressionBased Data Mining: 278
• Computation of OLAP Data Cubes: 286
• Conceptual Modeling for Data Warehouse and OLAP Applications: 293
• Constrained Data Mining: 301
• ConstraintBased Association Rule Mining: 307
• ConstraintBased Pattern Discovery: 313
• ContextDriven Decision Mining: 320
• ContextSensitive Attribute Evaluation: 328
• ControlBased Database Tuning Under Dynamic Workloads: 333
• CostSensitive Learning: 339
• Count Models for Software Quality Estimation: 346
• Data Analysis for Oil Production Prediction: 353
• Data Confidentiality and ChaseBased Knowledge Discovery: 361
• A Theoretical Review: 367
• A Data Distribution View of Clustering Algorithms: 374
• Data Driven vs Metric Driven Data Warehouse Design: 382
• Data Mining and Privacy: 388
• Data Mining and the Text Categorization Framework: 394
• Data Mining Applications in Steel Industry: 400
• Data Mining Applications in the Hospitality Industry: 406
• Data Mining for Fraud Detection System: 411
• Data Mining for Improving Manufacturing Processes: 417
• Data Mining for Internationalization: 424
• Data Mining for Lifetime Value Estimation: 431
• Data Mining for Model Identification: 438
• Data Mining for Obtaining Secure EMail Communications: 445
• Data Mining for Structural Health Monitoring: 450
• Data Mining for the Chemical Process Industry: 458
• Data Mining in Genome Wide Association Studies: 465
• Data Mining in Protein Identification by Tandem Mass Spectrometry: 472
• Data Mining in Security Applications: 479
• Data Mining in the Telecommunications Industry: 486
• Data Mining Lessons Learned in the Federal Government: 492
• A Data Mining Methodology for Product Family Design: 497
• Data Mining on XML Data: 506
• Data Mining Tool Selection: 511
• Data Mining with Cubegrades: 519
• Data Mining with Incomplete Data: 526
• Data Pattern Tutor for AprioriAll and PrefixSpan: 531
• Data Preparation for Data Mining: 538

About the author

John Wang is a professor in the Department of Information & Operations Management at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programs based on his research findings.

He is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Operations Research and Information Systems, and International Journal of Information Systems and Supply Chain Management. He is the Editor of Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics. [Editor]

Bibliographic information

• Title: Encyclopedia of Data Warehousing and Mining, Second Edition
• Editor: Wang, John
• Edition: illustrated
• Publisher: IGI Global, 2008
• ISBN: 1605660116, 9781605660110
• Length: 2542 pages
• Subjects: Business & Economics / Management; Computers / Databases / General; Computers / Information Technology