000			01710nam a2200289Ia 4500
001			on1235950428
003			OCoLC
007			ta
008			210203r20132012caua 001 0 eng d
020			_a9781449321888
020			_a1449321887
035			_a(OCoLC)1235950428
040			_aTULIB _btha _cTULIB
050			_aQA76.9.D3 _bM337 2013
100	1		_aMcCallum, Q. Ethan.
245	1	0	_aBad data handbook / _cQ. Ethan McCallum.
260			_aSebastopol, CA : _bO'Reilly, _c2013.
300			_axvi, 245 p. : _bill.
500			_aReprint. Originally published: 2012.
504			_aIncludes bibliographical references and index.
505	0		_aSetting the pace : what is bad data? -- Is it just me, or does this data smell funny? -- Data intended for human consumption, not machine consumption -- Bad data lurking in plain text -- (Re)organizing the web's data -- Detecting liars and the confused in contradictory online reviews -- Will the bad data please stand up? -- Blood, sweat, and urine -- When data and reality don't match -- Subtle sources of bias and error -- Don't let the perfect be the enemy of the good : is bad data really bad? -- When databases attack : a guide for when to stick to files -- Crouching table, hidden network -- Myths of cloud computing -- The dark side of data science -- How to feed and care for your machine-learning experts -- Data traceability -- Social media : erasable ink? -- Data quality analysis demystified : knowing when your data is good enough.
650		4	_aDatabase management _xHandbooks, manuals, etc.
650		4	_aElectronic data processing _xHandbooks, manuals, etc.
650		4	_aData editing.
650		4	_aDatabases _xQuality control.
942			_2lcc _cBK
999			_c261 _d261