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» CURE: An Efficient Clustering Algorithm for Large Databases
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CCGRID
2006
IEEE
15 years 7 months ago
Density-Based Clustering for Similarity Search in a P2P Network
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of ...
Mouna Kacimi, Kokou Yétongnon
155
Voted
EDBT
2010
ACM
206views Database» more  EDBT 2010»
15 years 11 months ago
Efficient computation of trade-off skylines
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Christoph Lofi, Ulrich Güntzer, Wolf-Tilo Bal...
DEXA
2004
Springer
190views Database» more  DEXA 2004»
15 years 9 months ago
On Efficient and Effective Association Rule Mining from XML Data
: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently and effectively. In XAR-Miner, raw XML data are first transformed to either...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Mi...
JCST
2008
121views more  JCST 2008»
15 years 4 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 5 months ago
COLR-Tree: Communication-Efficient Spatio-Temporal Indexing for a Sensor Data Web Portal
Abstract-- We present COLR-Tree, an abstraction layer designed to support efficient spatio-temporal queries on live data gathered from a large collection of sensors. We use COLR-Tr...
Yanif Ahmad, Suman Nath