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WWW
2006
ACM
16 years 16 days ago
FeedEx: collaborative exchange of news feeds
As most blogs and traditional media support RSS or Atom feeds, the news feed technology becomes increasingly prevalent. Taking advantage of ubiquitous news feeds, we design FeedEx...
Seung Jun, Mustaque Ahamad
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 8 days ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 8 days ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
16 years 12 hour ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 6 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava