Overview
- 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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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?
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Keywords
Table of contents (16 chapters)
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Front Matter
Editors and Affiliations
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.
Bibliographic Information
Book Title: Journeys to Data Mining
Book Subtitle: Experiences from 15 Renowned Researchers
Editors: Mohamed Medhat Gaber
DOI: https://doi.org/10.1007/978-3-642-28047-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-28046-7Published: 21 July 2012
Softcover ISBN: 978-3-642-42880-7Published: 09 August 2014
eBook ISBN: 978-3-642-28047-4Published: 20 July 2012
Edition Number: 1
Number of Pages: VIII, 244
Topics: Information Storage and Retrieval, Artificial Intelligence, Natural Language Processing (NLP), Probability and Statistics in Computer Science, The Computing Profession