@techreport{TD:100955,
	att_abstract={{Data quality issues have special implications in network data. Data glitches are 
propagated rapidly along pathways dictated by the hierarchy and topology of the
network. In this paper, we use temporal data from a vast data network to study data glitches and
their effect on network monitoring tasks such as anomaly detection. We demonstrate
the consequences of 
cleaning the data, and  develop targeted and
customized cleaning strategies by exploiting the network hierarchy. }},
	att_authors={jl213k, td3863},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2012 {{, 2012-12-15}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={glitches,  missing data,  network data,  outliers},
	att_techdoc={true},
	att_techdoc_key={TD:100955},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100955_DS1_2012-08-08T20:09:17.878Z.pdf},
	author={Ji Loh and Tamraparni Dasu},
	institution={{ICDM 2012}},
	month={December},
	title={{Effect of Data Repair on Mining Network Streams}},
	year=2012,
}