000 02681nam a22004455i 4500
001 978-3-642-20995-6
003 DE-He213
005 20140220083802.0
007 cr nn 008mamaa
008 110713s2011 gw | s |||| 0|eng d
020 _a9783642209956
_9978-3-642-20995-6
024 7 _a10.1007/978-3-642-20995-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aMoshkov, Mikhail.
_eauthor.
245 1 0 _aCombinatorial Machine Learning
_h[electronic resource] :
_bA Rough Set Approach /
_cby Mikhail Moshkov, Beata Zielosko.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXIV, 182 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v360
520 _aDecision trees and decision rule systems are widely used in different applications as algorithms for problem solving, as predictors, and as a way for knowledge representation. Reducts play key role in the problem of attribute (feature) selection. The aims of this book are (i) the consideration of the sets of decision trees, rules and reducts; (ii) study of relationships among these objects; (iii) design of algorithms for construction of trees, rules and reducts; and (iv) obtaining bounds on their complexity. Applications for supervised machine learning, discrete optimization, analysis of acyclic programs, fault diagnosis, and pattern recognition are considered also. This is a mixture of research monograph and lecture notes. It contains many unpublished results. However, proofs are carefully selected to be understandable for students. The results considered in this book can be useful for researchers in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and logical analysis of data. The book can be used in the creation of courses for graduate students.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aZielosko, Beata.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642209949
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v360
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-20995-6
912 _aZDB-2-ENG
999 _c107883
_d107883