ISSN: (Online) 2321 -4155
ISSN: (Print) 2320 -7000

JOURNAL OF INDIAN RESEARCH (ISSN No. : 2320-7000)
VOLUME : 1, ISSUE : 4,October-December, 2013
 
HYBRID DATA MINING ALGORITHM: AN APPLICATION TO WEATHER DATA
B. Athiyaman, R Sahu & A. Srivastava
 
ABSTRACT
Data mining is an attitude that business actions should be based on learning, that informed decisions are better than uninformed decisions, and measuring results is highly beneficial to analyze the large data sets. Association rule mining is the most commonly used techniques in Data mining. The application rule involves combining algorithms from apriori algorithm and clustering mining applying different kinds of association rules and its extensions on large data sets like weather analysis data . This process is used to analyze meteorological data to find hidden patterns so that the information retrieved can be transformed into usable knowledge. The expansion of earth science data in recent years have been made possible by advances in parallel, highthroughput technologies in the area of earth science. This has ushered in a new era in the area of earth science information system. The paper aims to build an effective and accurate tool to analyze and extract hidden knowledge from this huge data.
 
KEYWORD
Efficient Association, Rule Mining, Market Basket Analysis
 
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