Transactions on Large-Scale Data- and Knowledge-Centered Systems VIII

Special Issue on Advances in Data Warehousing and Knowledge Discovery

  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner
  • Alfredo Cuzzocrea
  • Umeshwar Dayal

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7790)

Table of contents

  1. Front Matter
  2. Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
    Pages 1-31
  3. Ahmad Taleb, Todd Eavis, Hiba Tabbara
    Pages 53-88
  4. Bibudh Lahiri, Ioannis Akrotirianakis, Fabian Moerchen
    Pages 89-112
  5. Hai-Long Nguyen, Wee-Keong Ng, Yew-Kwong Woon
    Pages 113-136
  6. Yun Sing Koh, Gillian Dobbie
    Pages 137-156
  7. Sidney Tsang, Yun Sing Koh, Gillian Dobbie
    Pages 157-173
  8. Carson Kai-Sang Leung, Alfredo Cuzzocrea, Fan Jiang
    Pages 174-196
  9. Back Matter

About this book


The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the eighth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers focusing on the following topics: scalable data warehousing via MapReduce, extended OLAP multidimensional models, naive OLAP engines and their optimization, advanced data stream processing and mining, semi-supervised learning of data streams, incremental pattern mining over data streams, association rule mining over data streams, frequent pattern discovery over data streams.


ETL data mining event logs frequent patterns query optimization

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Josef Küng
    • 2
  • Roland Wagner
    • 3
  • Alfredo Cuzzocrea
    • 4
  • Umeshwar Dayal
    • 5
  1. 1.IRITPaul Sabatier University,Toulouse CedexFrance
  2. 2.Institute for Application Oriented Knowledge ProcessingLinzAustria
  3. 3.FAWUniversity of LinzLinzAustria
  4. 4.ICAR-CNRUniversity of CalabriaRende (CS)Italy
  5. 5.Hewlett-Packard LaboratoriesPalo AltoUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-37573-6
  • Online ISBN 978-3-642-37574-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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