000			02800cam a2200337 i 4500
001			16277740
003			EG-ScBUE
005			20241111100101.0
008			100611t2010 enka f b 001 0 eng d
020			_a9781848822597
020			_a1848822596
040			_aUKM _beng _erda _cUKM _dBTCTA _dYDXCP _dC#P _dCDX _dBWX _dSNK _dUKMGB _dDLC _dEG-ScBUE
082	0	4	_a519.5 _222 _bGUI
245	0	0	_aGuide to intelligent data analysis : _bhow to intelligently make sense of real data / _cMichael R. Berthold [and three others]
264		1	_aLondon : _bSpringer-Verlag, _c[2010]
264		4	_cc2010
300			_axiii, 394 pages : _billustrations ; _c24 cm.
336			_2rdacontent _atext _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _bnc _2rdacarrier
490	0		_aTexts in computer science
504			_aIncludes bibliographical references and index.
520	1		_a"Each passing bear bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data." "Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable." "To avoid the danger of "drowning in information, but starving for knowledge" the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems." "This practical and systematic textbook/reference for graduate and advanced undergradate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it."--BOOK JACKET.
650		7	_aMathematical statistics. _2BUEsh _97173
650		7	_aMathematical statistics _xData processing. _2BUEsh _920131
650		7	_aArtificial intelligence. _2BUEsh _9529
653			_bCOMSCI _cSeptember2016
655			_vReading book
700	1		_aBerthold, M. _q(Michael) _eauthor.
942			_2ddc _cBB
999			_c22312 _d22284