International Journal of Data Warehousing and Mining

International Journal of Data Warehousing and Mining

International Journal of Data Warehousing and Mining April-June 2015, Vol. 11, No. 2 Table of Contents Special Issue on the 9th French-Speaking Workshop on Data Warehousing and OLAP and 1st Workshop on Social BI Guest Editorial Preface iv Matteo Golfarelli, Department of Computer Science and Engineering, University of Bologna, Bologna, Italy Patrick Marcel, Laboratory of Computer Science, University of Tours, Tours, France Verónika Peralta, Laboratory of Computer Science, University of Tours, Tours, France Stefano Rizzi, Department of Computer Science and Engineering, University of Bologna, Bologna, Italy Research Articles 1 Contextualized Text OLAP Based on Information Retrieval Lamia Oukid, LRDSI Laboratory, University of Blida 1, Blida, Algeria Nadjia Benblidia, LRDSI Laboratory, University of Blida 1, Blida, Algeria Fadila Bentayeb, ERIC Laboratory, University of Lyon 2, Lyon, France Ounas Asfari, ERIC Laboratory, University of Lyon 2, Lyon, France Omar Boussaid, ERIC Laboratory, University of Lyon 2, Lyon, France 22 A Novel Multi-Secret Sharing Approach for Secure Data Warehousing and On-Line Analysis Processing in the Cloud Varunya Attasena, Université de Lyon (Laboratoire ERIC), Lyon, France Nouria Harbi, Université de Lyon (Laboratoire ERIC), Lyon, France Jérôme Darmont, Université de Lyon (Laboratoire ERIC), Lyon, France 44 Query Interaction Based Approach for Horizontal Data Partitioning Ladjel Bellatreche, LIAS/ISAE-ENSMA, Poitiers University, Poitiers, France Amira Kerkad, LIAS/ISAE-ENSMA, Poitiers University, Poitiers, France 62 Coupling Materialized View Selection to Multi Query Optimization: Hyper Graph Approach Ahcene Boukorca, LIAS/ISAE-ENSMA, Poitiers University, Poitiers, France Ladjel Bellatreche, LIAS/ISAE-ENSMA, Poitiers University, Poitiers, France Sid-Ahmed Benali Senouci, Mentors Graphics, Montbonnot-Saint-Martin, France Zoé Faget, LIAS/ISAE-ENSMA, Poitiers University, Poitiers, France Copyright The International Journal of Data Warehousing and Mining (IJDWM) (ISSN 1548-3924; eISSN 1548-3932), Copyright © 2015 IGI Global. All rights, including translation into other languages reserved by the publisher. No part of this journal may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes. Product or company names used in this journal are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. The views expressed in this journal are those of the authors but not necessarily of IGI Global. The International Journal of Data Warehousing and Mining is indexed or listed in the following: ACM Digital Library; Australian Business Deans Council (ABDC); Bacon’s Media Directory; Burrelle’s Media Directory; Cabell’s Directories; Compendex (Elsevier Engineering Index); CSA Illumina; Current Contents®/Engineering, Computing, & Technology; DBLP; DEST Register of Refereed Journals; Gale Directory of Publications & Broadcast Media; GetCited; Google Scholar; INSPEC; Journal Citation Reports/Science Edition; JournalTOCs; Library & Information Science Abstracts (LISA); MediaFinder; Science Citation Index Expanded (SciSearch®); SCOPUS; The Index of Information Systems Journals; The Standard Periodical Directory; Thomson Reuters; Ulrich’s Periodicals Directory; Web of Science.

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    1 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us