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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 5 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 5 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
VLDB
2004
ACM
128views Database» more  VLDB 2004»
16 years 4 months ago
Operator scheduling in data stream systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
16 years 4 months ago
A gauss function based approach for unbalanced ontology matching
Ontology matching, aiming to obtain semantic correspondences between two ontologies, has played a key role in data exchange, data integration and metadata management. Among numero...
Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
16 years 4 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung