Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as pattern types and associated pattern mining methods. While there are several books on data mining and sequence data analysis, currently there are no books that balance both of these topics. This professional volume fills in the gap, allowing readers to access state-of-the-art results in one place.
Sequence Data Mining is designed for professionals working in bioinformatics, genomics, web services, and financial data analysis. This book is also suitable for advanced-level students in computer science and bioengineering.
Forward by Professor Jiawei Han, University of Illinois at Urbana-Champaign.
Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as pattern types and associated pattern mining methods. While there are several books on data mining and sequence data analysis, currently there are no books that balance both of these topics. This professional volume fills in the gap, allowing readers to access state-of-the-art results in one place.
Sequence Data Mining is designed for professionals working in bioinformatics, genomics, web services, and financial data analysis. This book is also suitable for advanced-level students in computer science and bioengineering.
Forward by Professor Jiawei Han, University of Illinois at Urbana-Champaign.
Sequence Data Mining
150
Sequence Data Mining
150Paperback(Softcover reprint of hardcover 1st ed. 2007)
Product Details
| ISBN-13: | 9781441943521 |
|---|---|
| Publisher: | Springer US |
| Publication date: | 11/23/2010 |
| Series: | Advances in Database Systems , #33 |
| Edition description: | Softcover reprint of hardcover 1st ed. 2007 |
| Pages: | 150 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.01(d) |