Journeys to Data Mining

Journeys to Data Mining
Author :
Publisher : Springer Science & Business Media
Total Pages : 241
Release :
ISBN-10 : 9783642280474
ISBN-13 : 3642280471
Rating : 4/5 (471 Downloads)

Book Synopsis Journeys to Data Mining by : Mohamed Medhat Gaber

Download or read book Journeys to Data Mining written by Mohamed Medhat Gaber and published by Springer Science & Business Media. This book was released on 2012-07-20 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Journeys to Data Mining Related Books

Journeys to Data Mining
Language: en
Pages: 241
Authors: Mohamed Medhat Gaber
Categories: Computers
Type: BOOK - Published: 2012-07-20 - Publisher: Springer Science & Business Media

GET EBOOK

Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendousl
Next Generation of Data Mining
Language: en
Pages: 640
Authors: Hillol Kargupta
Categories: Computers
Type: BOOK - Published: 2008-12-24 - Publisher: CRC Press

GET EBOOK

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generatio
Data Mining with Rattle and R
Language: en
Pages: 382
Authors: Graham Williams
Categories: Mathematics
Type: BOOK - Published: 2011-08-04 - Publisher: Springer Science & Business Media

GET EBOOK

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increas
Introduction to Data Mining and Analytics
Language: en
Pages: 687
Authors: Kris Jamsa
Categories: Computers
Type: BOOK - Published: 2020-02-03 - Publisher: Jones & Bartlett Learning

GET EBOOK

Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated cre
Contemporary Perspectives in Data Mining, Volume 2
Language: en
Pages: 237
Authors: Kenneth D. Lawrence
Categories: Mathematics
Type: BOOK - Published: 2015-07-01 - Publisher: IAP

GET EBOOK

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will