000			02764nam a22005295i 4500
001			978-3-319-23696-4
003			DE-He213
005			20200420220219.0
007			cr nn 008mamaa
008			150909s2016 gw | s |||| 0|eng d
020			_a9783319236964 _9978-3-319-23696-4
024	7		_a10.1007/978-3-319-23696-4 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aLiu, Han. _eauthor.
245	1	0	_aRule Based Systems for Big Data _h[electronic resource] : _bA Machine Learning Approach / _cby Han Liu, Alexander Gegov, Mihaela Cocea.
250			_a1st ed. 2015.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXIII, 121 p. 38 illus., 5 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_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			_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		0	_aEngineering.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aData Mining and Knowledge Discovery.
700	1		_aGegov, Alexander. _eauthor.
700	1		_aCocea, Mihaela. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319236957
830		0	_aStudies in Big Data, _x2197-6503 ; _v13
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-23696-4
912			_aZDB-2-ENG
942			_cEBK
999			_c51792 _d51792