000			02013nam a22004935i 4500
001			978-1-4614-3085-8
003			DE-He213
005			20140220083246.0
007			cr nn 008mamaa
008			120406s2012 xxu| s |||| 0|eng d
020			_a9781461430858 _9978-1-4614-3085-8
024	7		_a10.1007/978-1-4614-3085-8 _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		_aBerk, Richard. _eauthor.
245	1	0	_aCriminal Justice Forecasts of Risk _h[electronic resource] : _bA Machine Learning Approach / _cby Richard Berk.
264		1	_aNew York, NY : _bSpringer New York, _c2012.
300			_aIX, 115p. 22 illus., 21 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		_aSpringerBriefs in Computer Science, _x2191-5768
505	0		_aGetting Started -- Some Important Background Material -- A Conceptual Introduction to Classification and Forecasting -- A More Formal Treatment of Classification and Forecasting -- Tree-Based Forecasting Methods -- Examples -- Implementation -- Some Concluding Observations About Actuarial Justice and More -- References.
520			_an/a
650		0	_aComputer science.
650		0	_aArtificial intelligence.
650		0	_aMathematical statistics.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aProbability and Statistics in Computer Science.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461430841
830		0	_aSpringerBriefs in Computer Science, _x2191-5768
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-3085-8
912			_aZDB-2-SCS
999			_c101298 _d101298