Update and illustration on granular computing: Practices, theory and future directions

Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010

Volumn , Issue , 2010, Pages 32-33

  Lin, Tsau Young ^a  

^a SAN JOSE STATE UNIVERSITY   (United States)

Author keywords

Functions; Granular computing; Partial covering; Turing machines

Indexed keywords

FUTURE DIRECTIONS; PARTIAL COVERING;

GRANULAR COMPUTING; MACHINERY; SYSTEMS SCIENCE; TURING MACHINES;

ROUGH SET THEORY;

EID: 77958544032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GrC.2010.50     Document Type: Conference Paper

References (9)

1. Lin, T. Y. (2009): Granular Computing: Practices, Theories, and Future Directions. Encyclopedia of Complexity and Systems Science 2009: 4339-4355.
2. Lin, T. Y. (2009b): Deductive Data Mining using Granular Computing. Encyclopedia of Database Systems 2009: 772-778.
3. Lin, T. Y., Pan, J(2009c): Granular Computing and Information Analysis on Discretionary Access Control: Solving the Propagation Problem. IEEE SMC 2009.
4. Lin, T. Y. (2008a): Knowledge Based Search Engine: Granular Computing on the Web. WI 2008.
5. Lin, T. Y., Zhang S.(2008b): An Automata Based Authorship Identification System. PAKDD Workshops 2008: 134-142.
6. Baliga, P., Lin, T. Y.(2005) : Kolmogorov complexity based automata modeling for intrusion detection. GrC 2005: 387-392.
7. Asmi Shah(2009) DNA Sequence Representation by Use of Statistical Finite Automata, Thesis San Jose State University.
8. Lin, T. Y. (1993) Rough Patterns in Data - Rough Sets and Intrusion Detection Systems, Journal of Foundation of Computing and Decision Sciences Vol.18, No. 3-4, 1993. 225-241.
9. Zadeh, L.A. (1998): Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems, Soft Computing, 2, 23-25.