Knowledge Acquisition: Approaches, Algorithms and Applications

Machine Learning and Data Mining.- Experiments with Adaptive Transfer Rate in Reinforcement Learning.- Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation.- Automatic Database Creation and Object’s Model Learning.- Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures.- Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining.- A Novel Classification Algorithm Based on Association Rules Mining.- Incremental Knowledge Acquisition.- Multiple Classification Ripple Round Rules: A Preliminary Study.- Generalising Symbolic Knowledge in Online Classification and Prediction.- Web-Based Techniques and Application.- Using Formal Concept Analysis towards Cooperative E-Learning.- Navigation and Annotation with Formal Concept Analysis.- What Does an Information Diffusion Model Tell about Social Network Structure?.- Web Mining for Malaysia’s Political Social Networks Using Artificial Immune System.- Accessing Touristic Knowledge Bases through a Natural Language Interface.- ItemSpider: Social Networking Service That Extracts Personal Character from Individual’s Book Information.- Acquiring Marketing Knowledge from Internet Bulletin Boards.- Domain Specific Knowledge Acquisition Methods and Applications.- A Design for Library Marketing System and Its Possible Applications.- Knowledge Audit on Special Children Communities.- A Dance Synthesis System Using Motion Capture Data.- Discovering Areas of Expertise from Publication Data.- Facial Feature Extraction Using Geometric Feature and Independent Component Analysis.