• Yogesh sharma
• Suraj yadav

For the success of any industry, it is very necessary to get the clear idea about what the customer demands. If the producer gets the clear idea about the demand of consumer then the product success will be there and in turn will raise the sales. The cloth industry is one of the biggest industries of India, and India is one of the world largest consumer market. It is one of the most difficult tasks to get the factors which will affect the demand of the particular product. The research work form the basis of its analysis on the basis of the concept of Apriori Algorithm which has its concept for the factor combination frequency and calculate the frequency of occurrences of each factor, i.e. support. The research work implies to find the factors which results in the decline of the sales of the particular product and one which influence the customers in buying a particular product. In this work, the comparison of the data mining algorithms like arpriori ,fapriori is done with the Four checkpoint based factor association algorithm , which after determining the support also works on the priority of the factors and the results which are achieved are quite impressive and helps in the accurate factors combinations on which actual work is required to be done.

Product Demand Analysis, Factor Combination Predication, Opinion Mining, Apriori Algorithm

"Modified Priority Based Apriori Algorithm For Buyer Influence Cloth Buying", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.5-8, June 2019, Available :http://www.jetir.org/papers/JETIR1907002.pdf

"Modified Priority Based Apriori Algorithm For Buyer Influence Cloth Buying", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp5-8, June 2019, Available at : http://www.jetir.org/papers/JETIR1907002.pdf