Del i serien Lecture Notes in Computer Science

Data Warehousing and Knowledge Discovery

Second International Conference, DaWaK 2000 London, UK, September 4-6, 2000 Proceedings

Häftad, Engelska, 2000

AvYahiko Kambayashi,Mukesh Mohania,A Min Tjoa

719 kr

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This book constitutes the refereed proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2000, held in London, UK in September 2000. The 31 revised full papers presented together with 11 short papers were carefully reviewed and selected from a total of more than 90 submissions. The papers are organized in topical sections on data warehouse design, materialized views, warehouse data creation and maintenance, warehouse views selection and evolution, OLAP system design and query association rules, temporal association rules, and mining complex databases.

Produktinformation

Utgivningsdatum2000-08-25
Mått155 x 233 x 25 mm
Vikt680 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor440
Upplaga2000
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540679806

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Data Warehouse Design.- The Design and Development of a Logical System for OLAP.- Applying Vertical Fragmentation Techniques in Logical Design of Multidimensional Databases.- Space-Efficient Data Cubes for Dynamic Environments.- On Making Data Warehouses Active.- Materialized Views.- Supporting Hot Spots with Materialized Views.- Evaluation of Materialized View Indexing in Data Warehousing Environments.- View Derivation Graph with Edge Fitting for Adaptive Data Warehousing.- On the Importance of Tuning in Incremental View Maintenance: An Experience Case Study.- Warehouse Data Creation and Maintenance.- BEDAWA - A Tool for Generating Sample Data for Data Warehouses.- DyDa: Dynamic Data Warehouse Maintenance in a Fully Concurrent Environment.- Scalable Maintenance of Multiple Interrelated Data Warehousing Systems.- View Maintenance for Hierarchical Semistructured Data.- Maintaining Horizontally Partitioned Warehouse Views.- Invited Talk.- Funding Research in Data Warehousing and Knowledge Discovery EPROS: The European Plan for Research in Official Statistics.- Warehouse Views Selection and Evolution.- Elimination of Redundant Views in Multidimensional Aggregates.- Data Cube Compression with QuantiCubes.- History-Driven View Synchronization.- A Logical Model for Data Warehouse Design and Evolution.- OLAP System Design and Query Analysis.- An Alternative Relational OLAP Modeling Approach.- Functional Dependencies in Controlling Sparsity of OLAP Cubes.- An OLAP-based Scalable Web Access Analysis Engine.- PROMISE: Predicting Query Behavior to Enable Predictive Caching Strategies for OLAP Systems.- OLAP Query Evaluation.- Supporting Online Queries in ROLAP.- Optimal Multidimensional Query Processing Using Tree Striping.- Enhancing Preprocessing in Data-Intensive Domains usingOnline-Analytical Processing.- Meta-queries - Computation and Evaluation.- Partitioning Algorithms for the Computation of Average Iceberg Queries.- Invited Talk.- Security in Data Warehousing.- Association Rules.- Mining of Association Rules in Text Databases Using Inverted Hashing and Pruning.- SQL Based Association Rule Mining Using Commercial RDBMS (IBM DB2 UDB EEE).- On Supporting Interactive Association Rule Mining.- Temporal Association Rules.- Discovering Temporal Patterns for Interval-based Events.- An Integrated Query and Mining System for Temporal Association Rules.- Mining Changes for Real-Life Applications.- AIM: Approximate Intelligent Matching for Time Series Data.- Mining Complex Databases.- Cofe: A Scalable Method for Feature Extraction from Complex Objects.- The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k-Nearest-Neighbor Queries.- Data Mining Support in Database Management Systems.- Decision trees for probabilistic data.- Mining Frequent Binary Expressions.- A Fast Algorithm for Hierarchical Text Classification.- A Hybrid Technique for Data Mining on Balance-Sheet Data.- Mondou: Information Navigator with Visual Interface.- Vmhist: Efficient Multidimensional Histograms with Improved Accuracy.