Proceedings of the Pacific Knowledge Acquisition Workshop 2004

This is a proceeding of PKAW knowledge acqusition workshop Table of Contents Active Learning Finding cue expressions for knowledge extraction from scientific text: 1 early results Masashi Shimbo, Sayaka Tamamori and Yuji Matsumoto Mining Diagnostic Taxonomy for Multi-Stage Medical Diagnosis 14 Shusaku Tsumoto Constructing Compact Dual Ensembles for Efficient Active Learning 29 Huan Liu, Amit Mandvikar and Hiroshi Motoda Ripple Down Rules: Incremental Knowledge Acquisition Generalising Incremental Knowledge Acquisition 44 Paul Compton, Tri Minh Cao and Julian Kerr Knowledge Acquisition Module for Conversational Agents 54 Pauline Mak, Byeong HoKang, Claude Sammut and Waleed Kadous Personalized Web Document Classification using MCRDR 63 Sungsik Park, Yangsok Kim and ByeongHo Kang Achieving Rapid Knowledge Acquisition in a High-Volume Call Centre 74 Megan Vazey and Debbie Richards Acquisition of Articulable Tacit Knowledge 87 Peter Busch and Debbie Richards Knowledge Acquisition Tools Incremental Knowledge Acquisition using RDR for Soccer Simulation. 102 Angela Finlayson and Paul Compton Domain Ontology Construction with Quality Refinement 116 Takeshi Morita, Yoshihiro Shigeta, Naoki Sugiura, Naoki Fukuta, Noriaki Izumi and Takahira Yamaguchi Developing an Intelligent Learning Tool 127 for Knowledge Acquisition on Problem-based Discussion Akcell Chiang, Isaac Pak-Wah Fung and R. H. Kemp View of Knowledge Acquisition / Evaluate Knowledge Acquisition methods Towards Acquiring and Refining Class Hierarchy Design of 143 Web Application Integration Software Naoki Fukuta, Mayumi Ueno, Noriaki Izumi and Takahira Yamaguchi Consideration on 'Educationality' of Knowledge Acquisition 158 Support Systems Toshiro Minami A Comparative Study on Cost and Benefit of Capturing Design 172 Rationale Yoshikiyo Kato and Koichi Hori Knowledge Acquisition and Machine Learning Using Neural Network to Weight the Partial Rules: 183 Application to Classification of Dopamine Antagonist Molecules Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada and Boonserm Kijsirikul Future Directions in Adapting GAs using Knowledge Acquisition 196 J.P. Bekmann and Achim Hoffmann Incremental Learning of Control Knowledge for Lung Boundary Extraction 211 Avishkar Misra, Arcot Sowmya and Paul Compton E-Mail Document Categorization Using BayesTH-MCRDR Algorithm: 226 Empirical Analysis and Comparison with Other Document Classification Methods Woo-Chul Cho and Debbie Richards Detecting the Knowledge Frontier: An Error Predicting Knowledge 241 Based System Richard Peter Dazeley and Byeong Ho Kang

[1]  Paul Compton,et al.  A 2000 Rule Expert System Without Knowledge Engineers , 1993 .

[2]  Bir Bhanu,et al.  Adaptive integrated image segmentation and object recognition , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[3]  Susan T. Dumais,et al.  A Bayesian Approach to Filtering Junk E-Mail , 1998, AAAI 1998.

[4]  David D. Lewis,et al.  Feature Selection and Feature Extraction for Text Categorization , 1992, HLT.

[5]  Yongmin Kim,et al.  A methodology for evaluation of boundary detection algorithms on medical images , 1997, IEEE Transactions on Medical Imaging.

[6]  Byeong Ho Kang,et al.  Multiple Classification Ripple Down Rules : Evaluation and Possibilities , 2000 .

[7]  Yiming Yang,et al.  A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.

[8]  C. Shekhar,et al.  Design of Self-Tuning IU Systems , 1997 .

[9]  P. Compton,et al.  A philosophical basis for knowledge acquisition , 1990 .

[10]  B. Bhanu,et al.  Adaptive image segmentation using genetic and hybrid search methods , 1995, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Francis Jack Smith,et al.  Improving Statistical Language Model Performance with Automatically Generated Word Hierarchies , 1995, Comput. Linguistics.

[12]  Qian Huang,et al.  Quantitative methods of evaluating image segmentation , 1995, Proceedings., International Conference on Image Processing.

[13]  Rin-ichiro Taniguchi,et al.  Knowledge-based image processing system: IPSSENS-II , 1989 .

[14]  Lothar Hotz,et al.  Qualitative Model-Based Decision Tree Generation for Diagnosis in Real World Industrial Application , 1999, Künstliche Intell..

[15]  Jorge Muniz Barreto,et al.  Cyclops - Expert System Shell for the Development of Applications in the Area of Medical Image Analy , 1999 .

[16]  Ron Kohavi,et al.  Irrelevant Features and the Subset Selection Problem , 1994, ICML.

[17]  V. Clement,et al.  Handling knowledge in image processing libraries to build automatic systems , 1989, International Workshop on Industrial Applications of Machine Intelligence and Vision,.

[18]  Ghassan Beydoun,et al.  NRDR for the Acquisition of Search Knowledge , 1997, Australian Joint Conference on Artificial Intelligence.

[19]  Mira Park,et al.  Automatic Extraction of Lung Boundaries by a Knowledge-Based Method , 2000, VIP.

[20]  Andrew McCallum,et al.  A comparison of event models for naive bayes text classification , 1998, AAAI 1998.

[21]  Monique Thonnat,et al.  A knowledge-based approach to integration of image processing procedures , 1993 .

[22]  Thorsten Joachims,et al.  A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization , 1997, ICML.