Information Retrieval Using Data Mining

Abstract

The expansion of information processing has generated huge quantity of data bank and large data in different domain. Free Conjoin is modify in fact extract organization since it can get any section of matter stored in data collection by more flaccidity and in well-organized manner. Therefore, the fact extract organization can be categorize according to the kinds of data collection. Data mining is faced with some major issues like information retrieval, similarities and differences in spatial data mining techniques, and mining of data clusters. To learn about data mining, a review process involving four stage approaches has been undertaken for 40 research papers which were published in the period of year 2001 to year 2014. After an exhaustive review process, seven key issues were found “Information retrieval, Similarities and differences in spatial data mining techniques, Mining of data clusters, changing in land price, data load balancing, privacy protection, and gap between academia and business tools.” problems have been resolved and explained through the use of appropriate approaches. Various research have found a number of approaches to solve the problem. In this article, the review's conclusions are given in the form of multiple findings. The results covered the algorithms and approaches utilized to tackle a specific study topic, as well as their strengths and drawbacks, as well as the scope for future research in the field.