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001			291729
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007			cr nn 008mamaa
008			150903s2005 xxk| o |||| 0|eng d
020			_a9781846282843 _99781846282843
024	7		_a10.1007/1846282845 _2doi
035			_avtls000343784
039		9	_a201509030750 _bVLOAD _c201404121004 _dVLOAD _c201404090741 _dVLOAD _y201402061204 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ334-342
100	1		_aBandyopadhyay, Sanghamitra. _eautor _9323158
245	1	0	_aAdvanced Methods for Knowledge Discovery from Complex Data / _cby Sanghamitra Bandyopadhyay, Ujjwal Maulik, Lawrence B. Holder, Diane J. Cook.
264		1	_aLondon : _bSpringer London, _c2005.
300			_axviii, 369 páginas 120 ilustraciones _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		_aFoundations -- Knowledge Discovery and Data Mining -- Automatic Discovery of Class Hierarchies via Output Space Decomposition -- Graph-based Mining of Complex Data -- Predictive Graph Mining with Kernel Methods -- TreeMiner: An Efficient Algorithm for Mining Embedded Ordered Frequent Trees -- Sequence Data Mining -- Link-based Classification -- Applications -- Knowledge Discovery from Evolutionary Trees -- Ontology-Assisted Mining of RDF Documents -- Image Retrieval using Visual Features and Relevance Feedback -- Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detection -- On-board Mining of Data Streams in Sensor Networks -- Discovering an Evolutionary Classifier over a High-speed Nonstatic Stream.
520			_aAdvanced Methods for Knowledge Discovery from Complex Data brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bioinformatics data. An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining, including descriptions of some currently popular tools like genetic algorithms, neural networks and case-based reasoning. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks. With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field. A website supports the book: http://www.cse.uta.edu/amkdcd.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aMaulik, Ujjwal. _eautor _9323159
700	1		_aHolder, Lawrence B. _eautor _9323160
700	1		_aCook, Diane J. _eautor _9323161
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781852339890
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-84628-284-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c291729 _d291729