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Data Warehousing and Knowledge Discovery : 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings - Taschenbuch

2004, ISBN: 354022937X

[EAN: 9783540229377], Neubuch, [PU: Springer Berlin Heidelberg], DATA MINING (EDV); WAREHOUSE; INFORMATIONSMANAGEMENT / EXTENSIBLEMARKUPLANGUAGE(XML); CLASSIFICATION; DATAMINING; DATAWARE… Mehr…

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Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings Yahiko Kambayash - neues Buch

2004, ISBN: 9783540229377

This book constitutes the refereed proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004.The … Mehr…

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Data Warehousing and Knowledge Discovery 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings - Kambayashi, Yahiko (Herausgeber); Wöß, Wolfram (Herausgeber); Mohania, Mukesh (Herausgeber)
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Kambayashi, Yahiko (Herausgeber); Wöß, Wolfram (Herausgeber); Mohania, Mukesh (Herausgeber):
Data Warehousing and Knowledge Discovery 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings - neues Buch

2004, ISBN: 354022937X

2004 Kartoniert / Broschiert Data Mining (EDV), Data Warehouse, Informationsmanagement / Data Warehouse, Netzwerk-Hardware, Algorithmen und Datenstrukturen, Datenbanken, Data Warehousin… Mehr…

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Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings Yahiko Kambayash
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9783540229377


This book constitutes the refereed proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004.The 40 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on data warehouse design; knowledge discovery framework and XML data mining, data cubes and queries; multidimensional schema and data aggregation; inductive databases and temporal rules; industrial applications; data clustering; data visualization and exploration; data classification, extraction, and interpretation; data semantics, association rule mining; event sequence mining; and pattern mining.

Detailangaben zum Buch - Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings Yahiko Kambayash


EAN (ISBN-13): 9783540229377
ISBN (ISBN-10): 354022937X
Taschenbuch
Erscheinungsjahr: 2004
Herausgeber: Springer Berlin Heidelberg Core >1 >T
432 Seiten
Gewicht: 0,649 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-05-24T15:20:01+02:00 (Vienna)
Detailseite zuletzt geändert am 2024-01-16T17:33:05+01:00 (Vienna)
ISBN/EAN: 9783540229377

ISBN - alternative Schreibweisen:
3-540-22937-X, 978-3-540-22937-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: wolfgang wöss, wolfram, patton, lever evelyne, borgolte, fleisser, wolf
Titel des Buches: spain, zaragoza, proceedings the 6th international conference, wak wak, notes, science, treasures, marie antoinette, nationale mythen panorama, die mittelalterliche kirche, remarque, data warehousing and knowledge discovery, ware

Daten vom Verlag:

Autor/in: Yahiko Kambayashi; Mukesh Mohania; Wolfram Wöß
Titel: Lecture Notes in Computer Science; Data Warehousing and Knowledge Discovery - 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings
Verlag: Springer; Springer Berlin
412 Seiten
Erscheinungsjahr: 2004-08-18
Berlin; Heidelberg; DE
Gewicht: 1,340 kg
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XIV, 412 p.

BC; Data Structures and Information Theory; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Informatik; Extensible Markup Language (XML); classification; data mining; data warehouse; database; databases; knowledge discovery; pattern mining; semantics; service-oriented computing; visualization; 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

Data Warehousing Design.- Conceptual Design of XML Document Warehouses.- Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses.- GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas.- Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses.- Knowledge Discovery Framework and XML Data Minig.- Novelty Framework for Knowledge Discovery in Databases.- Revisiting Generic Bases of Association Rules.- Mining Maximal Frequently Changing Subtree Patterns from XML Documents.- Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents.- Data Cubes and Queries.- Space-Efficient Range-Sum Queries in OLAP.- Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees.- Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding.- Multidimensional Schema and Data Aggregation.- An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses.- A Partial Pre-aggregation Scheme for HOLAP Engines.- Discovering Multidimensional Structure in Relational Data.- Inductive Databases and Temporal Rules.- Inductive Databases as Ranking.- Inductive Databases of Polynomial Equations.- From Temporal Rules to Temporal Meta-rules.- Industrial Track.- How Is BI Used in Industry?: Report from a Knowledge Exchange Network.- Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments.- Data Clustering.- Exploring Possible Adverse Drug Reactions by Clustering Event Sequences.- SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes.- Novel Clustering Approach that Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives.- Data Visualization and Exploration.- Categorical Data Visualization and Clustering Using Subjective Factors.- Multidimensional Data Visual Exploration by Interactive Information Segments.- Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment.- Data Classification, Extraction and Interpretation.- Classification Based on Attribute Dependency.- OWDEAH: Online Web Data Extraction Based on Access History.- Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation.- Data Semantics.- Deriving Multiple Topics to Label Small Document Regions.- Deriving Efficient SQL Sequences via Read-Aheads.- Diversity in Random Subspacing Ensembles.- Association Rule Mining.- Partitioned Approach to Association Rule Mining over Multiple Databases.- A Tree Partitioning Method for Memory Management in Association Rule Mining.- Mining Interesting Association Rules for Prediction in the Software Project Management Area.- Mining Event Sequences.- PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences.- Algorithms for Discovery of Frequent Superset, Rather Than Frequent Subset.- Pattern Mining.- Improving Direct Counting for Frequent Itemset Mining.- Mining Sequential Patterns with Item Constraints.- Mining Borders of the Difference of Two Datacubes.- Mining Periodic Patterns in Sequence Data.
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