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» A probabilistic framework for semi-supervised clustering
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
IPCCC
2007
IEEE
14 years 2 months ago
Optimal Cluster Head Selection in the LEACH Architecture
LEACH (Low Energy Adaptive Clustering Hierarchy) [1] is one of the popular cluster-based structures, which has been widely proposed in wireless sensor networks. LEACH uses a TDMA ...
Haiming Yang, Biplab Sikdar
WISE
2005
Springer
14 years 1 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
SIGIR
2005
ACM
14 years 1 months ago
A probabilistic model for retrospective news event detection
Retrospective news event detection (RED) is defined as the discovery of previously unidentified events in historical news corpus. Although both the contents and time information...
Zhiwei Li, Bin Wang, Mingjing Li, Wei-Ying Ma
NIPS
2004
13 years 9 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark