Data Warehousing and Knowledge Discovery : 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006 : proceedings
著者
書誌事項
Data Warehousing and Knowledge Discovery : 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006 : proceedings
（Lecture notes in computer science, 4081）
Springer, c2006
大学図書館所蔵 件 / 全8件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in conjunction with DEXA 2006. The book presents 53 revised full papers, organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.
目次
ETL Processing.- ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software.- Applying Transformations to Model Driven Data Warehouses.- Bulk Loading a Linear Hash File.- Materialized View.- Dynamic View Selection for OLAP.- Preview: Optimizing View Materialization Cost in Spatial Data Warehouses.- Preprocessing for Fast Refreshing Materialized Views in DB2.- Multidimensional Design.- A Multiversion-Based Multidimensional Model.- Towards Multidimensional Requirement Design.- Multidimensional Design by Examples.- OLAP and Multidimensional Model.- Extending Visual OLAP for Handling Irregular Dimensional Hierarchies.- A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes.- Analysing Multi-dimensional Data Across Autonomous Data Warehouses.- What Time Is It in the Data Warehouse?.- Cubes Processing.- Computing Iceberg Quotient Cubes with Bounding.- An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube.- On the Computation of Maximal-Correlated Cuboids Cells.- Data Warehouse Applications.- Warehousing Dynamic XML Documents.- Integrating Different Grain Levels in a Medical Data Warehouse Federation.- A Versioning Management Model for Ontology-Based Data Warehouses.- Data Warehouses in Grids with High QoS.- Mining Techniques (1).- Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods.- Efficient Mining of Dissociation Rules.- Optimized Rule Mining Through a Unified Framework for Interestingness Measures.- An Information-Theoretic Framework for Process Structure and Data Mining.- Mining Techniques (2).- Mixed Decision Trees: An Evolutionary Approach.- ITER: An Algorithm for Predictive Regression Rule Extraction.- COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach.- Frequent Itemsets.- A Greedy Approach to Concurrent Processing of Frequent Itemset Queries.- Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation.- EStream: Online Mining of Frequent Sets with Precise Error Guarantee.- Mining Data Streams.- Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams.- Classification of Hidden Network Streams.- Adaptive Load Shedding for Mining Frequent Patterns from Data Streams.- An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams.- Ontology-Based Mining.- Learning Classifiers from Distributed, Ontology-Extended Data Sources.- A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations.- Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature.- Clustering.- Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures.- Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures.- Calculation of Density-Based Clustering Parameters Supported with Distributed Processing.- Cluster-Based Sampling Approaches to Imbalanced Data Distributions.- Advanced Mining Techniques.- Efficient Mining of Large Maximal Bicliques.- Automatic Image Annotation by Mining the Web.- Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data.- Association Rules.- Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP.- Difference Detection Between Two Contrast Sets.- EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy).- Miscellaneous Applications.- AISS: An Index for Non-timestamped Set Subsequence Queries.- A Method for Feature Selection on Microarray Data Using Support Vector Machine.- Providing Persistence for Sensor Data Streams by Remote WAL.- Classification.- Support Vector Machine Approach for Fast Classification.- Document Representations for Classification of Short Web-Page Descriptions.- GARC: A New Associative Classification Approach.- Conceptual Modeling for Classification Mining in Data Warehouses.
「Nielsen BookData」 より
