• P.Nithya

Data mining is the process of extracting useful information from the large amount of data stored in the database. Data mining tools and techniques helps to predict business trends those can occur in near future. Data mining is the procedure of mining knowledge from the data. The information or knowledge extracted so can be used for the following applications are Market Analysis, Fraud Detection, Customer Retention, Production Control, Science and Exploration. Market basket analysis is an important component of analytical system in retail organizations to determine the placement of goods, designing sales promotions for different segments of customers to improve customer satisfaction and hence the profit of the supermarket. Association rule mining is an important technique to discover hidden relationships among items in the transaction. The goal of this paper is to experimentally evaluate an Apriori algorithm for predicting customer behavior. It is a classic algorithm used in data mining for learning association rule. It is very important for effective market basket analysis and its helps the customer in purchasing their items with more ease which increase the sales of the markets. A key concept in Apriori algorithm is the anti-montoicity of the support measure. It assumes that all subsets of a frequent item set must be frequent, similarly for any infrequent item set all its supersets must be infrequent too. Frequent Pattern Mining is a very important undertaking in data mining. Apriori approach applied to generate frequent item set generally espouse candidate generation and pruning techniques for the satisfaction of the desired objective.

data mining apriori algorithm association rule mining

"A PREDICTION OF CUSTOMER BEHAVIOR USING APRIORI ALGORITHM WITH ASSOCIATION RULE MINING WITH REAL TIME DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.600-606, June-2019, Available :http://www.jetir.org/papers/JETIR1906375.pdf

"A PREDICTION OF CUSTOMER BEHAVIOR USING APRIORI ALGORITHM WITH ASSOCIATION RULE MINING WITH REAL TIME DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp600-606, June-2019, Available at : http://www.jetir.org/papers/JETIR1906375.pdf