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Chapter and Conference Paper
A Novel Multi-objective Optimization Algorithm for Social Network
In real-life social networks, the decisions of individual actors are often influenced by multiple sources of information, whose relative influence depends on several factors, in much the same way as many real ...
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Chapter and Conference Paper
A Two-Phased Ontology Selection Approach for Semantic Web
In this paper, we attempt to propose a two-phased ontology selection approach. Users can describe their requirements through a two-level requirement analysis model. The coarse-level analysis model is quite sim...
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Chapter and Conference Paper
Learning from Hierarchical Attribute Values by Rough Sets
The rough-set theory has been widely used in dealing with data classification problems. Most of the previous studies on rough sets focused on deriving certain rules and possible rules on the single concept lev...
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Chapter and Conference Paper
Maintenance of Discovered Functional Dependencies: Incremental Deletion
The discovery of functional dependencies (FDs) in relational databases is an important data-mining problem. Most current work assumes that the database is static, and a database update requires rediscovering a...