Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications

封面
Wang, John
IGI Global, 2008年5月31日 - 4092 頁

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications provides the most comprehensive compilation of research available in this emerging and increasingly important field. This six-volume set offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing.

With more than 225 chapters contributed by over 500 experts from 37 countries, this authoritative collection will provide libraries with the essential reference on data mining and warehousing. Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications is a must-have publication for every library.

 

內容

Chapter 420 A Data Mining Driven Approach for Web Classification and Filtering Based on Multimodal Content Analysis
1958
Chapter 421 Acquiring Semantic Sibling Associations from Web Documents
1987
Chapter 422 Traversal Pattern Mining in Web Usage Data
2004
Chapter 423 Facilitating and Improving the Use of Web Services with Data Mining
2022
Chapter 424 EMail Worm Detection Using Data Mining
2036
Chapter 425 UserCentered Interactive Data Mining
2051
Applications to Astronomy and Genetics
2067
Chapter 427 Using Data Mining for Forecasting Data Management Needs
2088

An Overview
64
Online Data Mining
75
A Look Back at the PAKDD Data Mining Competition 2006
84
Introduction to Data Mining in Bioinformatics
93
Algorithmic Aspects of Protein Threading
103
A Tutorial on Hierarchical Classification with Applications in Bioinformatics
119
Introduction to Data Mining and its Applications to Manufacturing
146
Data Warehousing and OLAP
169
Data Warehousing MultiDimensional Data Models and OLAP
179
A Literature Overview of Fuzzy Database Modeling
187
Conceptual Modeling Solutions for the Data Warehouse
208
Pattern Comparison in Data Mining A Survey
228
Pattern Mining and Clustering on Image Databases
254
Conceptual Data Modeling Patterns Representation and Validation
280
Mining Association Rules in Data Warehouses
303
Exception Rules in Data Mining
336
ProcessBased Data Mining
343
Integration of Data Sources through Data Mining
350
Ensemble Data Mining Methods
356
Evaluation of Data Mining Methods
364
Discovering an Effective Measure in Data Mining
371
Data Warehousing and Data Mining Lessons and EC Companies
381
Best Practices in Data Warehousing from the Federal Perspective
389
Decision Support and Data Warehousing Challenges of a Global Information Environment
397
An Experimental Replication with Data Warehouse Metrics
408
Data Warehousing Solutions for Reporting Problems
429
Development and Design Methodologies
437
A MultiAgent Approach to Collaborative Knowledge Production
438
A Framework for Organizational Data Analysis and Organizational Data Mining
449
RuleBased Parsing for Web Data Extraction
469
Conceptual and Systematic Design Approach for XML Document Warehouses
485
A Framework for Efficient Association Rule Mining in XML Data
509
A Methodology for Building XML Data Warehouses
530
Applying UML for Modeling the Physical Design of Data Warehouses
556
Physical Modeling of Data Warehouses Using UML Component and Deployment Diagrams Design and Implementation Issues
591
GeoCache A Cache for GML Geographical Data
622
A Java Technology Based Distributed Software Architecture for Web Usage Mining
642
Spatial Data Warehouse Modelling
659
Designing Secure Data Warehouses
679
PrivacyPreserving Data Mining Developments and Directions
693
A Service Discovery Model for Mobile AgentBased Distributed Data Mining
705
Node Partitioned Data Warehouses Experimental Evidence and Improvements
718
Managing Late Measurements in Data Warehouses
738
Toward a GridBased ZeroLatency Data Warehousing Implementation for Continuous Data Streams Processing
755
Data Warehouse Design to Support Customer Relationship Management Analyses
787
An InformationTheoretic Framework for Process Structure and Data Mining
810
DomainDriven Data Mining A Practical Methodology
831
Metric Methods in Data Mining
849
Mining GeoReferenced Databases A Way to Improve DecisionMaking
880
OntologyBased Construction of Grid Data Mining Workflows
913
Exploratory Time Series Data Mining by Genetic Clustering
942
Two Rough Set Approaches to Mining Hop Extraction Data
963
SemanticsAware Advanced OLAP Visualization of Multidimensional Data Cubes
974
A Presentation Model and NonTraditional Visualization for OLAP
1004
An OntologyBased Data Mediation Framework for Semantic Environments
1037
Engineering Conceptual Data Models from Domain Ontologies A Critical Evaluation
1068
Data Mining of Bayesian Network Structure Using a Semantic Genetic AlgorithmBased Approach
1081
A Bayesian Framework for Improving Clusterng Accuracy of Protein Sequences Based on Association Rules
1091
Improving Classification Accuracy of Decision Trees for Different Abstraction Levels of Data
1103
Improving Similarity Search in Time Series Using Wavelets
1116
ClusterBased Input Selection for Transparent Fuzzy Modeling
1138
Combinatorial Fusion Analysis Methods and Practices of Combining Multiple Scoring Systems
1157
Databases Modeling of Engineering Information
1182
Novel Efficient Classifiers Based on Data Cube
1205
Partially Supervised Classification Based on Weighted Unlabeled Samples Support Vector Machine
1216
Periodic Streaming Data Reduction Using Flexible Adjustment of Time Section Size
1231
Hybrid Query and Data Ordering for Fast and Progressive RangeAggregate Query Answering
1250
Linguistic Rule Extraction from Support Vector Machine Classifiers
1269
PreferenceBased Frequent Pattern Mining
1280
Tools and Technologies
1300
Algorithms for Data Mining
1301
Super Computer Heterogeneous Classifier MetaEnsembles
1320
Navigation Rules for Exploring Large Multidimensional Data Cubes
1334
Use of Smart Tokens in Cleaning Integrated Warehouse Data
1355
An Implemented Representation and Reasoning System for Creating and Exploiting Large Knowledge Bases of Narrative Information
1376
SpatioTemporal Prediction Using Data Mining Tools
1400
Data Mining Using Qualitative Information on the Web
1416
Computational Intelligence Techniques Driven Intelligent Agents for Web Data Mining and Information Retrieval
1435
Internet Data Mining Using Statistical Techniques
1446
Mining EMail Data
1454
Exploiting Captions for Web Data Mining
1461
AgentMediated Knowledge Acquisition for User Profiling
1486
Mobile User Data Mining and its Applications
1502
Mobile Phone Customer Type Discrimination via Stochastic Gradient Boosting
1519
Intelligent Cache Management for Mobile Data Warehouse Systems
1539
VRMiner A Tool for Multimedia Database Mining with Virtual Reality
1557
Spatial Navigation Assistance System for Large Virtual Environments The Data Mining Approach
1573
Bitmap Indices for Data Warehouses
1590
Indexing in Data Warehouses Bitmaps and Beyond
1606
Visualization Techniques for Data Mining
1623
Chapter 321 Video Data Mining
1631
Interactive Visual Data Mining
1638
Data Mining in Gene Expression Data Analysis A Survey
1643
A Haplotype Analysis System for Genes Discovery of Common Diseases
1674
Utilization and Application
1688
Strategic Utilization of Data Mining
1689
Biological Data Mining
1696
Biomedical Data Mining Using RBF Neural Networks
1706
Bioinformatics Data Management and Data Mining
1714
Deterministic Motif Mining in Protein Databases
1722
Differential Association Rules Understanding Annotations in Protein Interaction Networks
1747
Data Mining and Knowledge Discovery in Metabolomics
1759
Comparative Genome Annotation Systems
1784
The Application of Data Mining Techniques in Health Plan Population Management A Disease Management Approach
1799
Data Mining Medical Digital Libraries
1810
Chapter 411 Data Mining in Diabetes Diagnosis and Detection
1817
Concepts
1825
Implementation
1840
Challenges of Data Mining for Credit Scoring
1855
Chapter 415 A TOPSIS Data Mining Demonstration and Application to Credit Scoring
1877
Chapter 416 The Utilization of Business Intelligence and Data Mining in the Insurance Marketplace
1888
Chapter 417 OntologyBased Data Warehousing and Mining Approaches in Petroleum Industries
1901
Overlap and Distance of the Search Engine Results
1926
Chapter 419 Data Mining in Web Services Discovery and Monitoring
1938
Chapter 428 Visual Data Mining for Discovering Association Rules
2105
Chapter 429 Generalization Data Mining in Fuzzy ObjectOriented Databases
2121
Extracting Fuzzy Rules from Numerical Patterns
2141
Chapter 431 Empowering the OLAP Technology to Support Complex Dimension Hierarchies
2164
An Explanatory Study of a Customer Relationship Management Application
2185
Chapter 433 Statistical Sampling to Instantiate Materialized View Selection Problems in Data Warehouses
2201
Chapter 434 Development of Control Signatures with a Hybrid Data Mining and Genetic Algorithm
2226
Chapter 435 Feature Selection for the Promoter Recognition and Prediction Problem
2248
Chapter 436 Data Warehousing Search Engine
2263
Section 5 Organizationl and Social Implications
2272
Chapter 51 Data Mining in Practice
2273
Chapter 52 Model Identification through Data Mining
2281
An Introduction
2289
Chapter 54 Constructionist Perspective of Organizational Data Mining
2296
Chapter 55 The Role of Data Mining in Organizational Cognition
2302
Normative and Cognitive Factors in Data Mining
2316
Chapter 57 Design of a Data Model for Social Network Applications
2338
Chapter 58 Humanities Data Warehousing
2364
Chapter 59 Data Mining in Human Resources
2371
Chapter 510 Privacy Preserving Data Mining Concepts Techniques and Evaluation Methodologies
2379
Chapter 511 PrivacyPreserving Data Mining and the Need for Confluence of Research and Practice
2402
Chapter 512 Data Mining in the Federal Government
2421
Chapter 513 Data Warehousing and the Organization of Governmental Databases
2427
Managing Risk in Lending and Credit Card Activities
2438
Chapter 515 Data Mining for Credit Scoring
2449
Chapter 516 Credit Card Users Data Mining
2464
Chapter 517 Data Mining for Supply Chain Management in Complex Networks
2468
Chapter 518 Neural NetworkBased Stock Market Return Forecasting Using Data Mining for Variable Reduction
2476
A DecisionTree Approach
2494
Chapter 520 Data Mining Techniques and Medical Decision Making for Urological Dysfunction
2506
Chapter 521 Heuristics in Medical Data Mining
2517
Chapter 522 An Approach to Mining Crime Patterns
2523
Chapter 523 Web Usage Mining Data Preparation
2551
Chapter 524 Classification of 3G Mobile Phone Customers
2558
Chapter 525 Impediments to Exploratory Data Mining Success
2566
Section 6 Managerial Impact
2583
Tools Technologies and Applications
2584
Chapter 62 Data Mining and Decision Support for Business and Science
2618
Chapter 63 Data Warehouse Interoperability for the Extended Enterprise
2626
Chapter 64 Data Warehousing and Mining in Supply Chains
2637
Chapter 65 Management of Data Streams for LargeScale Data Mining
2644
Chapter 66 Customized Recommendation Mechanism Based on Web Data Mining and CaseBased Reasoning
2659
Data Mining for Management Decisions in Corporate Special Digital and Traditional Libraries
2673
Chapter 68 Expanding Data Mining Power with System Dynamics
2688
Chapter 69 Data Mining and Mobile Business Data
2697
Chapter 610 Neural Data Mining System for TrustBased Evaluation in Smart Organizations
2704
Chapter 611 Data Mining in Franchise Organizations
2722
The Art of Data Mining in Retailing
2734
The 3M Experience
2749
The Case of WalMart
2762
Chapter 615 A Porter Framework for Understanding the Strategic Potential of Data Mining for the Australian Banking Industry
2772
Chapter 616 Data Mining for Combining Forecasts in Inventory Management
2792
Chapter 617 Analytical Customer Requirement Analysis Based on Data Mining
2798
Chapter 618 Predicting Future Customers via Ensembling Gradually Expanded Trees
2816
Chapter 619 Marketing Data Mining
2824
Section 7 Critical Issues
2833
Chapter 71 Ethics of Data Mining
2834
Chapter 72 Ethical Dilemmas in Data Mining and Warehousing
2841
Chapter 73 Privacy and Confidentiality Issues in Data Mining
2850
Chapter 74 Privacy Implications of Organizational Data Mining
2856
Chapter 75 Privacy in Data Mining Textbooks
2872
Chapter 76 Data Mining for Intrusion Detection
2880
Integration Issues and Challenges
2888
Chapter 78 A Data Mining Approach to Formulating a Successful Purchasing Negotiation Strategy
2900
Should Artificial Neural Networks Be Used To Analyse Trauma Audit Data?
2915
Chapter 710 A Data Mining Approach to Diagnosing Student Learning Problems in Science Courses
2928
Chapter 711 Effective Intelligent Data Mining Using DempsterShafer Theory
2943
Chapter 712 An Intelligent Support System Integrating Data Mining and Online Analytical Processing
2964
Chapter 713 A Successive Decision Tree Approach to Mining Remotely Sensed Image Data
2978
Chapter 714 Mining for Mutually Exclusive Items in Transaction Databases
2993
Chapter 715 ReSampling Based Data Mining Using Rough Set Theory
3005
Chapter 716 Data Mining with Incomplete Data
3027
Chapter 717 Routing Attribute Data Mining Based on Rough Set Theory
3033
Chapter 718 Data Warehouse Refreshment
3049
Chapter 719 An Algebraic Approach to Data Quality Metrics for Entity Resolution Over Large Datasets
3067
Chapter 720 A Hybrid Approach for Data Warehouse View Selection
3085
A Proxy Approach
3116
The Data Warehouse of Frequent Itemsets Tactics Approach
3142
Chapter 723 A HyperHeuristic for Descriptive Rule Induction
3164
Chapter 724 Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
3176
A Study Using a CommonSense Realistic Ontology
3194
Chapter 726 Robust Classification Based on Correlations Between Attributes
3212
Chapter 727 Finding NonCoincidental Sporadic Rules Using AprioriInverse
3222
Chapter 728 Discovering Surprising Instances of Simpsons Paradox in Hierarchical Multidimensional Data
3234
Chapter 729 Discovering Frequent Embedded Subtree Patterns from Large Databases of Unordered Labeled Trees
3252
Chapter 730 A Single Pass Algorithm for Discovering Significant Intervals in TimeSeries Data
3272
A Sequence Clustering Algorithm for Web Personalization
3285
A MetaLearning Approach
3308
Chapter 733 A Parallel Implementation Scheme of Relational Tables Based on Multidimensional Extendible Array
3324
Section 8 Emerging Trends
3345
Chapter 81 Toward Integrating Data Warehousing with Data Mining Techniques
3346
Chapter 82 Combining Data Warehousing and Data Mining Techniques for Web Log Analysis
3364
From Schematic to Systematic
3386
Chapter 84 Web Technology and Data Warehouse Synergies
3411
A Requirement for Web Warehousing and Knowledge Management
3416
Chapter 86 An Immune Systems Approach for Classifying Mobile Phone Usage
3440
Chapter 87 User Interface Formalization in Visual Data Mining
3451
Chapter 88 Mining in SpatioTemporal Databases
3477
Chapter 89 Algebraic Reconstruction Technique in Image Reconstruction Based on Data Mining
3493
Chapter 810 Evolutionary Induction of Mixed Decision Trees
3509
Chapter 811 Semantic Data Mining
3524
Chapter 812 Metadata and OntologyBased Semantic Web Mining
3531
Chapter 813 Integrating Semantic Knowledge with Web Usage Mining for Personalization
3557
Chapter 814 Mining in Music Databases
3586
Chapter 815 Multimedia Data Mining Concept
3611
Chapter 816 Robust Face Recognition for Data Mining
3621
Chapter 817 Data Mining and Homeland Security
3630
Chapter 818 Homeland Security Data Mining and Link Analysis
3639
A Survey
3645
An Overview
3662
Chapter 821 Mining Clinical Trial Data
3675
Chapter 822 Vertical Database Design for Scalable Data Mining
3694
Index
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關於作者 (2008)

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]

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