Chien-Chung Chan

Chien-Chung Chan

Title: Professor
Dept/Program: Computer Science
Office: CAS 227
Phone: 330-972-8014


Research Interests:

Data Mining, Database, Knowledge-based Systems

Selected Publications:


Chan, C.-C., J.W. Grzymala-Busse and W.P. Ziarko (2008). Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2008, Akron, OH, USA, October 23 - 25, 2008.

Lecture Notes in Artificial Intelligence (LNAI), Vol. 5306, 532 p., Springer. ISBN: 978-3-540-88423-1.
Special issue of Transactions on Rough Sets, Springer (in progress)

Special issue of International Journal of Intelligent Systems, Wiley (in progress)

Book Chapters:

Konduri, A. and C.-C. Chan (2010), “Predicting similarity of web services using WordNet,” (To appear, Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global publication, 2010).

Chan, C.-C. and J.W. Grzymala-Busse (1998), "On the lower boundaries in learning rules from examples," in Incomplete Information: Rough Set Analysis (pp. 58-74), Ewa Orlowska (Ed.), Physica-Verlag, Heidelberg.

Batur, C., C.-C. Chan, and A. Srinivasan (1997), "Fuzzy model based fuzzy predictive controller," in METHODS AND APPLICATIONS OF INTELLIGENT CONTROL (pp. 173-196), Spyros G. Tzafestas (Ed.), Kluwer Academic Publishers.


Chan, C.-C. and G.-H. Tzeng, “Bit-Vector Representation of Dominance-Based Approximation Space,” (under review).

Ou Yang, Y.-P., H.-M. Shieh, G.-H. Tzeng, L. Yen and C.-C. Chan (2009), “Combined rough sets with flow graph and formal concept analysis for business aviation decision-making,” The Journal of Intelligent Information Systems, Springer, November 12, 2009. ISSN: 0925-9902 (Print) 1573-7675 (Online). DOI: 10.1007/s10844-009-0110-y.

Chan, C.-C. and G.-H. Tzeng (2009), “Dominance-Based Rough Sets Using Indexed Blocks as Granules,” Fundamenta Informaticae, Vol. 94, No. 2, 2009, pp. 133-146.

Huang, C.-Y., G.-H. Tzeng, C.-C. Chan and H.-C. Wu (2009), “Semiconductor Market Fluctuation Indicators and Rules Derivations by using the Rough Set Theory,” Int. Journal of Innovative Computing, Information and Control, Vol. 5, No. 6, June, 2009, pp. 1485-1503.

Chan, C.-C. (2004), “Learning rules from very large databases using rough multisets,” LNCS Transactions on Rough Sets, (J. Peters, A. Skowron, J.W. Grzymala-Busse, B. Kostek, R.W. Swiniarski, M. Szczuka Eds.), Vol. 1, pp. 59 – 77, Springer –Verlag Berlin Heidelberg, 2004.