Journeys to Data Mining

Mohamed Medhat Gaber

ISBN 10: 3642280463 / ISBN 13: 9783642280467

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012, 2012

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.

Codice articolo 9783642280467

Dati bibliografici

• Titolo: Journeys to Data Mining
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3642280463
• ISBN 13: 9783642280467
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 19 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 19 millimetri di profondità
• Peso: 547 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.