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» Generation of Attributes for Learning Algorithms
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ISM
2005
IEEE
112views Multimedia» more  ISM 2005»
14 years 1 months ago
Generating MPEG-21 BSDL Descriptions Using Context-Related Attributes
In order to efficiently deal with the heterogeneity in the current and future multimedia ecosystem, it is necessary that content can be adapted in a format-agnostic manner. A fi...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, R...
ACSAC
2002
IEEE
14 years 16 days ago
Gender-Preferential Text Mining of E-mail Discourse
This paper describes an investigation of authorship gender attribution mining from e-mail text documents. We used an extended set of predominantly topic content-free e-mail docume...
Malcolm Corney, Olivier Y. de Vel, Alison Anderson...
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 25 days ago
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan
JMLR
2002
138views more  JMLR 2002»
13 years 7 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ISCI
1998
139views more  ISCI 1998»
13 years 7 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan