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020 _a9781848002012
_99781848002012
024 7 _a10.1007/9781848002012
_2doi
035 _avtls000344211
039 9 _a201509030405
_bVLOAD
_c201405050304
_dVLOAD
_y201402061251
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.D343
100 1 _aSimovici, Dan A.
_eautor
_9322236
245 1 0 _aMathematical Tools for Data Mining :
_bSet Theory, Partial Orders, Combinatorics /
_cby Dan A. Simovici, Chabane Djeraba.
264 1 _aLondon :
_bSpringer London,
_c2008.
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 _aAdvanced Information and Knowledge Processing
500 _aSpringer eBooks
505 0 _aSet Theory -- Sets, Relations, and Functions -- Algebras -- Graphs and Hypergraphs -- Partial Orders -- Partially Ordered Sets -- Lattices and Boolean Algebras -- Topologies and Measures -- Frequent Item Sets and Association Rules -- Applications to Databases and Data Mining -- Rough Sets -- Metric Spaces -- Dissimilarities, Metrics, and Ultrametrics -- Topologies and Measures on Metric Spaces -- Dimensions of Metric Spaces -- Clustering -- Combinatorics -- Combinatorics -- The Vapnik-Chervonenkis Dimension.
520 _aThe maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in data mining research. This book presents these mathematical foundations of data mining integrated with applications to provide the reader with a comprehensive reference. Mathematics is presented in a thorough and rigorous manner offering a detailed explanation of each topic, with applications to data mining such as frequent item sets, clustering, decision trees also being discussed. More than 400 exercises are included and they form an integral part of the material. Some of the exercises are in reality supplemental material and their solutions are included. The reader is assumed to have a knowledge of elementary analysis. Features and topics: • Study of functions and relations • Applications are provided throughout • Presents graphs and hypergraphs • Covers partially ordered sets, lattices and Boolean algebras • Finite partially ordered sets • Focuses on metric spaces • Includes combinatorics • Discusses the theory of the Vapnik-Chervonenkis dimension of collections of sets This wide-ranging, thoroughly detailed volume is self-contained and intended for researchers and graduate students, and will prove an invaluable reference tool.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aDjeraba, Chabane.
_eautor
_9322237
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781848002005
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-201-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291110
_d291110