Skip to main content
SpringerLink
Log in
Book cover

Data Warehousing and Knowledge Discovery

15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Ladjel Bellatreche

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Mukesh K. Mohania

    1. IBM India Research Lab, New Delhi, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • State-of-the-art research
  • Up-to-date results
  • Unique visibility

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8057)

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

Included in the following conference series:

Conference proceedings info: DaWaK 2013.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as 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

Licence this eBook for your library

Institutional subscriptions

Table of contents (32 papers)

  1. Front Matter

    Download chapter PDF

  2. Modeling and ETL

    1. An Analytics-Aware Conceptual Model for Evolving Graphs

      • Amine Ghrab, Sabri Skhiri, Salim Jouili, Esteban Zimányi
      Pages 1-12

    2. Declarative Expression and Optimization of Data-Intensive Flows

      • Georgia Kougka, Anastasios Gounaris
      Pages 13-25

    3. Tabular Web Data: Schema Discovery and Integration

      • Prudhvi Janga, Karen C. Davis
      Pages 26-33

  3. Query Optimization and Parallelism

    1. Uncoupled MapReduce: A Balanced and Efficient Data Transfer Model

      • Jie Zhang, Maosen Sun, Jian Lin, Li Zha
      Pages 34-45

    2. Efficient Evaluation of Ad-Hoc Range Aggregates

      • Christian Ammendola, Michael H. Böhlen, Johann Gamper
      Pages 46-59

    3. SPIN: Concurrent Workload Scaling over Data Warehouses

      • João Pedro Costa, Pedro Furtado
      Pages 60-71

  4. Spatial Data Warehouses and Applications

    1. Lily: A Geo-Enhanced Library for Location Intelligence

      • Matteo Golfarelli, Marco Mantovani, Federico Ravaldi, Stefano Rizzi
      Pages 72-83

    2. Discovering Co-location Patterns in Datasets with Extended Spatial Objects

      • Aibek Adilmagambetov, Osmar R. Zaiane, Alvaro Osornio-Vargas
      Pages 84-96

    3. SOLAP4epidemiologist: A Spatial Data Warehousing Application in Epidemiology Domain

      • Assuntina Cembalo, Michele Ferrucci, Francesca Maria Pisano, Gianpaolo Pigliasco
      Pages 97-109

  5. Text Mining and OLAP

    1. Document Difficulty Framework for Semi-automatic Text Classification

      • Miguel Martinez-Alvarez, Alejandro Bellogin, Thomas Roelleke
      Pages 110-121

    2. Knowledge-Free Table Summarization

      • Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire
      Pages 122-133

  6. Recommendation and Prediction

    1. Predicting Your Next OLAP Query Based on Recent Analytical Sessions

      • Marie-Aude Aufaure, Nicolas Kuchmann-Beauger, Patrick Marcel, Stefano Rizzi, Yves Vanrompay
      Pages 134-145

    2. Where Will You Go? Mobile Data Mining for Next Place Prediction

      • João Bártolo Gomes, Clifton Phua, Shonali Krishnaswamy
      Pages 146-158

    3. An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions

      • Luiz Henrique de Campos Merschmann, Alex Alves Freitas
      Pages 159-171

  7. Data Mining Optimization and Machine Learning Techniques

    1. Supervised Dimensionality Reduction via Nonlinear Target Estimation

      • Josif Grabocka, Lucas Drumond, Lars Schmidt-Thieme
      Pages 172-183

    2. Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery

      • Pawel Boinski, Maciej Zakrzewicz
      Pages 184-195

    3. Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets

      • Yoshitaka Kameya, Hiroki Asaoka
      Pages 196-208

  8. Mining and Processing Data Stream

    1. Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data

      • Fan Jiang, Carson Kai-Sang Leung
      Pages 209-221

    2. Fast Causal Network Inference over Event Streams

      • Saurav Acharya, Byung Suk Lee
      Pages 222-235
Back to top

Other volumes

  1. Data Warehousing and Knowledge Discovery

Keywords

About this book

This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013.
The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on modeling and ETL, query optimization and parallelism, spatial data warehouses and applications, text mining and OLAP, recommendation and prediction, data mining optimization and machine learning techniques, mining and processing data streams, clustering and data mining applications, social network and graph mining, and event sequence and Web mining.

Editors and Affiliations

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

    Ladjel Bellatreche

  • IBM India Research Lab, New Delhi, India

    Mukesh K. Mohania

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation