BEST RDR (Best Expert System Technique Ripple Down Rules)

2013

Compton, Paul. "Situated cognition and knowledge acquisition research." International Journal of Human-Computer Studies 71.2 (2013) : 184-190. [[Paper Link]]

2012

Kelarev, Andrei, et al. "Detection of CAN by Ensemble Classifiers Based on Ripple Down Rules." Knowledge Management and Acquisition for Intelligent Systems (2012): 147-159.[[Paper Link]]

Kim, Yang, Paul Compton, and Byeong Kang. "Ripple-Down Rules with Censored Production Rules." Knowledge Management and Acquisition for Intelligent Systems (2012): 175-187.[[Paper Link]]

Nguyen, Dat, and Son Pham. "Ripple down rules for vietnamese named entity recognition." Computational Collective Intelligence. Technologies and Applications (2012): 354-363.[[Paper Link]]

Yoon, HeeGuen, et al. "V&V to Use Agile Approach in ES Development: Why RDR Works for Expert System Developments!." Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity (2012): 113-120.[[Paper Link]]

2011

Bindoff, Ivan, and Byeong Kang. "Applying multiple classification ripple round rules to a complex configuration task." AI 2011: Advances in Artificial Intelligence (2011): 481-490.[[Paper Link]]

Bindoff, I., et al. "The potential for intelligent decision support systems to improve the quality and consistency of medication reviews." Journal of clinical pharmacy and therapeutics (2012).[[Paper Link]]

Dazeley, Richard, Sung Sik Park, and Byeong H. Kang. "Online knowledge validation with prudence analysis in a document management application." Expert Systems with Applications 38.9 (2011): 10959-10965.[[Paper Link]]

Nguyen, Dat, et al. "Ripple down rules for part-of-speech tagging." Computational Linguistics and Intelligent Text Processing (2011): 190-201.[[Paper Link]]

2010

Beydoun, Ghassan, Achim Hoffmann, and R. F. Hamade. "Automating dimensional tolerancing using Ripple down Rules (RDR)." Expert Systems With Applications 37.7 (2010): 5101-5109.[[Paper Link]]

Bindoff, Ivan, and Byeong Kang. "Simulated assessment of ripple round rules." Knowledge Management and Acquisition for Smart Systems and Services (2010): 180-194.[[Paper Link]]

Dazeley, Richard, et al. "The Ballarat incremental knowledge engine." Knowledge Management and Acquisition for Smart Systems and Services (2010): 195-207. [[Paper Link]]

Dazeley, Richard, et al. "Consensus clustering and supervised classification for profiling phishing emails in internet commerce security." Knowledge Management and Acquisition for Smart Systems and Services (2010): 235-246.[[Paper Link]]

Finlayson, Angela, and Paul Compton. "Incremental knowledge acquisition using generalised RDR for soccer simulation." Knowledge Management and Acquisition for Smart Systems and Services (2010): 135-149.[[Paper Link]]

Guo, Wei, Yang Sok Kim, and Byeong Ho Kang. "Webpage Segments Classification with Incremental Knowledge Acquisition." U-and E-Service, Science and Technology (2010): 79-87.[[Paper Link]]

Hamade, Ramsey F., Ali H. Ammouri, and G. Beydoun. "Nested Ripple Down Rules (NRDR) as a Design Assistant in Mechanical Dimensional Tolerancing." ASME, 2010.[[Paper Link]]

Hamade, R. F., et al. "A dimensional tolerancing knowledge management system using Nested Ripple Down Rules (NRDR)." Engineering Applications of Artificial Intelligence 23.7 (2010): 1140-1148.[[Paper Link]]

Kang, Byeong H. Information Monitoring System on World Wide Web. TASMANIA UNIV HOBART (AUSTRALIA), 2010.[[Paper Link]]

Misra, Avishkar, Arcot Sowmya, and Paul Compton. "Incremental system engineering using process networks." Knowledge Management and Acquisition for Smart Systems and Services (2010): 150-164.[[Paper Link]]

Xu, Han, and Achim Hoffmann. "Rdrce: Combining machine learning and knowledge acquisition." Knowledge Management and Acquisition for Smart Systems and Services (2010): 165-179.[[Paper Link]]

2009

Bindoff, Ivan, Tristan Ling, and Byeong Kang. "Multiple classification ripple round rules: a preliminary study." Knowledge Acquisition: Approaches, Algorithms and Applications (2009): 76-90.[[Paper Link]]

Chui, F. C. H., et al. "Applying Feature Extraction for Classification Problems." International Journal of Signal Processing, Image Processing and Pattern Recognition 2.1. March 2009 (2009): 1-16.[[Paper Link]]

Compton, P., et al. "An incremental knowledge acquisition method for improving duplicate invoices detection." Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on. IEEE, 2009.[[Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "Generalising symbolic knowledge in online classification and prediction." Knowledge Acquisition: Approaches, Algorithms and Applications (2009): 91-108.[[Paper Link]]

Dermoudy, Julian, et al. "Process of extracting uncover patterns from data: a review." International Journal of Database Theory and Application 2.2 (2009): 17-33.[[Paper Link]]

Foo, Wong Meng, Boyi Fan, and Byeong-Ho Kang. "Domain modelling of server monitoring system using MCRDR." AISAT: International Workshop on Artificial Intelligence in Science and Technology. Vol. 1. 2009.[[Paper Link]]

Kang, Byeong-Ho, and Maricel O. Balitanas. "Vulnerabilities of VPN using IPSec and Defensive Measures." International Journal of Advanced Science and Technology 8.July 2009 (2009): 9-17.[[Paper Link]]

Kang, Byeong Ho, et al. Dynamic Scheduling for Web Monitoring Crawler. TASMANIA UNIV HOBART (AUSTRALIA), 2009.[[Paper Link]]

Kang, Byeong Ho, and Yang Sok Kim. "Monitoring web resources discovery by reusing classification knowledge." Social Computing and Behavioral Modeling (2009): 1-8.[[Paper Link]]

Kim, Yang, et al. "Using knowledge base for event-driven scheduling of web monitoring systems." E-Commerce and Web Technologies (2009): 169-180.[[Paper Link]]

Martínez-Béjar, Rodrigo, et al. "A semantics-driven, fuzzy logic-based approach to knowledge representation and inference." Expert Systems with Applications 36.2 (2009): 1940-1960.[[Paper Link]]

Misra, Avishkar, Arcot Sowmya, and Paul Compton. "Impact of quasi-expertise on knowledge acquisition in computer vision." Image and Vision Computing New Zealand, 2009. IVCNZ'09. 24th International Conference. IEEE, 2009.[[Paper Link]]

Park, M., et al. "Computer aided diagnosis system of medical images using incremental learning method." Expert systems with applications 36.3 (2009): 7242-7251.[[Paper Link]]

Richards, Debbie. "A social software/Web 2.0 approach to collaborative knowledge engineering." Information Sciences 179.15 (2009): 2515-2523.[[Paper Link]]

Richards, Debbie. "Two decades of ripple down rules research." The Knowledge Engineering Review 24.2 (2009): 159-184.[[Paper Link]]

SHARMA, PRIYANKA. "Ripple-Down Rules for Knowledge Acquisition in Intelligent System." (2009)[[Paper Link]]

Yearwood, J., B. Kang, and A. Kelarev. "Experimental investigation of three machine learning algorithms for ITS dataset." Future Generation Information Technology (2009): 308-316.[[Paper Link]]

Zehmeister, Michael S., Yang Sok Kim, and Byeong Ho Kang. "Illumination identification by using image colour data and robot's location and orientation data." International Journal of Ad Hoc and Ubiquitous Computing 4.1 (2009): 13-23.[[Paper Link]]

2008

Chui, Foon Chi Francis, et al. "Feature extraction for classification from images: a look at the retina." Ubiquitous Multimedia Computing, 2008. UMC'08. International Symposium on. IEEE, 2008.[[Paper Link]]

Compton, Paul, et al. "Situated cognition in the semantic web era." Knowledge Engineering: Practice and Patterns (2008): 374-387.[[Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "Detecting the knowledge boundary with prudence analysis." AI 2008: Advances in Artificial Intelligence (2008): 482-488.[[Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "The viability of prudence analysis." Pacific Rim knowledge acquisition workshop, PKAW. 2008.[[Paper Link]]

Dazeley, R. P., and Byeong-Ho Kang. "Generalisation with Symbolic Knowledge in Online Classification." The 2008 Pacific Rim Knowledge Acquisition Workshop (PKAW 2008), Springer. 2008.[[Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "An approach for generalising symbolic knowledge." AI 2008: Advances in Artificial Intelligence (2008): 379-385.[[Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "Prediction using a symbolic based hybrid system." PKAW. 2008.[[Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "The viability of prudence analysis." Pacific Rim knowledge acquisition workshop, PKAW. 2008.[[Paper Link]]

Dazeley, Richard. "An Expert System Methodology for SMEs and NPOs." 11th Annual Australian Conference on Knowledge Management and Intelligent Decision Support-ACK-MIDS. 2008.[[Paper Link]]

D'Este, Claire, Daniel Reid, and Byeong Ho Kang. "A robotic interface to a medication review expert system." Ubiquitous Multimedia Computing, 2008. UMC'08. International Symposium on. IEEE, 2008.[[Paper Link]]

Kim, Yang, and Byeong Kang. "Search query generation with MCRDR document classification knowledge." Knowledge Engineering: Practice and Patterns (2008): 292-301.[[Paper Link]]

Kim, Yang, Byeong Kang, and Raymond Williams. "Measuring Public Accessibility of Australian Government Web Pages." Digital Libraries: Universal and Ubiquitous Access to Information (2008): 402-403.[[Paper Link]]

Kim, Yang Sok, and Byeong Ho Kang. "A study on monitoring web page locating heuristics." The 2008 International Conference on Information and Knowledge Engineering (IKE'08). 2008.[[Paper Link]]

Kim, Yang Sok, et al. "Coverage and delay forecast modeling of search engine services." (2008).[[Paper Link]]

Ling, Tristan, et al. "Expert-driven knowledge discovery." Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on. IEEE, 2008.[[Paper Link]]

Richards, Debbie. "Acquiring Knowledge as You Play." Autonomic and Autonomous Systems, 2008. ICAS 2008. Fourth International Conference on. IEEE, 2008.[[Paper Link]]

Shirazi, H., and C. A. Sammut. "Acquiring control knowledge from examples using ripple-down rules and machine learning." IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY 32.B (2008): 295.[[Paper Link]]

Yearwood, J. L., B. H. Kang, and A. V. Kelarev. "Experimental investigation of classification algorithms for ITS dataset." Lect. Notes Computer Science, to appear (2008).[[Paper Link]]

2007

Bindoff, Ivan, et al. "Applying MCRDR to a multidisciplinary domain." AI 2007: Advances in Artificial Intelligence (2007): 519-528.[[Paper Link]]

Bindoff, I. K., et al. "Development of an intelligent decision support system for medication review." Journal of clinical pharmacy and therapeutics 32.1 (2007): 81-88.[[Paper Link]]

Kang, Byeong, Yang Kim, and Young Choi. "Does multi-user document classification really help knowledge management?." AI 2007: Advances in Artificial Intelligence (2007): 327-336.[[Paper Link]]

Kim, Yang, and Byeong Kang. "Coverage and timeliness analysis of search engines with webpage monitoring results." Web Information Systems Engineering–WISE 2007 (2007): 361-372.[[Paper Link]]

Kim, Yang Sok, and Byeong Ho Kang. "Tracking government websites for information integration." Information research: an international electronic journal 12.4 (2007).[[Paper Link]]

Kim, Yang Sok, et al. "Search engine retrieval of changing information." Proceedings of the 16th international conference on World Wide Web. ACM, 2007.[[Paper Link]]

Ling, Tristan, et al. "Knowledge discovery via incremental learning." Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007. IEEE, 2007.[[Paper Link]]

Min, Kyongho, William Wilson, and Byeong-Ho Kang. "Effectiveness of methods for syntactic and semantic recognition of numeral strings: tradeoffs between number of features and length of word N-grams." AI 2007: Advances in Artificial Intelligence (2007): 445-455.[[Paper Link]]

Prayote, Akara. Knowledge based anomaly detection. Diss. The University of New South Wales, 2007.[[Paper Link]]

Richards, Debbie. "a Call for Change in the Call Center." Journal of Organizational and End User Computing (JOEUC) 20.1 (2008): 64-75.[[Paper Link]]

Zehmeister, Michael S., Yang Sok Kim, and Byeong Ho Kang. "An illumination identification system for the AIBO robot." Multimedia and Ubiquitous Engineering, 2007. MUE'07. International Conference on. IEEE, 2007.[[Paper Link]]

2006

Bindoff, Ivan, et al. "Intelligent decision support for medication review." Advances in Knowledge Acquisition and Management (2006): 120-131.[[Paper Link]]

Burman, Stephen, et al. "Maintenance of Game Character's AI by Players." International Journal of Multimedia and Ubiquitous Engineering 1.1 (2006): 39-46.[[Paper Link]]

Compton, Paul, et al. "Experience with ripple-down rules." Knowledge-Based Systems 19.5 (2006): 356-362.[[Paper Link]]

Compton, Paul, and Tri Cao. "Evaluation of incremental knowledge acquisition with simulated experts." AI 2006: Advances in Artificial Intelligence (2006): 39-48.[[Paper Link]]

Misra, Avishkar, Arcot Sowmya, and Paul Compton. "Incremental learning for segmentation in medical images." Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on. IEEE, 2006.[[Paper Link]]

Everts, Timothy J., Sung Sik Park, and Byeong Ho Kang. "Using formal concept analysis with an incremental knowledge acquisition system for web document management." Proceedings of the 29th Australasian Computer Science Conference-Volume 48. Australian Computer Society, Inc., 2006.[[Paper Link]]

Hu, Wei, and Huan-Ye Sheng. "A New Ripple Down Rules Induction Algorithm and its Lattice Extension." Machine Learning and Cybernetics, 2006 International Conference on. IEEE, 2006.[[Paper Link]]

Kang, Byeong, et al. "A new model for classifying DNA code inspired by neural networks and FSA." Advances in Knowledge Acquisition and Management (2006): 187-198.[[Paper Link]]

Kang, Byeong Ho, et al. Towards Next Generation WWW: Push, Reuse and Classification. TASMANIA UNIV HOBART (AUSTRALIA), 2006.[[Paper Link]]

Kang, Byeong Ho, and Yang Sok Kim. Noise Elimination from the Web Documents by Using URL paths and Information Redundancy. Diss. 2006.[[Paper Link]]

Kelarev, Andrei, et al. Labeled directed graphs and FSA as classifiers of strings. Diss. 2006.[[Paper Link]]

Kelarev, Andrei, Byeong Kang, and Dorothy Steane. "Clustering algorithms for ITS sequence data with alignment metrics." AI 2006: Advances in Artificial Intelligence (2006): 1027-1031.[[Paper Link]]

Kim, Yang, et al. "User behavior analysis of the open-ended document classification system." AI 2006: Advances in Artificial Intelligence (2006): 1089-1095.[[Paper Link]]

Park, Gil Cheol, et al. "An automated WSDL generation and enhanced SOAP message processing system for mobile Web services." Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on. IEEE, 2006.[[Paper Link]]

Woo Chul Cho and Debbie Richards. (2006) Automatic construction of a concept hierarchy to assist Web document classification. Proceedings 2nd International conference on Information Management and Business (IMB2006)[[Paper Link]]

2005

2004

Cao, Tri, Eric Martin, and Paul Compton. "On the convergence of incremental knowledge base construction." Discovery Science. Springer Berlin/Heidelberg, 2004.[[Paper Link]]

Cho, Woo-Chul, and Debbie Richards. "BayesTH-MCRDR algorithm for automatic classification of Web document." AI 2004: Advances in Artificial Intelligence (2005): 263-271.[[Paper Link]]

Cho, Woo-Chul, and Debbie Richards. "E-Mail Document Categorization Using BayesTH-MCRDR Algorithm: Empirical Analysis and Comparison with Other Document Classification Methods." [[Paper Link]]

Compton, Paul, Tri Cao, and Julian Kerr. Generalising incremental knowledge acquisition. Diss. School of Computing, Unviersity of Tasmania, 2004. [[Paper Link]]

Dazeley, Richard, and Byeong Kang. An online classification and prediction hybrid system for knowledge discovery in databases. Diss. University of Tasmania, 2004.[[Abstract / Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. "An Augmentation Hybrid System for Document Classification and Rating." PRICAI 2004: Trends in Artificial Intelligence (2004): 985-986.[[Abstract / Paper Link]]

Dazeley, Richard, and Byeong-Ho Kang. Detecting the knowledge frontier: an error predicting knowledge based system. Diss. School of Computing, Unviersity of Tasmania, 2004.[[Abstract / Paper Link]]

Kildare, R. A. Ad-hoc online teams as complex systems: agents that cater for team interaction rules. Diss. University of Tasmania, 2004.[[Abstract / Paper Link]]

Kildare, R. A., Ray Williams, and J. Hartnett. Expert Software Support for Ad-hoc Teams-Enabling Online Interaction Rules. Diss. University of Tasmania, 2004.[[Abstract / Paper Link]]

Kim, Mihye, and Paul Compton. "Evolutionary document management and retrieval for specialized domains on the web." International Journal of Human-Computer Studies 60.2 (2004): 201-241.[[Paper Link]]

Kim, Yang, et al. "Incremental knowledge management of web community groups on web portals." Practical Aspects of Knowledge Management (2004): 198-207.[[Paper Link]]

Kim, Yang Sok, et al. "Adaptive web document classification with MCRDR." Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on. Vol. 1. IEEE, 2004.[[Paper Link]]

Lee, Kang H., and Byeong H. Kang. "A new framework for uncertainty sampling: exploiting uncertain and positive-certain examples in similarity-based text classification." Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on. Vol. 2. IEEE, 2004.[[Paper Link]]

Mak, Pauline, et al. Knowledge Acquisition Module for Conversation Agent. Diss. School of Computing, Unviersity of Tasmania, 2004.[[Abstract / Paper Link]]

Misra, Avishkar, Arcot Sowmya, and Paul Compton. "Incremental learning of control knowledge for lung boundary extraction." Pacific Rim International Conference on Artificial Intelligence, Auckland. 2004.[[Paper Link]]

Park, Sung Sik, Yang Sok Kim, and Byeong Ho Kang. "Web document classification: Managing context change." IADIS International Conference WWW/Internet. 2004.[[Paper Link]]

Park, Sung Sik, Yang Sok Kim, and Byeong Ho Kang. Personalized web document classification using MCRDR. Diss. School of Computing, Unviersity of Tasmania, 2004.[[Abstract / Paper Link]]

Richards, Debbie. "Addressing the ontology acquisition bottleneck through reverse ontological engineering." Knowledge and information systems 6.4 (2004): 402-427.[[Paper Link]]

Singh, Pramod K., and P. Compton. "Evolution oriented semi-supervised approach for segmentation of medical images." Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on. IEEE, 2004.[[Paper Link]]

Suryanto, H. (2004). Learning and Discovery in Incremental Knowledge Acquisition: Ripple Down Rules. Department of Artificial Intelligence, School of Computer Science and Engineering. Sydney, Australia, University of New South Wales: 170.

Suryanto, Hendra, and Paul Compton. "Invented predicates to reduce knowledge acquisition." Engineering Knowledge in the Age of the Semantic Web (2004): 293-306.[[Paper Link]]

Megan Vazey and Richards Debbie. "Supporting Communities of Practice: A Ripple Down Rules Approach to Call Centre Management" The Proceedings of the First International Conference on Knowledge Management (ICKM'04). [[Paper Link]]

Megan Vazey and Richards Debbie. Managing Knowledge in IT Organisations - A Solution for Corporate Support Centres, Australian Conference for Knowledge Management & Intelligent Decision Support (ACKMIDS' 2004). [[Paper Link]]

Vazey, Megan, and Debbie Richards. "Achieving rapid knowledge acquisition in a high-volume call centre." Proceedings of the Pacific Knowledge Acquisition Workshop 2004. University of Tasmania Eprints Repository, Auckland, 2004.[[Paper Link]]

Yoshida, Tetsuya, et al. "Adaptive Ripple Down Rules method based on minimum description length principle." Intelligent Data Analysis 8.3 (2004): 239-265.[[Paper Link]]

2003

2002

2001

2000

COMPTON, P. 2000. RD Extending Ripple-Down Rules. 12th International Conference on Knowledge Engineering and Knowledge Managements (EKAW'2000).
COMPTON, P. & RICHARDS, D. 2000. Generalising ripple-down rules. Knowledge Engineering and Knowledge Management Methods, Models, and Tools, 125~135 %U
DRAKE, B. & BEYDOUN, G. 2000. Using ripple down rules to build predicates in situation semantics. 6th Pacific Rim Knowledge Acquisition Workshop (PKAW 2000). University of New South Wales, Sydney.
FUJIWARA, K., HORIUCHI, T., MOTODA, H., WASHIO, T. & SATO, K. E. N. 2000. Aggressive use of neighborhood cases in Ripple Down Rules Method. Proceedings of the Annual Conference of JSAI.
FUJIWARA, K., HORIUCHI, T., MOTODA, H., WASHIO, T. & SATO, K. E. N. 2000. Generation and use of neighborhood cases in Ripple Down Rules Method. SIG FAI, 41, 19~24
KWOK, R. 2000. Translations of ripple down rules into logic formalisms. Knowledge Engineering and Knowledge Management Methods, Models, and Tools, 231~242
RICHARDS, D. 2000. User-centred and driven knowledge-based systems for clinical support using ripple down rules. System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on.
WADA, T., HORIUCHI, T., MOTODA, H. & WASHIO, T. 2000. Challenge to Integrate Inductive Learning into Knowledge Acquisition for Ripple Down Rules Method. Proceedings of the Annual Conference of JSAI.
WADA, T., HORIUCHI, T., MOTODA, H. & WASHIO, T. 2000. Decision Criterion of Default Knowledge Based on Characterization of Knowledge Acquisition in Ripple Down Rules Method. JOURNAL-JAPANESE SOCIETY FOR ARTIFICIAL IN‚Ñ°LIGENCE, 15, 177~186
WADA, T., HORIUCHI, T., MOTODA, H. & WASHIO, T. 2000. Experiments to Integrate Inductive Learning into Knowledge Acquisition for Ripple Down Rules Method. SIG FAI, 41, 25~30
WADA, T., HORIUCHI, T., MOTODA, H. & WASHIO, T. 2000. Integrating Inductive Learning and Knowledge Acquisition in the Ripple Down Rules Method. Proceedings of the 6th Pacific International Knowledge Acquisition Workshop.

1999

1998

Kang, B.H., Unified table approach for typographic rendering. Electronic Publishing, Artistic Imaging, and Digital Typography, 1998: p. 55-65.
Kang, B.H., P. Preston, and P. Compton, Simulated expert evaluation of multiple classification ripple down rules. Proceedings of the 11th Workshop on Knowledge Acquisition, Modeling and Management, 1998.
Ramadan, Z., et al., From multiple classification RDR to configuration RDR. 11th Banff Knowledge Acquisition for Knowledge Base System Workshop, 1998.
MARTINEZ-BEJAR, R., BENJAMINS, R., COMPTON, P., PRESTON, P. & MARTIN-RUBIO, F. 1998. A formal framework to build domain knowledge ontologies for ripple-down rules-based systems, 11th Banff Knowledge Acquisition for Knowledge Base System Workshop (KAW 1998), Canada, SRDG.
MARTINEZ-BEJAR, R., SHIRAZ, G. M. & COMPTON, P. 1998. Using Ripple Down Rules-based systems for acquiring fuzzy domain knowledge. Eleventh Workshop on Knowledge Acquisition, Modeling and Management (KAW'98).
RAMADAN, Z., MULHOLLAND, M., HIBBERT, D. B., PRESTON, P., COMPTON, P. & HADDAD, P. R. 1998. Towards an expert system in ion-exclusion chromatography by means of multiple classification ripple-down rules. Journal of Chromatography A, 804
RICHARDS, D. 1998. Ripple down rules with formal concept analysis: A comparison to personal construct psychology. Proceedings of KAW'98, Eleventh Workshop on Knowledge Acquisition, Modelling and Management, Banff, Alberta, Canada.
RICHARDS, D. & COMPTON, P. 1998. Taking up the situated cognition challenge with ripple down rules. International Journal of Human-Computer Studies, 49, 895~926 RICHARDS, D. C. 1998. The reuse of knowledge in ripple-down rules knowledge-based systems, University of New South Wales. New South Wales, Australia.
SAMMUT, C. 1998. Introduction to Ripple Down Rules.
WADA, T., HORIUCHI, T., MOTODA, H. & WASHIO, T. 1998. A new look at default knowledge in ripple down rules method %U Pacific Rim Knowledge Acquisition Workshop (PKAW98).

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