Scholarly and Creative Activities Directory

Jianchao (Jack) Han, Ph.D.

Title: Assistant Professor, Computer Science

Department: Computer Science

Office: NSM A-133
Phone Extension: x2624
Email Username: jhan

Show All     Peer-Reviewed Books    Peer-Reviewed Chapters in Books    Peer-Reviewed Journal Articles    Peer-Reviewed Procedings of International Conferences    Grants Awarded    Awards and Honors    


Peer-Reviewed Chapters in Books

  • Han, J., Cercone, N., Principles and Perspectives of Granular Computing, Invited to appear in Encyclopedia of Complexity & System Science, ed. by Robert Meyers, Springer, 2008.
  • Han, J., Object-oriented Analysis and Design: A Granular Computing Approach, invited to appear in Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, ed. by Yao, J., IGI Global, Hershey, Pennsylvania, 2008.
  • Han, J. Lin, T. Y., Li, J., Cercone, N., Constructing Associative Classifiers from Decision Tables, Lecture notes in computer science 4482: 305-313, Springer, 2007.
  • Lin, T. Y., Han, J., High Frequent Value Reduct in Very Large Databases, Lecture notes in computer science 4482: 346-354, Springer, 2007.
  • Dong, J., Han, J., Class and Object, Encyclopedia of Computer Science and Engineering, Wah, B. (Ed.), John Wiley & Sons, Inc., June 2006.
  • Han, J., R. Sanchez, Hu, X., Feature Selection Based on Relative Attribute Dependency: An Experimental Study, Lecture Notes in Computer Science 3641: 214-223, 2005.
  • Han, J., Hu, X., Lin, T., Feature Subset Selection Based on Relative Dependency between Attributes, Lecture Notes in Computer Science 3066:176-185, 2004.
  • Han, J., Hu, X., Lin, T., An Efficient Algorithm for Computing Core Attributes in Database Systems, Lecture Notes in Computer Science 2871: 663-667, 2003
  • Han, J., Hu, X., Lin, T., A New Computation Model for Rough Set Theory Based on Database Systems, Lecture Notes in Computer Science 2737: 381-390, 2003.
  • Hu, X., Lin T., Han, J., A New Rough Set Model Based on Database Systems, Lecture Notes in Computer Science 2639: 114-121, 2003.
  • Han, J., Cercone, N., Hu, X. An Interactive Visualization System for Mining Association Rules, in Data Mining, Rough Sets and Granular Computing, T. Lin, Y. Yao, L. Zadeh (eds.), 145-165, Physica-Verlag, 2002.
  • Hu, X., Cercone, N., Han, J., Ziarko, W., GRS: A Generalized Rough Sets Model, in Data Mining, Rough Sets and Granular Computing, by T. Lin, Y. Yao, and L. Zadeh (Eds.), 447-460, Physica-Verlag, 2002.
  • Han, J., Cercone, N., Interactive Construction of Classification Rules, Lecture Notes in Computer Science 2336: 529-534, 2002.
  • Han, J., Cercone, N., Implementation Issues and Paradigms of Visual KDD Systems, Lecture Notes in Computer Science 2198: 454-463, 2001.
  • Han, J., Cercone, N., Interactive Construction of Decision Trees, Lecture Notes in Computer Science 2035, 575-580, 2001.
  • Han, J., Hu, X., Cercone, N., Supervised Learning: A Generalized Rough Set Approach, Lecture Notes in Computer Science 2005:322-329, 2000.
  • Han, J., An, A., Cercone, N., CViz: An Interactive Visualization System for Rule Induction, Lecture Notes in Computer Science 1822:214-226, 2000.
  • Han, J., Cercone, N., Typical Example Selection for Learning Classifiers, Lecture Notes in Computer Science 1822:347-356, 2000.
  • Han, J., Cercone, N., AVIZ: A Visualization System for Discovering Numerical Association Rules, Lecture Notes in Computer Science 1805: 269-280, 2000.
  • Han, J., Cercone, N., DVIZ: A Visualization System for Data Mining, Lecture Notes in Computer Science 1574: 390-399, 1999.
  • Han, J., Shi, Z., Attribute-based algorithm of learning by analogy, New Generation Computing: Recent Research, Ci, Y., et al (Eds.) Qsinghua University Press, 1990.

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