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» A practical method for courseware evaluation
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 8 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
SIGMOD
2009
ACM
215views Database» more  SIGMOD 2009»
14 years 7 months ago
Efficient type-ahead search on relational data: a TASTIER approach
Existing keyword-search systems in relational databases require users to submit a complete query to compute answers. Often users feel "left in the dark" when they have l...
Guoliang Li, Shengyue Ji, Chen Li, Jianhua Feng
EUROSYS
2007
ACM
14 years 4 months ago
Exploiting nonstationarity for performance prediction
Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transactio...
Christopher Stewart, Terence Kelly, Alex Zhang
IMC
2009
ACM
14 years 2 months ago
Scalable proximity estimation and link prediction in online social networks
Proximity measures quantify the closeness or similarity between nodes in a social network and form the basis of a range of applications in social sciences, business, information t...
Han Hee Song, Tae Won Cho, Vacha Dave, Yin Zhang, ...
SIGIR
2009
ACM
14 years 2 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero