000			03053nam a22003495i 4500
001			104036
003			DE-He213
005			20240111050148.0
007			cr nn 008mamaa
008			141227s2015 gw | s |||| 0|eng d
020			_a9783319132129
024	7		_a10.1007/978-3-319-13212-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aQA76.9.D343 2015 EB
100	1		_aAdhikari, Animesh _eautor _9669720
245	1	0	_aAdvances in Knowledge Discovery in Databases _cby Animesh Adhikari, Jhimli Adhikari.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XV, 370 páginas 136 ilustraciones)
490	0		_aIntelligent Systems Reference Library _x1868-4394 ; _v79
505	0		_aIntroduction -- Synthesizing conditional patterns in a database -- Synthesizing arbitrary Boolean expressions induced by frequent itemsets -- Measuring association among items in a database -- Mining association rules induced by item and quantity purchased -- Mining patterns different related databases -- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources -- Clustering items in time-stamped databases -- Synthesizing some extreme association rules from multiple databases -- Clustering local frequency items in multiple data sources -- Mining patterns of select items in different data sources -- Mining calendar-based periodic patterns in time-stamped data -- Measuring influence of an item in time-stamped databases -- Clustering multiple databases induced by local patterns -- Enhancing quality of patterns in multiple related databases -- Concluding remarks.
520	3		_aThis book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.  .
650		7	_aData mining _2embne _9162648
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aAdhikari, Jhimli _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2015059910 _1http://viaf.org/viaf/315611085/
776	0	8	_iEdición impresa: _z9783319132136
776	0	8	_iEdición impresa: _z9783319132112
776	0	8	_iEdición impresa: _z9783319366067
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-13212-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b06/2019 _dz _ek _feng _ggw _h0
999			_c104036 _d104036 _x1