Journeys to Data Mining
Experiences from 15 Renowned Researchers
Editors: Gaber, Mohamed Medhat (Ed.)
Free Preview- 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
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- About this book
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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?
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.
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? - About the authors
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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.
- Table of contents (16 chapters)
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Introduction
Pages 1-11
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Data Mining: A Lifetime Passion
Pages 13-25
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From Combinatorial Optimization to Data Mining
Pages 27-42
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From Patterns to Discoveries
Pages 43-49
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Discovering Privacy
Pages 51-59
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Table of contents (16 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Journeys to Data Mining
- Book Subtitle
- Experiences from 15 Renowned Researchers
- Editors
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- Mohamed Medhat Gaber
- Copyright
- 2012
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-28047-4
- DOI
- 10.1007/978-3-642-28047-4
- Hardcover ISBN
- 978-3-642-28046-7
- Softcover ISBN
- 978-3-642-42880-7
- Edition Number
- 1
- Number of Pages
- VIII, 244
- Topics
