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Journeys To Data Mining Experiences From 15 Renowned Researchers 1st Edition Mohamed Medhat Gaber Auth

  • SKU: BELL-2628286
Journeys To Data Mining Experiences From 15 Renowned Researchers 1st Edition Mohamed Medhat Gaber Auth
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Journeys To Data Mining Experiences From 15 Renowned Researchers 1st Edition Mohamed Medhat Gaber Auth instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 2.09 MB
Pages: 244
Author: Mohamed Medhat Gaber (auth.), Mohamed Medhat Gaber (eds.)
ISBN: 9783642280474, 3642280471
Language: English
Year: 2012
Edition: 1

Product desciption

Journeys To Data Mining Experiences From 15 Renowned Researchers 1st Edition Mohamed Medhat Gaber Auth by Mohamed Medhat Gaber (auth.), Mohamed Medhat Gaber (eds.) 9783642280474, 3642280471 instant download after payment.

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.

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