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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 1 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
94
Voted
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 1 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
109
Voted
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 1 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
203
Voted
SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
16 years 23 days ago
DiMaC: a system for cleaning disguised missing data
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
121
Voted
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
15 years 25 days ago
Leveraging spatio-temporal redundancy for RFID data cleansing
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...