000			02114nam a22003375i 4500
001			102760
003			DE-He213
005			20230102113058.0
007			cr nn 008mamaa
008			171228s2018 gw | s |||| 0|eng d
020			_a9783319701608
024	7		_a10.1007/978-3-319-70160-8 _2doi
050		4	_aQ342 EB
100	1		_aLeitão, João _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nb2009020577 _1http://viaf.org/viaf/12303244/
245	1	0	_aIdentifying Patterns in Financial Markets _bNew Approach Combining Rules Between PIPs and SAX _cby João Leitão, Rui Ferreira Neves, Nuno C.G. Horta.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVII, 66 páginas 69 ilustraciones)
347			_atext file _bPDF
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3704
505	0		_aIntroduction -- Related Work -- SIR/GA approach -- Case studies.
520	3		_aThis book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA). The proposed approach was tested with real data from S&P500 index and all the results obtained outperform the Buy&Hold strategy. Three different case studies are presented by the authors.
650		7	_aArquitectura de software _9453538
700	1		_aNeves, Rui Ferreira _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/86828847/ _998635
700	1		_aHorta, Nuno C. G. _0http://id.loc.gov/authorities/names/no2010146611 _1http://viaf.org/viaf/120864246/
776	0	8	_iEdición impresa: _z9783319701592
776	0	8	_iEdición impresa: _z9783319701615
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-70160-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b01/2019 _dz _ep _feng _ggw _h0
999			_c102760 _d102760 _x1