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Journeys to Data Mining

Experiences from 15 Renowned Researchers

  • Book
  • © 2012

Overview

Editors:
  1. Mohamed Medhat Gaber

    1. , School of Computing, University of Portsmouth, Portsmouth, United Kingdom

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  • Easily digestible career tips for computer science students
  • Valuable real-world experience on how to deal with successes and failures in research
  • Narrative presentation by renowned data mining researchers
  • Includes supplementary material: sn.pub/extras

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction

    • Mohamed Medhat Gaber
    Pages 1-11

  3. Data Mining: A Lifetime Passion

    • Dean Abbott
    Pages 13-25

  4. From Combinatorial Optimization to Data Mining

    • Charu C. Aggarwal
    Pages 27-42

  5. From Patterns to Discoveries

    • Michael R. Berthold
    Pages 43-49

  6. Discovering Privacy

    • Chris Clifton
    Pages 51-59

  7. Driving Full Speed, Eyes on the Rear-View Mirror

    • John F. Elder IV
    Pages 61-75

  8. Voyages of Discovery

    • David J. Hand
    Pages 77-91

  9. A Field by Any Other Name

    • Cheryl G. Howard
    Pages 93-100

  10. An Unusual Journey to Exciting Data Mining Applications

    • J. Dustin Hux
    Pages 101-109

  11. Making Data Analysis Ubiquitous: My Journey Through Academia and Industry

    • Hillol Kargupta
    Pages 111-130

  12. Operational Security Analytics: My Path of Discovery

    • Colleen McLaughlin McCue
    Pages 131-146

  13. An Enduring Interest in Classification: Supervised and Unsupervised

    • G. J. McLachlan
    Pages 147-171

  14. The Journey of Knowledge Discovery

    • Gregory Piatetsky-Shapiro
    Pages 173-196

  15. Data Mining: From Medical Decision Support to Hospital Management

    • Shusaku Tsumoto
    Pages 197-210

  16. Rattle and Other Data Mining Tales

    • Graham J. Williams
    Pages 211-229

  17. A Journey in Pattern Mining

    • Mohammed J. Zaki
    Pages 231-241
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Keywords

About this book

Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced core results for applications like business intelligence, spatio-temporal data analysis, bioinformatics, and stream data processing.

The fifteen contributors to this volume are successful and well-known data mining scientists and professionals. Although by no means an exhaustive list, all of them have helped the field to gain the reputation and importance it enjoys today, through the many valuable contributions they have made. Mohamed Medhat Gaber has asked them (and many others) to write down their journeys through the data mining field, trying to answer the following questions:

1. What are your motives for conducting research in the data mining field?
2. Describe the milestones of your research in this field.
3. What are your notable success stories?
4. How did you learn from your failures?
5. Have you encountered unexpected results?
6. What are the current research issues and challenges in your area?
7. Describe your research tools and techniques.
8. How would you advise a young researcher to make an impact?
9. What do you predict for the next two years in your area?
10. What are your expectations in the long term?

In order to maintain the informal character of their contributions, they were given complete freedom as to how to organize their answers. This narrative presentation style provides PhD students and novices who are eager to find their way to successful research in data mining with valuable insights into career planning. In addition, everyone else interested in the history of computer science may be surprised about the stunning successes and possible failures computer science careers (still) have to offer.

Editors and Affiliations

  • , School of Computing, University of Portsmouth, Portsmouth, United Kingdom

    Mohamed Medhat Gaber

About the editor

Dr Mohamed Medhat Gaber is a Senior Lecturer at the University of Portsmouth, UK. He received his PhD from Monash University, Australia in 2006. He then held appointments with the University of Sydney, CSIRO, and Monash University, all in Australia. He has published more than 70 papers and edited/co-edited three books on data mining and knowledge discovery. Mohamed has served in the program committees of major conferences related to data mining, including ICDM, PAKDD, ECML/PKDD and ICML. He is recognized as a fellow of the UK Higher Education Academy (HEA); and he is also a member of the International Panel of Expert Advisers for the Australasian Data Mining Conferences. In 2007, Mohamed was awarded the CSIRO teamwork award.

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