Abstrakt

Implementation of Mining Algorithms for Improving Efficiencies in Product Session Data

Nikhil Gaikwad, Gaurav Chavan, Twinkle Samal, Avinash Sonule

For any business output means product should be perfectly formulated which is decided in meeting and to make meeting successful there should be some strategies analysis to review different opinion of different member in meeting, and based upon that product is successful in market or not. First it was given by Anvil tool which was bit difficult to analyze because it was working on gesture recognition and then it worked on tree-based structure mechanism which created and define the sessions so that each session can accommodate the individual’s opinion, and after that session, if rectification is performed, but commands such as propose, acknowledgment, and negative response do not have a fixed structure or a notion that can differentiate them from one another. So in Proposed system we are using various Data Mining algorithms to label the nodes which differentiate from one another. The experimental results show that Threshold value which will decide future step of the product.