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Data Warehousing and Knowledge Discovery: 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings (Lecture Notes in Computer Science, 4081, Band 4081) - Trujillo, Juan, Tjoa, A Min
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Data Warehousing and Knowledge Discovery: 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings (Lecture Notes in Computer Science, 4081, Band 4081) - Taschenbuch

2008, ISBN: 9783540377368

Springer, Taschenbuch, Auflage: 2006, 604 Seiten, Publiziert: 2008-06-13T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: biography, 0.84 kg, Datenbanken, Computer & Internet, Kategorien, … Mehr…

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Data Warehousing and Knowledge Discovery 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings - Min Tjoa, A. (Herausgeber)
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Min Tjoa, A. (Herausgeber):

Data Warehousing and Knowledge Discovery 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings - neues Buch

2006, ISBN: 3540377360

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Data Warehousing and Knowledge Discovery
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Data Warehousing and Knowledge Discovery - Taschenbuch

2006

ISBN: 9783540377368

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Min Tjoa, A [Editor]:
Data Warehousing and Knowledge Discovery: 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings (Lecture Notes in ... Applications, incl. Internet/Web, and HCI) - Taschenbuch

2006, ISBN: 9783540377368

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Data Warehousing and Knowledge Discovery - Erstausgabe

2006, ISBN: 9783540377368

Taschenbuch

8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings, Buch, Softcover, [PU: Springer Berlin], [ED: 1], Springer Berlin, 2006

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Details zum Buch
Data Warehousing and Knowledge Discovery

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.

Detailangaben zum Buch - Data Warehousing and Knowledge Discovery


EAN (ISBN-13): 9783540377368
ISBN (ISBN-10): 3540377360
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2006
Herausgeber: Springer Berlin Heidelberg
604 Seiten
Gewicht: 0,900 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-06-12T10:46:34+02:00 (Zurich)
Detailseite zuletzt geändert am 2024-01-16T17:33:01+01:00 (Zurich)
ISBN/EAN: 9783540377368

ISBN - alternative Schreibweisen:
3-540-37736-0, 978-3-540-37736-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: tjoa
Titel des Buches: 8th, krakow, 2006, proceedings international conference, data warehousing and knowledge discovery


Daten vom Verlag:

Autor/in: A Min Tjoa
Titel: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Data Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings
Verlag: Springer; Springer Berlin
582 Seiten
Erscheinungsjahr: 2006-08-30
Berlin; Heidelberg; DE
Gewicht: 1,840 kg
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XVIII, 582 p.

BC; Data Structures and Information Theory; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; LA; OLAP; On-Line Analytical Processing; classification; data warehouse; knowledge discovery; ontology; service-oriented computing; warehousing; Database Management; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Computer Communication Networks; Artificial Intelligence; Data Structures and Information Theory; Database Management; Information Storage and Retrieval; Computer and Information Systems Applications; Computer Communication Networks; Artificial Intelligence; Informationstheorie; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Angewandte Informatik; Netzwerk-Hardware; Künstliche Intelligenz; EA

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.

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