@techreport{TD:83T583,
	att_abstract={{We present Data Auditor, a tool for exploring data quality and semantics. Data Auditor provides a variety of semantic rule (constraint) classes for asserting consistency and completeness properties of the data.  It can be used to test hypotheses by instantiating rules over supplied sets of attributes, to see if such rules hold or fail (to a required degree) on a minimum fraction of the data. Regions of the data for which the rule is satisfied (alternatively, violated) are concisely and meaningfully summarized in a tableau. }},
	att_authors={lg1173, hk1971, pk1785, ds8961},
	att_categories={},
	att_copyright={{}},
	att_copyright_notice={{}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:83T583},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:83T583_DS1_2010-08-25T02:59:27.043Z.pdf},
	author={Lukasz Golab and Howard Karloff and Philip Korn and Divesh Srivastava},
	institution={{}},
	month={March},
	title={{Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux}},
	year=2010,
}