Compound record clustering algorithm for design pattern detection by decision tree learning

2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Volumn , Issue , 2008, Pages 226-231

  Dong, Jing ^a   Sun, Yongtao ^b   Zhao, Yajing ^a  

^a The University of Texas at Dallas   (United States)

^b AMR   (United States)

Author keywords

Decision tree; Design pattern; Detection; Machine learning; Training example

Indexed keywords

ARSENIC COMPOUNDS; ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLUSTERING ALGORITHMS; DECISION MAKING; DECISION THEORY; DECISION TREES; EDUCATION; INFORMATION USE; LEARNING SYSTEMS; REAL TIME SYSTEMS; ROBOT LEARNING; TREES (MATHEMATICS);

DATA PATTERNS; DECISION TREE; DECISION TREE LEARNING; DESIGN PATTERN; DESIGN PATTERN DETECTION; DESIGN PATTERNS; DETECTION; INFORMATION RE-USE; INNOVATIVE METHODS; INTERNATIONAL CONFERENCES; MACHINE LEARNING; MACHINE-LEARNING ALGORITHMS; MATRIX TRANSFORMATIONS; REFACTORING; TRAINING EXAMPLE; TRAINING SETS;

LEARNING ALGORITHMS;

EID: 51949109571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2008.4583034     Document Type: Conference Paper

References (15)

1. O. Cappe, E. Moulines, T. Ryden. Inference in Hidden Markov Models, Springer, 2005. ISBN 0-387-40264-0.
2. J. Dong, D.S. Lad and Y. Zhao, DP-Miner: Design Pattern Discovery Using Matrix, the Proceedings of the Fourteenth Annual IEEE International Conference on Engineering of Computer Based Systems, USA, March 2007.
3. Jing Dong, Yongtao Sun, Yajing Zhao, Design Pattern Detection By Template Matching, the Proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC), Ceará, Brazil, March 2008.
4. Jing Dong, Sheng Yang and Kang Zhang, Visualizing Design Patterns in Their Applications and Compositions, IEEE Transaction on Software Engineering (TSE), Volume 33, Number 7, pp. 433-453, July 2007.
5. J. Dong, Y. Zhao, and T. Peng, Architecture and Design Pattern Discovery Techniques - A Review, Proceedings of International Conference on Software Engineering Research and Practice (SERP), USA, June 2007.
6. R. Ferenc, A. Beszedes, L. Fulop and J. Lele, Design Pattern Mining Enhanced by Machine Learning, 21st IEEE International Conference on Software Maintenance (ICSM'05) pp. 295-304.
7. Y.-G. Gueheneuc, H. Sahraoui, and F. Zaidi, Fingerprinting Design Patterns, Proc. 11th Working Conf. on Reverse Eng. (WCRE'04), Nov. 2004.
8. R. Kothari and M. Dong. "Decision Trees for Classification: A Review and some new results". University of Cincinnati, 2000.
9. T. M. Mitchell, "Machine Learning" Chapter 3, p52-p78. 1997, ISBN 0070428077
10. L. Pachter and B. Sturmfels. "Algebraic Statistics for Computational Biology". Cambridge University Press, 2005. ISBN 0-521-85700-7.
11. J. R. Quinlan, Induction of Decision Trees, 1986. ISBN 0885-6125.
12. N. Tsantalis, A. Chatzigeorgiou, G. Stephanides, and S. Halkidis, "Design Pattern Detection Using Similarity Scoring" IEEE transaction on software engineering, Vol. 32, No.11, November 2006.
13. Java.awt resource information, September 2006, http://java.sun.com/j2se/ 1.5.0/docs/guide/awt/index.html.
14. JHotDraw Start Page. http://www.jhotdraw.org/
15. JUnit, Testing Resources for Extreme Programming. http://www.junit.org/