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008			171116s2018 gw | s |||| 0|eng d
020			_a9783319675886
024	7		_a10.1007/978-3-319-67588-6 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.P3 _bA383 2018 EB
245	1	0	_aAdvances in Feature Selection for Data and Pattern Recognition _cedited by Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVIII, 328 páginas 37 ilustraciones, 20 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aIntelligent Systems Reference Library, _x1868-4394 _v138
490	0		_aEngineering (Springer-11647)
505	0		_aAn Introduction -- Attribute Selection Based on Reduction of Numerical Attribute During Discretization -- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning -- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach -- Ranking-Based Rule Classifier Optimisation -- Attribute Selection in a Dispersed Decision-Making System -- Feature Selection Approach for Rule-based Knowledge Bases -- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.
520	3		_aThis book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts - nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.
988			_aEBSPRINGER_2018
650		4	_9400080 _aAplicaciones informáticas
700	1		_aStańczyk, Urszula. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2012047521 _1http://viaf.org/viaf/162814280/
700	1		_aZielosko, Beata. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2009005683 _1http://viaf.org/viaf/81690459/
700	1		_aJain, L. C. _0http://id.loc.gov/authorities/names/n95096324 _1http://viaf.org/viaf/307207767/ _952797
776	0	8	_iEdición impresa: _z9783319675879
776	0	8	_iEdición impresa: _z9783319675893
776	0	8	_iEdición impresa: _z9783319884523
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67588-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE