Data Warehousing and Knowledge Discovery (Record no. 34555)

000 -LEADER
fixed length control field 05697nam a22004695i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783540452287
-- 978-3-540-45228-7
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
245 10 - TITLE STATEMENT
Title Data Warehousing and Knowledge Discovery
Sub Title 5th International Conference, DaWak 2003, Prague, Czech Republic, September 3-5, 2003. Proceedings /
Statement of responsibility, etc edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Berlin, Heidelberg :
Name of publisher Springer Berlin Heidelberg,
Year of publication 2003.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 438 p.
Other physical details online resource.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Invited Talk -- XML for Data Warehousing Chances and Challenges -- Data Cubes and Queries -- CPM: A Cube Presentation Model for OLAP -- Computation of Sparse Data Cubes with Constraints -- Answering Joint Queries from Multiple Aggregate OLAP Databases -- An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy -- Multidimensional Data Model -- A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations -- The GMD Data Model for Multidimensional Information: A Brief Introduction -- An Application of Case-Based Reasoning in Multidimensional Database Architecture -- Web Warehousing -- MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems -- Designing Web Warehouses from XML Schemas -- Building XML Data Warehouse Based on Frequent Patterns in User Queries -- Change Detection -- A Temporal Study of Data Sources to Load a Corporate Data Warehouse -- Automatic Detection of Structural Changes in Data Warehouses -- Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin -- Web Mining and Association Rule -- Recent Developments in Web Usage Mining Research -- Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph -- Association Rules and Decision Trees -- Ordinal Association Rules towards Association Rules -- Rough Set Based Decision Tree Model for Classification -- Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes -- Generating Effective Classifiers with Supervised Learning of Genetic Programming -- Clustering I -- Clustering by Regression Analysis -- Handling Large Workloads by Profiling and Clustering -- Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering -- Clustering II -- On Complementarity of Cluster and Outlier Detection Schemes -- Cluster Validity Using Support Vector Machines -- FSSM: Fast Construction of the Optimized Segment Support Map -- Association Rule Mining -- Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited -- Parameterless Data Compression and Noise Filtering Using Association Rule Mining -- Performance Evaluation of SQL-OR Variants for Association Rule Mining -- Data Analysis and Discovery -- A Distance-Based Approach to Find Interesting Patterns -- Similarity Search in Structured Data -- Ontologies and Improving Data Quality -- Using an Interest Ontology for Improved Support in Rule Mining -- Fraud Formalization and Detection -- Combining Noise Correction with Feature Selection -- Queries and Data Patterns -- Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram -- Comprehensive Log Compression with Frequent Patterns -- Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations -- Improving Database Query Engine -- A New Computation Model for Rough Set Theory Based on Database Systems -- Computing SQL Queries with Boolean Aggregates -- Fighting Redundancy in SQL -- Sampling and Vector Classification -- “On-the-fly” VS Materialized Sampling and Heuristics -- Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer science.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science, general.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kambayashi, Yahiko.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mohania, Mukesh.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wöß, Wolfram.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/b11825
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-BOOKS
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2003.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 0302-9743 ;
Holdings
Withdrawn status Lost status Damaged status Not for loan Current library Accession Number Uniform Resource Identifier Koha item type
        IMSc Library EBK5261 http://dx.doi.org/10.1007/b11825 E-BOOKS
The Institute of Mathematical Sciences, Chennai, India

Powered by Koha