Complex Data Warehousing And Knowledge Discovery For Advanced Retrieval Development

Complex Data Warehousing And Knowledge Discovery For Advanced Retrieval Development

by Tho Manh Nguyen
     
 

Recently, researchers have gained innovative principles, methods, algorithms, and solutions to challenging problems faced in the development of data warehousing, knowledge discovery, and data mining applications. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications provides a comprehensive

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Overview

Recently, researchers have gained innovative principles, methods, algorithms, and solutions to challenging problems faced in the development of data warehousing, knowledge discovery, and data mining applications. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications provides a comprehensive analysis on current issues and trends in retrieval expansion. Containing research from leading international experts, this book presents future challenges and opportunities in the field valuable to academicians, researchers, and practitioners.

Product Details

ISBN-13:
9781605667485
Publisher:
IGI Global
Publication date:
02/18/2011
Series:
Advances in Data Warehousing and Mining (ADWM) Book Series
Pages:
426
Product dimensions:
8.70(w) x 11.30(h) x 1.20(d)

Table of Contents

Ch. 1 The LBF R-Tree: Scalable Indexing and Storage for Data Warehousing Systems 1

Ch. 2 Dynamic Workload for Schema Evolution in Data Warehouses: A Performance Issue 28

Ch. 3 Preview: Optimizing View Materialization Cost in Spatial Data Warehouses 47

Ch. 4 Decisional Annotations: Integrating and Preserving Decision-Makers' Expertise in Multidimensional Systems 65

Ch. 5 Federated Data Warehouses 82

Ch. 6 Built-In Indicators to Support Business Intelligence in OLAP Databases 108

Ch. 7 Conceptual Data Warehouse Design Methodology for Business Process Intelligence 129

Ch. 8 Data Warehouse Facilitating Evidence-Based Medicine 174

Ch. 9 Deploying Data Warehouses in Grids with Efficiency and Availability 208

Ch. 10 MOSAIC: Agglomerative Clustering with Gabriel Graphs 231

Ch. 11 Ranking Gradients in Multi-Dimensional Spaces 251

Ch. 12 Simultaneous Feature Selection and Tuple Selection for Efficient Classification 270

Ch. 13 Learning Cost-Sensitive Decision Trees to Support Medical Diagnosis 287

Ch. 14 An Approximate Approach for Maintaining Recent Occurrences of Itemsets in a Sliding Window over Data Streams 308

Ch. 15 Protocol Identification of Encrypted Network Streams 328

Ch. 16 Exploring Calendar-Based Pattern Mining in Data Streams 342

Compilation of References 361

Index 400

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