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Data Warehousing and Knowledge Discovery

16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings

  • Conference proceedings
  • © 2014

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Editors:
  1. Ladjel Bellatreche

    1. LIAS/ISAE-ENSMA, Téléport 2, Futuroscope Chasseneuil Cedex, France

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  2. Mukesh K. Mohania

    1. IBM Research - India, Vasant Kunj, India

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8646)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Conference proceedings info: DaWaK 2014.

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About this book

This book constitutes the refereed proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014 held in Munich, Germany, September 2014, in conjunction with DEXA 2014. The 34 revised full papers and 8 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on modeling and ETL; ontology-based data warehouses; advanced data warehouses and OLAP; uncertainty; preferences and recommendation; query performance and HPC; cube & OLAP; optimization; classification; social networks and recommendation systems; knowledge data discovery; industrial applications; mining and processing data stream; mining and similarity.

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Table of contents (42 papers)

  1. Front Matter

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  2. Modeling and ETL

    1. An Approach on ETL Attached Data Quality Management

      • Christian Lettner, Reinhard Stumptner, Karl-Heinz Bokesch
      Pages 1-8

    2. Quality Measures for ETL Processes

      • Vasileios Theodorou, Alberto Abelló, Wolfgang Lehner
      Pages 9-22

    3. A Logical Model for Multiversion Data Warehouses

      • Waqas Ahmed, Esteban Zimányi, Robert Wrembel
      Pages 23-34

  3. Ontology-Based Data Warehouses

    1. OntoWarehousing – Multidimensional Design Supported by a Foundational Ontology: A Temporal Perspective

      • João Moreira, Kelli Cordeiro, Maria Luiza Campos, Marcos Borges
      Pages 35-44

    2. Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP

      • Lorena Etcheverry, Alejandro Vaisman, Esteban Zimányi
      Pages 45-56

    3. Extending Drill-Down through Semantic Reasoning on Indicator Formulas

      • Claudia Diamantini, Domenico Potena, Emanuele Storti
      Pages 57-68

  4. Advanced Data Warehouses and OLAP

    1. An OLAP-Based Approach to Modeling and Querying Granular Temporal Trends

      • Alberto Sabaini, Esteban Zimányi, Carlo Combi
      Pages 69-77

    2. Real-Time Data Warehousing: A Rewrite/Merge Approach

      • Alfredo Cuzzocrea, Nickerson Ferreira, Pedro Furtado
      Pages 78-88

    3. Towards Next Generation BI Systems: The Analytical Metadata Challenge

      • Jovan Varga, Oscar Romero, Torben Bach Pedersen, Christian Thomsen
      Pages 89-101

  5. Uncertainty

    1. Mining Fuzzy Contextual Preferences

      • Sandra de Amo, Juliete A. Ramos Costa
      Pages 102-114

    2. BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining

      • Carson Kai-Sang Leung, Richard Kyle MacKinnon
      Pages 115-123

    3. Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects

      • Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas
      Pages 124-135

  6. Preferences and Recommendation

    1. Discovering Community Preference Influence Network by Social Network Opinion Posts Mining

      • Tamanna S. Mumu, Christie I. Ezeife
      Pages 136-145

    2. Computing Hierarchical Skyline Queries “On-the-Fly” in a Data Warehouse

      • Tassadit Bouadi, Marie-Odile Cordier, René Quiniou
      Pages 146-158

    3. Impact of Content Novelty on the Accuracy of a Group Recommender System

      • Ludovico Boratto, Salvatore Carta
      Pages 159-170

  7. Query Performance and HPC

    1. Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data

      • M. Asif Naeem, Gerald Weber, Christof Lutteroth, Gillian Dobbie
      Pages 171-182

    2. Parallel Co-clustering with Augmented Matrices Algorithm with Map-Reduce

      • Meng-Lun Wu, Chia-Hui Chang
      Pages 183-194

    3. Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud

      • Claudivan Cruz Lopes, Valéria Cesário Times, Stan Matwin, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri
      Pages 195-207

  8. Cube and OLAP

    1. Reducing Multidimensional Data

      • Faten Atigui, Franck Ravat, Jiefu Song, Gilles Zurfluh
      Pages 208-220
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Other volumes

  1. Data Warehousing and Knowledge Discovery

Editors and Affiliations

  • LIAS/ISAE-ENSMA, Téléport 2, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  • IBM Research - India, Vasant Kunj, India

    Mukesh K. Mohania

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