Integration of fuzzy logic in data mining to handle vagueness and uncertainty

Bibliographic Details
Main Author: Thomas, Binu
Corporate Author: Mahatma Gandhi University, School of Computer sciences
Format: Ph.D Thesis
Published: 2013
Subjects:
Fuzzy logic, > Data mining, > Fuzzy clustering, > Vagueness.
Online Access:http://hdl.handle.net/10603/28503
LEADER 00594nam a22001457a 4500
100 |a Thomas, Binu.  |9 31685 
245 |a Integration of fuzzy logic in data mining to handle vagueness and uncertainty 
260 |c 2013 
300 |a 178 pages. 
650 |a Fuzzy logic,  |a Data mining,  |a Fuzzy clustering,  |a Vagueness.  |9 31686 
710 |a Mahatma Gandhi University,  |b School of Computer sciences.  |f September, 2013  |k Hard bound  |9 31608 
856 |u http://hdl.handle.net/10603/28503 
942 |c THES 
999 |c 85417  |d 85417 
952 |0 0  |1 0  |4 0  |7 0  |9 77761  |a SOCS  |b SOCS  |d 2016-04-27  |l 0  |p SOCST7  |r 2016-04-27  |w 2016-04-27  |y THES 

Similar Items