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KDD
1999
ACM
99views Data Mining» more  KDD 1999»
15 years 4 months ago
On the Merits of Building Categorization Systems by Supervised Clustering
This paper investigates the use of supervised clustering in order to create sets of categories for classi cation of documents. We use information from a pre-existing taxonomy in o...
Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
ACSC
2005
IEEE
15 years 5 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 4 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
IEEEPACT
1999
IEEE
15 years 4 months ago
A Cost-Effective Clustered Architecture
In current superscalar processors, all floating-point resources are idle during the execution of integer programs. As previous works show, this problem can be alleviated if the fl...
Ramon Canal, Joan-Manuel Parcerisa, Antonio Gonz&a...
DAC
1999
ACM
16 years 21 days ago
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization
Partitioning and clustering are crucial steps in circuit layout for handling large scale designs enabled by the deep submicron technologies. Retiming is an important sequential lo...
Jason Cong, Honching Li, Chang Wu