Advances in Computational Algorithms and Data Analysis

  • Sio-Iong Ao
  • Burghard Rieger
  • Su-Shing Chen

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 14)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Toru Yazawa, Katsunori Tanaka
    Pages 1-14
  3. Hrishikesh B. Juvale, Anant S. Mahajan, Ashwin A. Bhagwat, Vishal T. Badiger, Ganesh D. Bhutkar, Priyadarshan S. Dhabe et al.
    Pages 75-79
  4. H.-yu. Tu, Sarah Tasneem
    Pages 99-115
  5. Rekha K. James, K. Poulose Jacob, Sreela Sasi
    Pages 117-131
  6. Nagarajaiah R. Sunitha, Bharat B. R. Amberker, Prashant Koulgi
    Pages 147-157
  7. Muhammad Farooq, Dao Bo Wang, N. U. Dar
    Pages 169-183
  8. Jun Sun, Qiao Sun, Brian Surgenor
    Pages 185-198
  9. Hanafiah Yussof, Masahiro Ohka, Hirofumi Suzuki, Nobuyuki Morisawa
    Pages 199-213
  10. Joseph Auchter, Carl A. Moore, Ashitava Ghosal
    Pages 215-234
  11. Roman Neruda, Stanislav Slušný, Petra Vidnerová
    Pages 235-247
  12. Sanza Kazadi, John Lee
    Pages 249-278
  13. Qazi S. M. Zia-ul-Haque, Zhiliang Wang, Xueyuan Zhang
    Pages 279-292

About this book


Advances in Computational Algorithms and Data Analysis contains revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Computational Algorithms and Data Analysis, which was held in UC Berkeley, California, USA, under the World Congress on Engineering and Computer Science by the International Association of Engineers (IAENG). IAENG is a non-profit international association for the engineers and the computer scientists, found originally in 1968. The book covers a variety of subjects in the frontiers of computational algorithms and data analysis, including topics like Expert system, Machine learning, Intelligent Decision Making, Fuzzy systems, Knowledge-based systems, Knowledge extraction, Large database management, Data analysis tools, Computational Biology, Optimization algorithms, Experiment designs, Complex system identification, Computational Modelling , and industrial applications.

Advances in Computational Algorithms and Data Analysis offers the states of arts of tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.


ARC Algorithms Automat Clustering LA RAM RAR SSI data analysis database modeling programming robot speech recognition

Editors and affiliations

  • Sio-Iong Ao
    • 1
  • Burghard Rieger
    • 2
  • Su-Shing Chen
    • 3
  1. 1.Unit 1, 1/FInternational Association of EngineersHong KongChina
  2. 2.FB II Linguistische Datenverarbeitung ComputerlinguistikUniversität TrierTrierGermany
  3. 3.Department of Computer & Information Science & Engineering (CISE)University of FloridaGainesvilleUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Netherlands 2009
  • Publisher Name Springer, Dordrecht
  • eBook Packages Computer Science
  • Print ISBN 978-1-4020-8918-3
  • Online ISBN 978-1-4020-8919-0
  • Series Print ISSN 1876-1100
  • About this book