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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.14 No.4
- 발행연도
- 2014.12
- 수록면
- 256 - 267 (12page)
이용수
초록· 키워드
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An automatic switch among ensembles of clustering algorithms is proposed as a part of the bibliographic big data retrieval system by utilizing a fuzzy inference engine as a decision support tool to select the fastest performing clustering algorithm between fuzzy C-means (FCM) clustering, Newman-Girvan clustering, and the combination of both. It aims to realize the best clustering performance with the reduction of computational complexity from O(n³) to O(n). The automatic switch is developed by using fuzzy logic controller written in Java and accepts 3 inputs from each clustering result, i.e., number of clusters, number of vertices, and time taken to complete the clustering process. The experimental results on PC (Intel Core i5-3210M at 2.50 GHz) demonstrates that the combination of both clustering algorithms is selected as the best performing algorithm in 20 out of 27 cases with the highest percentage of 83.99%, completed in 161 seconds. The self-adapted FCM is selected as the best performing algorithm in 4 cases and the Newman-Girvan is selected in 3 cases. The automatic switch is to be incorporated into the bibliographic big data retrieval system that focuses on visualization of fuzzy relationship using hybrid approach combining FCM and Newman-Girvan algorithm, and is planning to be released to the public through the Internet.
목차
Abstract
1. Introduction
2. Clustering Result of the Self-Adapted FCM, Newman-Girvan Algorithm, and the Combination
3. Automatic Switch between 3 Clustering Algorithms based on Fuzzy Inference
4. Experiment of Automatic Switching on Clustering Results
5. User-Based Evaluation for the Bibliographic Big Data Retrieval System
6. Conclusions
References
참고문헌 (18)
참고문헌 신청
1. [학술대회논문] - M. Zolkepli / 2013 / Visualization of fuzzy relationship using clustering algorithms in bibliographic big data / Proceedings of the 14th International Symposium on Advanced Intelligent Systems
2. [학술지(정기간행물)] - L.I. Kuncheva / 2002 / Switching between selection and fusion in combining classifiers: an experiment / IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32 (2) : 146 ~ 156
3. [학술지(정기간행물)] - A. Azadeh / 2010 / A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry / Expert Systems with Applications 37 (1) : 627 ~ 639
4. [학술지(정기간행물)] - Adem Karahoca / 2011 / GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system / Expert Systems with Applications 38 (3) : 1814 ~ 1822
5. [학술대회논문] - J. Jin / 2012 / An efficient detecting communities algorithm with self-adapted fuzzy C-means clustering in complex networks / Proceedings of the IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications : 1988 ~ 1993
2. [학술지(정기간행물)] - L.I. Kuncheva / 2002 / Switching between selection and fusion in combining classifiers: an experiment / IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32 (2) : 146 ~ 156
3. [학술지(정기간행물)] - A. Azadeh / 2010 / A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry / Expert Systems with Applications 37 (1) : 627 ~ 639
4. [학술지(정기간행물)] - Adem Karahoca / 2011 / GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system / Expert Systems with Applications 38 (3) : 1814 ~ 1822
5. [학술대회논문] - J. Jin / 2012 / An efficient detecting communities algorithm with self-adapted fuzzy C-means clustering in complex networks / Proceedings of the IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications : 1988 ~ 1993
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