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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 9 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
179
Voted
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 6 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
16 years 13 days ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
BMCBI
2006
137views more  BMCBI 2006»
15 years 6 months ago
Curation of complex, context-dependent immunological data
Background: The Immune Epitope Database and Analysis Resource (IEDB) is dedicated to capturing, housing and analyzing complex immune epitope related data http:// www.immuneepitope...
Randi Vita, Kerrie Vaughan, Laura Zarebski, Nima S...
JSS
2000
123views more  JSS 2000»
15 years 6 months ago
Approaches for broadcasting temporal data in mobile computing systems
Rapid advances in mobile communication technology have spawned many new mobile applications. A key element in many of these systems is the need to distribute real-time information...
Kam-yiu Lam, Edward Chan, Joe Chun-Hung Yuen