000			01051cam a2200193 i 4500
020			_a9780749479558 (alk. paper)
082	0	0	_a658.05467 _bSTR
100	1		_aStruhl, Steven M.,
245	1	0	_aArtificial intelligence marketing and predicting consumer choice : _ban overview of tools and techniques / _cSteven Struhl.
250			_a1st Edition.
260			_aLondon: _bKogan Page, _c2017.
300			_axiii, 254 pages ;
504			_aIncludes bibliographical references and index.
505	0		_aPreface -- Who should read this book and why? -- Getting the project going -- Conjoint, discrete choice and other trade-offs : let's do an experiment -- Creating the best, newest thing : discrete choice modelling -- Conjoint analysis and its uses -- Predictive models 2: Classifications that grow on trees -- Remarkable predictive models with Bayes Nets -- Putting it together : what to use when -- Index.
650		0	_aE-business _aE-commerce _aMarketing research.
650		0	_aConsumer behavior.
650		0	_aArtificial intelligence.
942			_cBK
999			_c580849 _d580849