期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：10
出版社：S.S. Mishra
摘要：Pattern recognition is a primary conceptual activity of the human being. Even without our awareness, clustering on the information that is conveyed to us is constant. This clustering activity is frequently based on a few selected properties and is not exempt from personal prejudice. Data mining is the process of automatically discovering useful information in large repositories. Data mining techniques are deployed to scour large databases in order to find novel and useful patterns that might otherwise remain unknown. Clustering is an important data -mining technique used to find data segmentation and pattern information. Clustering delineates operation for objects within a dataset having similar qualities into homogeneous groups. Traditional Estates Property dealing applications uses algorithms based on either the location factor or the quality attributes related with the property. The project presents a platform which basically combines both the factors for property dealing.In reality, objects not only have locations but also have quality attributes Traditional queries ignore quality attributes, whereas conventional dominance-based queries neglect locations. Motivated by these observations, we propose an application by combining and quality attributes together meaningfully. So, here it is proposed new algorithm based on Local Gathering Feature which gives better result by taking into account local feature of the available property, and give the result within the threshold calculated dynamically based on user query and requirement
