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Sequence Data Mining
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2007.
|
| Edición: | 1st ed. 2007. |
| Colección: | Advances in Database Systems ;
33 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-0-387-69937-0 | ||
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| 005 | 20220120161129.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2007 xxu| s |||| 0|eng d | ||
| 020 | |a 9780387699370 |9 978-0-387-69937-0 | ||
| 024 | 7 | |a 10.1007/978-0-387-69937-0 |2 doi | |
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| 100 | 1 | |a Dong, Guozhu. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Sequence Data Mining |h [electronic resource] / |c by Guozhu Dong, Jian Pei. |
| 250 | |a 1st ed. 2007. | ||
| 264 | 1 | |a New York, NY : |b Springer US : |b Imprint: Springer, |c 2007. | |
| 300 | |a XVI, 150 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Advances in Database Systems ; |v 33 | |
| 505 | 0 | |a Frequent and Closed Sequence Patterns -- Classification, Clustering, Features and Distances of Sequence Data -- Sequence Motifs: Identifying and Characterizing Sequence Families -- Mining Partial Orders from Sequences -- Distinguishing Sequence Patterns -- Related Topics. | |
| 520 | |a 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. . | ||
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Biometric identification. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 1 | 4 | |a Database Management. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Information Storage and Retrieval. |
| 650 | 2 | 4 | |a Computational and Systems Biology. |
| 650 | 2 | 4 | |a Biometrics. |
| 650 | 2 | 4 | |a Computer Communication Networks. |
| 700 | 1 | |a Pei, Jian. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781441943521 |
| 776 | 0 | 8 | |i Printed edition: |z 9780387517858 |
| 776 | 0 | 8 | |i Printed edition: |z 9780387699363 |
| 830 | 0 | |a Advances in Database Systems ; |v 33 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-0-387-69937-0 |z Texto Completo |
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||