Skip to main content
SpringerLink
Log in
Book cover

Business Intelligence for the Real-Time Enterprises

First International Workshop, BIRTE 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Christoph Bussler
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Malu Castellanos
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Umesh Dayal
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Sham Navathe
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4365)

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: BIRTE 2006.

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 (12 papers)

  1. Front Matter

    Download chapter PDF

  2. Practical Considerations for Real-Time Business Intelligence

    • Donovan A. Schneider
    Pages 1-3

  3. What Can Hierarchies Do for Data Streams?

    • Xuepeng Yin, Torben Bach Pedersen
    Pages 4-19

  4. Leveraging Distributed Publish/Subscribe Systems for Scalable Stream Query Processing

    • Yongluan Zhou, Kian-Lee Tan, Feng Yu
    Pages 20-33

  5. Transaction Reordering and Grouping for Continuous Data Loading

    • Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael W. Watzke
    Pages 34-49

  6. A Scalable Heterogeneous Solution for Massive Data Collection and Database Loading

    • Uri Shani, Aviad Sela, Alex Akilov, Inna Skarbovski, David Berk
    Pages 50-62

  7. Two-Phase Data Warehouse Optimized for Data Mining

    • Balázs Rácz, Csaba István Sidló, András Lukács, András A. Benczúr
    Pages 63-76

  8. Document-Centric OLAP in the Schema-Chaos World

    • Yannis Sismanis, Berthold Reinwald, Hamid Pirahesh
    Pages 77-91

  9. Callisto: Mergers Without Pain

    • Huong Morris, Hui Liao, Sriram Padmanabhan, Sriram Srinivasan, Eugene Kawamoto, Phay Lau et al.
    Pages 92-105

  10. Real-Time Acquisition of Buyer Behaviour Data – The Smart Shop Floor Scenario

    • Bo Yuan, Maria Orlowska, Shazia Sadiq
    Pages 106-117

  11. Business Process Learning for Real Time Enterprises

    • Rodion Podorozhny, Anne Ngu, Dimitrios Georgakopoulos
    Pages 118-132

  12. An Integrated Approach to Process-Driven Business Performance Monitoring and Analysis for Real-Time Enterprises

    • Jonghun Park, Cheolkyu Jee, Kwanho Kim, Seung-Kyun Han, Duksoon Im, Wan Lee et al.
    Pages 133-142

  13. Quality Contracts for Real-Time Enterprises

    • Alexandros Labrinidis, Huiming Qu, Jie Xu
    Pages 143-156

  14. Back Matter

    Download chapter PDF
Back to top

Other volumes

  1. Business Intelligence for the Real-Time Enterprises

Keywords

About this book

st The 1 Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE nd 2006) was held on September 11, 2006 in conjunction with the 32 International Conference on Very Large Data Bases (VLDB 2006) in Seoul, Korea. The - location with VLDB is very important as the topic of the workshop was centered on different aspects in the lifecycle of business intelligence on very large enterprise-wide operational real-time data sets. In today’s competitive and highly dynamic environment, analyzing data to und- stand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become critical. The traditional approach to reporting is not longer adequate; users now - mand easy-to-use intelligent platforms and applications capable of analyzing real-time business data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, enabled by the availability of up-to-date, high-quality information.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation