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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 11 months ago
User grouping behavior in online forums
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
PODS
2009
ACM
112views Database» more  PODS 2009»
15 years 11 months ago
Optimal sampling from sliding windows
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
15 years 11 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 11 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 11 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...
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