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Produktbild: Data Warehousing and Knowledge Discovery
Band 6263

Data Warehousing and Knowledge Discovery 12th International Conference, DaWaK 2010, Bilbao, Spain, August 30 - September 2, 2010, Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.08.2010

Abbildungen

X, 338 p. 107 illus.

Herausgeber

Mukesh K. Mohania + weitere

Verlag

Springer Berlin

Seitenzahl

338

Maße (L/B/H)

1,8/15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-642-15104-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.08.2010

Abbildungen

X, 338 p. 107 illus.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

338

Maße (L/B/H)

1,8/15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-642-15104-0

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: Data Warehousing and Knowledge Discovery
  • Data Warehouse Modeling and Spatial Data Warehouses.- Logic Programming for Data Warehouse Conceptual Schema Validation.- A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources.- Physical Design and Implementation of Spatial Data Warehouses Supporting Continuous Fields.- Benchmarking Spatial Data Warehouses.- Mining Social Networks and Graphs.- Discovering Community-Oriented Roles of Nodes in a Social Network.- A Graph-Based Clustering Scheme for Identifying Related Tags in Folksonomies.- Frequent Sub-graph Mining on Edge Weighted Graphs.- Physical Data Warehouse Design.- & : A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters.- Yet Another Algorithms for Selecting Bitmap Join Indexes.- Speeding Up Queries in Column Stores.- Dependency Mining.- Mining Non-redundant Information-Theoretic Dependencies between Itemsets.- Discovery and Application of Functional Dependencies in Conjunctive Query Mining.- Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients.- Business Intelligence and Analytics.- The NOX Framework: Native Language Queries for Business Intelligence Applications.- Experience in Extending Query Engine for Continuous Analytics.- Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies.- Outlier and Image Mining.- A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data.- Specialty Mining.- Region of Interest Based Image Categorization.- Pattern Mining.- Meta-learning for Post-processing of Association Rules.- A Relational Approach for Discovering Frequent Patterns with Disjunctions.- An Occurrence Based Approach to Mine Emerging Sequences.- Mining Closed Itemsets in Data Stream Using Formal Concept Analysis.- Data Cleaning and Variable Selection.- XML Data Fusion.- An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index.- Modelling Complex Data by Learning Which Variable to Construct.