Novel approach for finding patterns in product-based enhancement using labeling technique

Abstract

The main problem nowadays is that even if the meetings go perfectly to formulate and sell a product, there are chances that the product may fail. So how to understand the product capacity and its future scope depends upon the team of individual managers such as finance, sales, technical, accounts. We need to make a method so that anonymous entries of all the managers can be taken into consideration about the product and then a central administrator or the chief manager can then log on to the system where entries have taken place and then understand the comments and requirements of the various sub-ordinates for the product. So for that concern, we have defined a method or series of steps that can help the company executives understand that where the need is and how to bring about the changes in the product. This particular mechanism can also be used for software fault prediction and other activities such as trip planning and meeting schedule. For that, we can create a tree-based structure mechanism and define the sessions so that each session can accommodate the individual’s opinion, and after that session, if rectification is performed, we can take the opinion in the second session itself so that we can understand the product more precisely. But the main disadvantage is that the commands such as propose, acknowledgment, and negative response do not have a fixed structure or a notion that can differentiate them from one another. In the proposed work, fixed nodal values or labels can be assigned so that the labels association can be formulated and confidence values can be instantiated.