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KDD
2007
ACM
158views Data Mining» more  KDD 2007»
16 years 5 months ago
Evolutionary spectral clustering by incorporating temporal smoothness
Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, B...
140
Voted
SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
15 years 9 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
176
Voted
DSN
2005
IEEE
15 years 10 months ago
TIBFIT: Trust Index Based Fault Tolerance for Arbitrary Data Faults in Sensor Networks
Since sensor data gathering is the primary functionality of sensor networks, it is important to provide a fault tolerant method for reasoning about sensed events in the face of ar...
Mark D. Krasniewski, Padma Varadharajan, Bryan Rab...
DEBU
1998
100views more  DEBU 1998»
15 years 4 months ago
Interoperability, Distributed Applications and Distributed Databases: The Virtual Table Interface
Users of distributed databases and of distributed application frameworks require interoperation of heterogeneous data and components, respectively. In this paper, we examine how a...
Michael Stonebraker, Paul Brown, Martin Herbach
167
Voted
PAMI
2008
197views more  PAMI 2008»
15 years 4 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...