Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642037290, 9783642037306

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A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_9 ◽

2009 ◽

pp. 99-110 ◽

Cited By ~ 11

Author(s):

Ladjel Bellatreche ◽

Soumia Benkrid

Keyword(s):

Design Approach ◽

Data Warehouses ◽

Joint Design ◽

Parallel Data

Recommending Multidimensional Queries

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_36 ◽

2009 ◽

pp. 453-466 ◽

Cited By ~ 27

Author(s):

Arnaud Giacometti ◽

Patrick Marcel ◽

Elsa Negre

Mining Violations to Relax Relational Database Constraints

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_27 ◽

2009 ◽

pp. 339-353 ◽

Cited By ~ 1

Author(s):

Mirjana Mazuran ◽

Elisa Quintarelli ◽

Rosalba Rossato ◽

Letizia Tanca

Keyword(s):

Relational Database ◽

Database Constraints

Exact and Approximate Sizes of Convex Datacubes

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_17 ◽

2009 ◽

pp. 204-215 ◽

Cited By ~ 2

Author(s):

Sébastien Nedjar

A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_14 ◽

2009 ◽

pp. 163-176 ◽

Cited By ~ 1

Author(s):

Minh Quoc Nguyen ◽

Edward Omiecinski ◽

Leo Mark

Keyword(s):

Multidimensional Datasets ◽

Feature Based

Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_12 ◽

2009 ◽

pp. 138-150 ◽

Cited By ~ 1

Author(s):

Marzena Kryszkiewicz

Keyword(s):

Set Representations

Preference-Based Recommendations for OLAP Analysis

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_37 ◽

2009 ◽

pp. 467-478 ◽

Cited By ~ 23

Author(s):

Houssem Jerbi ◽

Franck Ravat ◽

Olivier Teste ◽

Gilles Zurfluh

Keyword(s):

Olap Analysis

Data Stream Prediction Using Incremental Hidden Markov Models

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_6 ◽

2009 ◽

pp. 63-74 ◽

Cited By ~ 2

Author(s):

Kei Wakabayashi ◽

Takao Miura

Keyword(s):

Hidden Markov Models ◽

Data Stream ◽

Markov Models ◽

Hidden Markov

HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_8 ◽

2009 ◽

pp. 87-98 ◽

Cited By ~ 3

Author(s):

Jan Chmiel ◽

Tadeusz Morzy ◽

Robert Wrembel

Keyword(s):

Bitmap Index

Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03730-6_18 ◽

2009 ◽

pp. 216-228

Author(s):

Isis Peña ◽

Herna L. Viktor ◽

Eric Paquet

Keyword(s):

Cluster Analysis ◽

Interestingness Measures

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses

Recommending Multidimensional Queries

Mining Violations to Relax Relational Database Constraints

Exact and Approximate Sizes of Convex Datacubes

A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets

Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation

Preference-Based Recommendations for OLAP Analysis

Data Stream Prediction Using Incremental Hidden Markov Models

HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data

Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science
Latest Publications