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ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
16 years 1 months ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng
162
Voted
CLUSTER
2000
IEEE
15 years 11 months ago
From Metacomputing to Metabusiness Processing
The importance of large-scale electrical business processing is increasing today as recent Internet technologies build on the basic infrastructure. Simply integrating existing tec...
Li-jie Jin, Andrew S. Grimshaw
IPPS
2005
IEEE
16 years 8 days ago
Partial Clustering: Maintaining Connectivity in a Low Duty-Cycled Dense Wireless Sensor Network
— We consider a dense wireless sensor network where the radio transceivers of the sensor nodes are heavily duty-cycled in order to conserve energy. The chief purpose of the senso...
Chih-fan Hsin, Mingyan Liu
CIKM
2004
Springer
16 years 2 days ago
Organizing structured web sources by query schemas: a clustering approach
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...
Bin He, Tao Tao, Kevin Chen-Chuan Chang
VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...