111 search results - page 4 / 23 » A Bi-clustering Framework for Categorical Data |
CIVR
2009
Springer
15 years 6 months ago
2009
Springer
In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Micr...
105
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DAWAK
2004
Springer
15 years 5 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
90
Voted
ICML
2002
IEEE
16 years 12 days ago
2002
IEEE
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...
115
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MCS
2009
Springer
15 years 4 months ago
2009
Springer
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 ...
113
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DIWEB
2004
15 years 1 months ago
2004
In this paper, we propose a methodology developed in the framework of the VISPO project for engineering a three-layer ontology, based on the conceptualization, integration, synthes...