• Parul Choudhary
• Dr. Rohit Kumar Singhal

: Gaming is popular in all age groups. And gaming industry has a turnover of millions. Recently online gaming is becoming more popular among all segments of age groups. But still the profitability of the gaming websites and companies involved in online or offline gaming depends on the paid subscriptions or the paid users. So it is of utmost important to analyze the factors which are responsible for paid customers or the factors responsible for non conversion of users from trial too paid. The Research paper work implies to find the factors which are responsible for the non convertibility of the trail version users to the paid subscribers. 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 result find are quite impressive and results in the accurate factors combinations on which actual work is required to be done.

Game Analysis, Game Based Data Mining, AprioriAlgorithm.

"Novel Approach for Factor Determination in Game Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.547-551, June 2019, Available :http://www.jetir.org/papers/JETIR1907538.pdf

"Novel Approach for Factor Determination in Game Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp547-551, June 2019, Available at : http://www.jetir.org/papers/JETIR1907538.pdf