Chapter: Efficient Data Distribution for DWS

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Chapters/Headings	Author(s)	Pages	Info
Front Matter
UML-Based Modeling for What-If Analysis	Matteo Golfarelli; Stefano Rizzi	1-12
Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses	Jesús Pardillo; Jose-Norberto Mazón; Juan Trujillo	13-22
An MDA Approach for the Development of Spatial Data Warehouses	Octavio Glorio; Juan Trujillo	23-32
Built-In Indicators to Discover Interesting Drill Paths in a Cube	Véronique Cariou; Jérôme Cubillé; Christian Derquenne; Sabine Goutier; Françoise Guisnel; Henri Klajnmic	33-44
Upper Borders for Emerging Cubes	Sébastien Nedjar; Alain Casali; Rosine Cicchetti; Lotfi Lakhal	45-54
Top_Keyword: An Aggregation Function for Textual Document OLAP	Franck Ravat; Olivier Teste; Ronan Tournier; Gilles Zurfluh	55-64
Summarizing Distributed Data Streams for Storage in Data Warehouses	Raja Chiky; Georges Hébrail	65-74
Efficient Data Distribution for DWS	Raquel Almeida; Jorge Vieira; Marco Vieira; Henrique Madeira; Jorge Bernardino	75-86
Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation	Ladjel Bellatreche; Kamel Boukhalfa; Pascal Richard	87-96
A Robust Sampling-Based Framework for Privacy Preserving OLAP	Alfredo Cuzzocrea; Vincenzo Russo; Domenico Saccà	97-114
Generalization-Based Privacy-Preserving Data Collection	Lijie Zhang; Weining Zhang	115-124
Processing Aggregate Queries on Spatial OLAP Data	Kenneth Choi; Wo-Shun Luk	125-134
Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses	Gabriela Turcu; Svetlozar Nestorov; Ian Foster	135-145
Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization	Mikołaj Morzy; Marcin Krystek	146-155
Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies	Marc Plantevit; Anne Laurent; Maguelonne Teisseire	156-165
Efficient K-Means Clustering Using Accelerated Graphics Processors	S. A. Arul Shalom; Manoranjan Dash; Minh Tue	166-175
Extracting Knowledge from Life Courses: Clustering and Visualization	Nicolas S. Müller; Alexis Gabadinho; Gilbert Ritschard; Matthias Studer	176-185
A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP	Yannis Marinakis; Magdalene Marinaki; Nikolaos Matsatsinis	186-195
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering	Jonathan Gemmell; Andriy Shepitsen; Bamshad Mobasher; Robin Burke	196-205
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