Knowledge Acquisition: Approaches, Algorithms and Applications : Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers / edited by Debbie Richards, Byeong-Ho Kang.

Format:

Book

Contributor:

Richards, Deborah (Computer scientist), editor.

Kang, Byeong-Ho, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 5465.

Lecture Notes in Artificial Intelligence ; 5465

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Data structures (Computer science).

Information storage and retrieval.

Application software.

Database management.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Data Structures and Information Theory.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Data Structures and Information Theory.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Physical Description:

1 online resource (X, 243 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008. The 20 revised papers presented were carefully reviewed and selected from 57 submissions and went through two rounds of reviewing and improvement. The papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and applications, as well as domain specific knowledge acquisition methods and applications.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-642-01715-5

9783642017155

Access Restriction:

Restricted for use by site license.