000			02727nam a22004215i 4500
710	2		_aSpringerLink (Online service) _0Local _9106996
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008			150909s2016 gw | s |||| 0|eng d
020			_a9783319236964
040			_aES-MaUEC
050		4	_aQA76.9.S88 _bL584 2016
082	0	4	_a006.3
100	1		_aLiu, Han. _997557 _0Local
245	1	0	_aRule Based Systems for Big Data : _bA Machine Learning Approach _cby Han Liu, Alexander Gegov, Mihaela Cocea
250			_a1st ed. 2015.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 121 páginas) _b38 ilustraciones, 5 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Big Data _x2197-6503 _v13
505	0		_aIntroduction -- Theoretical Preliminaries -- Generation of Classification Rules -- Simplification of Classification Rules -- Representation of Classification Rules -- Ensemble Learning Approaches -- Interpretability Analysis.
520	3		_aThe ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
650		7	_aAprendizaje automático _0(OCoLC)1004795 _2embne _0 _9166090
700	1		_aGegov, Alexander _0Local _997558
700	1		_aCocea, Mihaela _0Local _997559
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-23696-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319236964
907			_a.b12942340 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQA76.9.S88 L584 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11586679 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0