000			02802nam a22005295i 4500
001			978-3-642-22813-1
003			DE-He213
005			20140220083300.0
007			cr nn 008mamaa
008			120103s2012 gw | s |||| 0|eng d
020			_a9783642228131 _9978-3-642-22813-1
024	7		_a10.1007/978-3-642-22813-1 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aHe, Jingrui. _eauthor.
245	1	0	_aAnalysis of Rare Categories _h[electronic resource] / _cby Jingrui He.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012.
300			_aVIII, 135p. 43 illus., 10 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		_aCognitive Technologies, _x1611-2482
505	0		_aIntroduction -- Survey and Overview -- Rare Category Detection -- Rare Category Characterization -- Unsupervised Rare Category Analysis -- Conclusion and Future Directions.
520			_aIn many real-world problems, rare categories (minority classes) play essential roles despite their extreme scarcity. The discovery, characterization and prediction of rare categories of rare examples may protect us from fraudulent or malicious behavior, aid scientific discovery, and even save lives. This book focuses on rare category analysis, where the majority classes have smooth distributions, and the minority classes exhibit the compactness property. Furthermore, it focuses on the challenging cases where the support regions of the majority and minority classes overlap. The author has developed effective algorithms with theoretical guarantees and good empirical results for the related techniques, and these are explained in detail. The book is suitable for researchers in the area of artificial intelligence, in particular machine learning and data mining.
650		0	_aComputer science.
650		0	_aData structures (Computer science).
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aEngineering.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aComputational Intelligence.
650	2	4	_aData Structures, Cryptology and Information Theory.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642228124
830		0	_aCognitive Technologies, _x1611-2482
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-22813-1
912			_aZDB-2-SCS
999			_c102091 _d102091