A Study About Investigating of Effective Factors Influencing Breast Cancer and Identifying TheirRelevance with Data Mining

One of the most common cancers in women is breast cancer which the main idea of thisarticle. Finding information, exact knowledge and diagnosis modeling with respect to the lotsdata is difficult. But Employing new science of data mining and related softwares, makeaccess way is a little easier, as evidenced by the effective deployment of the advancedcenters of scientific method in the world. The goal of this research, using data mining scienceand it softwares for survey data, mining latent information and discover new rules andrecognize different patterns ,thereby reducing experiments and increase their accuracy andultimately use it to help improve the diagnosis and screening. Materials and methods: in thisarticle has been tried two samples of widely used data mining techniques that cluster andhave the name clustering introduces and utilizes the software, with appropriate algorithmsapplied on valid data, consisting of 699 person in the field of breast cancer, the strength oftheir performance review, and to express the relationship between them will be paid. theextraction of important information, including the relationship and dependence between theproperties of the data, benign and malignant class and etc... .The important thing, unfold thesuperiority of the procedures based on the categories and the famous than other clusteringmethods such as neural networks, that they are being interpreted, including methods ofclassification or no need to train the algorithm in clustering methods. a very high ability incancer detection, data mining process, and so reduce costs seem to be very sensible.Therefore, the importance of paying attention to the use of this knowledge, and grantopportunities to researchers in this field that underlie the creation of a great revolution in thefield of medicine, Iran will be very essential, it seems.

Keywords:

Breast cancer , Data mining , RapidMiner , Relevance , New Knowledge