A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining
Keywords:
Data Mining, Data Processing, Outsource Services, Market basket analysis, Ajax TechniqueAbstract
Importance of data mining has been increased rapidly for business domains like marketing, financing and telecommunications. The business organizations urgent need to discover the valuable information and knowledge from the huge data. We can analyze a customer's purchasing habit or their interests of buying items in market basket analysis. This kind of discovery may help in developing the better marketing strategies. Depending on this strategy this survey paper is based on developing fast processing recommendation engine which suggests the customers for purchasing the needed commodities with the main item. This survey paper focuses on different important association rule mining algorithms like Apriori, FP-Growth and Weighted FP-Growth and on enhancing the processing speed of positive and negative associations rule mining.
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