Domain Orientation by Feature Modeling and Recommendation for Product Classification

Abstract

Domain Analysis says that activity occurring before system analysis provides domain model. Domain model is input to the system analysis to the designer‘s tasks. Domain analysis is the procedure of identifying, organizing, analyzing, and modeling features common to a specific domain. The complete process is very time consuming and more man power is required for it. There are various projects which require extensive domain analysis activities. In proposed method, recommended system is used to reduce human efforts of performing domain analysis. It is not easy to discover relationship between items in a large database of sales transactions but there are some algorithms for solving this problem. Data mining techniques are used to discover common features across products as well as relationships among those features .Incremental diffusive algorithm is used to extract features. Bi-Partity Distribution technique is used for feature recommendations during the domain analysis process DOI: 10.17762/ijritcc2321-8169.150512