Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India

C.T. Dhanya,; D. Nagesh Kumar,

doi:10.1515/JISYS.2009.18.3.193

Home Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India

Article Open Access

Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India

C.T. Dhanya, and D. Nagesh Kumar,

Published/Copyright: September 1, 2009

Download Article (PDF)

Published by

Become an author with De Gruyter Brill

Submit Manuscript Author Information

From the journal Journal of Intelligent Systems Volume 18 Issue 3

MLA
APA
Harvard
Chicago
Vancouver

MLA
APA
Harvard
Chicago
Vancouver

Dhanya,, C.T. and Kumar,, D. Nagesh. "Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India" Journal of Intelligent Systems, vol. 18, no. 3, pp. 193-210. https://doi.org/10.1515/JISYS.2009.18.3.193

Dhanya,, C. & Kumar,, D. (). Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India. Journal of Intelligent Systems, 18(3), 193-210. https://doi.org/10.1515/JISYS.2009.18.3.193

Dhanya,, C. and Kumar,, D. () Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India. Journal of Intelligent Systems, Vol. 18 (Issue 3), pp. 193-210. https://doi.org/10.1515/JISYS.2009.18.3.193

Dhanya,, C.T. and Kumar,, D. Nagesh. "Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India" Journal of Intelligent Systems 18, no. 3 (): 193-210. https://doi.org/10.1515/JISYS.2009.18.3.193

Dhanya, C, Kumar, D. Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India. Journal of Intelligent Systems. ;18(3): 193-210. https://doi.org/10.1515/JISYS.2009.18.3.193

Copy

Copied to clipboard

BibTeX EndNote RIS

Published Online: 2009-09

Articles in the same Issue

CONTENTS
Constrained Statistical Decisions in Evolving Environments
Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India
Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers
A Hybrid Clustering Approach for Network Intrusion Detection Using Cobweb and FFT
Recognition of Visual Evoked Potential Responses Containing Cognitive Component (P300) using Reflex Fuzzy Min-Max Neural Network

Search journal Search the content of this journal

https://doi.org/10.1515/JISYS.2009.18.3.193

Creative Commons

BY-NC-ND 3.0

Articles in the same Issue

CONTENTS
Constrained Statistical Decisions in Evolving Environments
Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India
Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers
A Hybrid Clustering Approach for Network Intrusion Detection Using Cobweb and FFT
Recognition of Visual Evoked Potential Responses Containing Cognitive Component (P300) using Reflex Fuzzy Min-Max Neural Network