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» CURE: An Efficient Clustering Algorithm for Large Databases
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KDD
2006
ACM
201views Data Mining» more  KDD 2006»
16 years 4 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
196
Voted
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
16 years 3 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
113
Voted
ACSAC
2001
IEEE
15 years 7 months ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
134
Voted
DASFAA
2009
IEEE
173views Database» more  DASFAA 2009»
15 years 7 months ago
A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs
Graph-structured databases and related problems such as reachability query processing have been increasingly relevant to many applications such as XML databases, biological databas...
Linhong Zhu, Byron Choi, Bingsheng He, Jeffrey Xu ...
126
Voted
SAC
2008
ACM
15 years 3 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod