Knowledge Induction based on Randomization in Case-Based Reasoning

被引：6

作者：

Bouabana-Tebibel, Thouraya ^{[1
]}

Rubin, Stuart H. ^{[2
]}

Chebba, Asmaa ^{[1
]}

Bediar, Sofiane ^{[1
]}

Iskounen, Syphax ^{[1
]}

机构：

[1] Ecole Natl Super Informat, LCSI Lab, Algiers, Algeria

[2] Space & Naval Warfare Syst Ctr Pacific, San Diego, CA 92152 USA

来源：

PROCEEDINGS OF 2016 IEEE 17TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IEEE IRI) | 2016年

关键词：

case-based reasoning; contextual search; randomization; transmutation; CBR; DESIGN; METHODOLOGY; SYSTEM;

D O I：

10.1109/IRI.2016.80

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Case-Based Reasoning (CBR) interests the scientific community, whom are concerned with scalability in knowledge representation and processing. CBR systems scale far better than rule-based systems. Rule-based systems are limited by the need to know the rules of engagement, which is practically unobtainable. The work presented in this paper pertains to knowledge generalization based on randomization. Inductive knowledge is inferred through subsumption and transmutation rules. Knowledge is dynamically generated, thus allowing for a gain in the inferential space and research time. It is validated based on the domain user expertise. The approach is illustrated with an example and is seen to be properly implemented and tested.

引用

页码：541 / 548

页数：8

共 27 条

[1] Global optimization of case-based reasoning for breast cytology diagnosis [J].

Ahn, Hyunchul ;

Kim, Kyoung-jae .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (01) :724-734

[2] Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments [J].

Begum, Shahina ;

Ahmed, Mobyen Uddin ;

Funk, Peter ;

Xiong, Ning ;

Folke, Mia .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2011, 41 (04) :421-434

[3] Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem [J].

Behbood, Vahid ;

Lu, Jie ;

Zhang, Guangquan .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (02) :1637-1646

[4] The GhostWriter-2.0 Case-Based Reasoning system for making content suggestions to the authors of product reviews [J].

Bridge, Derek ;

Healy, Paul .

KNOWLEDGE-BASED SYSTEMS, 2012, 29 :93-103

[5] Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion [J].

Fan, Zhi-Ping ;

Li, Yong-Hai ;

Wang, Xiaohuan ;

Liu, Yang .

EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (05) :2526-2534

[6] A CBR system for injection mould design based on ontology: A case study [J].

Guo, Yuan ;

Hu, Jie ;

Peng, Yinghong .

COMPUTER-AIDED DESIGN, 2012, 44 (06) :496-508

[7] Data clustering: A review [J].

Jain, AK ;

Murty, MN ;

Flynn, PJ .

ACM COMPUTING SURVEYS, 1999, 31 (03) :264-323

[8] Fuzzy case-based reasoning for facial expression recognition [J].

Khanum, Aasia ;

Mufti, Muid ;

Javed, M. Younus ;

Shafiq, A. Zubair .

FUZZY SETS AND SYSTEMS, 2009, 160 (02) :231-250

[9] Multi document summarization based on news components using fuzzy cross-document relations [J].

Kumar, Yogan Jaya ;

Salim, Naomie ;

Abuobieda, Albaraa ;

Albaham, Ameer Tawfik .

APPLIED SOFT COMPUTING, 2014, 21 :265-279

[10] Achieving quality assurance functionality in the food industry using a hybrid case-based reasoning and fuzzy logic approach [J].

Lao, S. I. ;

Choy, K. L. ;

Ho, G. T. S. ;

Yam, Richard C. M. ;

Tsim, Y. C. ;

Poon, T. C. .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (05) :5251-5261

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