Sequence Data Mining. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2010
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Descrizione dell’articolo da parte del venditore
Sequence Data Mining | Guozhu Dong (u. a.) | Taschenbuch | Advances in Database Systems | xvi | Englisch | 2010 | Springer | EAN 9781441943521 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Codice articolo 107218909
- Titolo
- Sequence Data Mining
- Autore
- Guozhu Dong (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2010
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 1441943528
- ISBN 13
- 9781441943521
- Peso dell'articolo
- 265 grammi
- Dimensioni
- 235 x 155 x 10 mm
- Serie
- Libro 24 di 42: Advances in Database Systems
- Cataloghi dei venditori
- Bücher
This book 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 volume fills in the gap, allowing readers to access the 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.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
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.
Forward by Professor Jiawei Han, University of Illinois at Urbana-Champaign.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.