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109
Voted
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 9 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
122
Voted
CIKM
2009
Springer
15 years 9 months ago
Completing wikipedia's hyperlink structure through dimensionality reduction
Wikipedia is the largest monolithic repository of human knowledge. In addition to its sheer size, it represents a new encyclopedic paradigm by interconnecting articles through hyp...
Robert West, Doina Precup, Joelle Pineau
127
Voted
ICAIL
2009
ACM
15 years 9 months ago
Integrating induction and deduction for finding evidence of discrimination
Automatic Decision Support Systems (DSS) are widely adopted for screening purposes in socially sensitive tasks, including access to credit, mortgage, insurance, labor market and o...
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
142
Voted
SSDBM
1999
IEEE
118views Database» more  SSDBM 1999»
15 years 6 months ago
Evaluation of Ad Hoc OLAP: In-Place Computation
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
Damianos Chatziantoniou
125
Voted
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 6 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...