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020 _a9780387699370
_99780387699370
024 7 _a10.1007/9780387699370
_2doi
035 _avtls000332045
039 9 _a201509030733
_bVLOAD
_c201404122015
_dVLOAD
_c201404091741
_dVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.D343
100 1 _aDong, Guozhu.
_eautor
_9304584
245 1 0 _aSequence Data Mining /
_cby Guozhu Dong, Jian Pei.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Database Systems,
_x1386-2944 ;
_v33
500 _aSpringer eBooks
505 0 _aFrequent 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 _aUnderstanding 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPei, Jian.
_eautor
_9304585
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387699363
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-69937-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c279970
_d279970