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  • © 2017

Big Data Analytics and Knowledge Discovery

19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings

Conference proceedings info: DaWaK 2017.

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Table of contents (35 papers)

  1. Front Matter

    Pages I-XIV
  2. New Generation Data Warehouses Design

    1. Front Matter

      Pages 1-1
    2. Evaluation of Data Warehouse Design Methodologies in the Context of Big Data

      • Francesco Di Tria, Ezio Lefons, Filippo Tangorra
      Pages 3-18
    3. Exploiting Mathematical Structures of Statistical Measures for Comparison of RDF Data Cubes

      • Claudia Diamantini, Domenico Potena, Emanuele Storti
      Pages 33-41
  3. Cloud and NoSQL Databases

    1. Front Matter

      Pages 51-51
    2. Enforcing Privacy in Cloud Databases

      • Somayeh Sobati Moghadam, Jérôme Darmont, Gérald Gavin
      Pages 53-73
    3. TARDIS: Optimal Execution of Scientific Workflows in Apache Spark

      • Daniel Gaspar, Fabio Porto, Reza Akbarinia, Esther Pacitti
      Pages 74-87
    4. MDA-Based Approach for NoSQL Databases Modelling

      • Fatma Abdelhedi, Amal Ait Brahim, Faten Atigui, Gilles Zurfluh
      Pages 88-102
  4. Advanced Programming Paradigms

    1. Front Matter

      Pages 103-103
    2. MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework

      • Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, Fabrice Clérot
      Pages 105-119
    3. An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns

      • Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, M. Toyoda, Masaru Kitsuregawa
      Pages 120-129
    4. MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks

      • Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G. M. Pazdor
      Pages 130-145
  5. Non-functional Requirements Satisfaction

    1. Front Matter

      Pages 147-147
    2. A Case for Abstract Cost Models for Distributed Execution of Analytics Operators

      • Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao
      Pages 149-163
    3. Pre-processing and Indexing Techniques for Constellation Queries in Big Data

      • Amir Khatibi, Fabio Porto, Joao Guilherme Rittmeyer, Eduardo Ogasawara, Patrick Valduriez, Dennis Shasha
      Pages 164-172
    4. Modeling Data Flow Execution in a Parallel Environment

      • Georgia Kougka, Anastasios Gounaris, Ulf Leser
      Pages 183-196
  6. Machine Learning

    1. Front Matter

      Pages 197-197

Other Volumes

  1. Big Data Analytics and Knowledge Discovery

About this book

This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017.

The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis and user influence; knowledge discovery;  and data flow management and optimization.  


Editors and Affiliations

  • LIAS/ISAE-ENSMA, Chasseneuil, France

    Ladjel Bellatreche

  • University of Texas at Arlington, Arlington, USA

    Sharma Chakravarthy

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access