Monday, March 22, 2010

Sequence Data Mining

Sequence Data Mining (Advances in Database Systems)

Guozhu Dong, Jian Pei, "Sequence Data Mining (Advances in Database Systems)"
Springer; 1 edition (August 9, 2007) | English | 0387699368 | 152 pages | PDF | 1.36 MB

Understanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more.
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.



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