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» Categorizing Vulnerabilities Using Data Clustering Technique...
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WCE
2007
15 years 3 months ago
Novel Auxiliary Techniques in Clustering
— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
Mohammad Taheri, Reza Boostani
DMIN
2007
161views Data Mining» more  DMIN 2007»
15 years 3 months ago
Efficient Summarization Based On Categorized Keywords
—The information that exists on the World Wide Web is enormous enough in order to distract the users when trying to find useful information. In order to overcome the large amount...
Christos Bouras, Vassilis Poulopoulos, Vassilis Ts...
ICML
2002
IEEE
16 years 2 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
HCI
2009
14 years 11 months ago
A Tool for Analyzing Categorical Data Visually with Granular Representation
Categorical data appears in various places, and dealing with it has been a major concern in analysis fields. However, representing not only global trends but also local trends of d...
Kousuke Shiraishi, Kazuo Misue, Jiro Tanaka
MCS
2009
Springer
15 years 6 months ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown