Proposals Assignment using Fuzzy C-Means and CART Algorithm

The big challenge for many areas such as business, marketing, medical science etc. is management of information. The solution for this is provided by the data mining. The application of data mining is text mining, which provides methods such as classification, clustering etc. to extract the important information from unstructured data or text documents. The technique which is used for grouping similar data objects into one group or cluster is known as clustering. This paper represents proposed method for allotting the proposals according to their quotations like time, technology etc. According to the quotation’s decision is taken that how much experienced team is needed for the proposal. The proposals are clustered according to the technology and the experience. This makes easy for work organisation or large companies for assigning proposals according to experience and technology using the data mining techniques. This paper also represents the comparison between proposed and previous work on the basis of different parameters like precision, recall etc. Keywords— Data mining, Classification, Clustering, Decision tree, CART, Fuzzy c means