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LNBI is devoted to the publication of state-of-the-art research results in bio-informatics and computational biology, at a high level and in both printed and electronic versions - making use of the well-established LNCS publication machinery. As with the LNCS mother series, refereed proceedings and post- proceedings are at the core of LNBI, however, similar to the color cover sub- lines in LNCS, tutorials and state-of-the-art surveys are also invited for LNBI. Among the topics covered are:
Genomics;Molecular sequence analysis;Recognition of genes and regulatory elements;Molecular evolution;Protein structure;Gene expression;Gene networks;Combinatorial libraries and drug design;Computational proteomics. ;
内容简介
This book constitutes the thoroughly refereed post-proceedings of the 2006 Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, held in Guilin, China in August 2006 as part of 9th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006.
The 21 revised full papers and 6 revised short papers presented together with 4 invited talks were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on ontology and knowledge acquisition, algorithm approaches to knowledge acquisition, incremental knowledge acquisition and RDR, knowledge acquisition and applications, as well as machine learning and data mining.
作者简介
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目录
PART I: Regular Papers
Ontology and Knowledge Acquisition
Visual Knowledge Annotation and Management by Using Qualitative Spatial Information
Ad-Hoc and Personal Ontologies: A Prototyping Approach to Ontology Engineering
Relating Business Process Models to Goal-Oriented Requirements Models in KAOS
Algorithm Approaches to Knowledge Acquisition
Heuristic and Rule-Based Knowledge Acquisition: Classification of Numeral Strings in Text
RFID Tag Based Library Marketing for Improving Patron Services
Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search
Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices
Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis
Revealing Themes and Trends in the Knowledge Domains Intellectual Structure
Incremental Knowledge Acquisition and RDR
Evaluation of the FastFIX Prototype 5Cs CARD System
Intelligent Decision Support for Medication Review
A Hybrid Browsing Mechanism Using Conceptual Scales
Knowledge Acquisition and Applications
Knowledge Representation for Video Assisted by Domain-Specific Ontology
An Ontological Infrastructure for the Semantic Integration of Clinical Archetypes
Improvement of Air Handling Unit Control Performance Using Reinforcement Learning
Machine Learning and Data Mining
Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance
A New Model for Classifying DNA Code Inspired by Neural Networks and FSA
Improvements on Common Vector Approach Using k-Clustering Method
The Method for the Unknown Word Classification
PART II:Regular Papers(6-8Pages)
Author Index
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