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analysis in data mining is a main application of business. This Investigation describes to present NCDBC algorithm that extends expansion seed selection into a DBSCAN algorithm. And the DBSCAN Algorithm describes the density based clustering concept and also describes its hierarchical additional room OPTICS has been planned newly, and one of the mainly triumphant approaches to clustering. Aim of this research work is to move on the high- tech clustering; mainly density-based clustering by identifying new challenges for density based clustering and proposing inventive for these challenges. In this work the proposed procedure focuses on decrease the number of seeds points and also reduces the execution time cost of searching neighborhood data. And A hierarchical clustering procedure can be useful to these interesting subspaces in order to calculate a Latitude for north and south cities and also calculate Longitude of different cities. The relational record theory select data concentrated applications of engineering level. the Relational data base used in this application for data storage and recover. The main reason of the use of relational data base will provide encouraging practical come near on data of Data Mining. This database presumption has a absolute and well-off account of opinion and developments concerning to the well-organized storage and dealing out of prepared data with extensive knowledge of Multi-Relational Data Mining. data mining Concepts which emphasis to provide a model for a data base and normalize that data base will provide the help for NCDBCLE plan. there are many of the Current developments which deal with large volume of data base and use of concentrated processing for data base provide improved application of NCDBCLE in more finer and complicated areas. In the relational database theory there are various concepts and different customs to encouraged other prepared Data Mining paradigms. NCDBCLE fundamentals various approaches for larger records. the proposed work provide the understandability for relational groundwork. which is helpful for the concept of this proposed work, the proposed work successfully created solution that is not highlighted before in any challenges in this area. 2. REVIEW

recent advancement in data mining technology to analyze vast amount of data has played an important role in several areas of Business processing. Data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that from non-sensitive data, one is able to infer sensitive information, including personal information, fact or even patterns which are generated by any algorithm of data mining. In order to focusing on privacy preserving association rule mining, the simplistic solution to address the problem of privacy is presented. The solution is to survey different aspects which are discussed in the several research papers and after analyzing those research papers conclude a new solution which is best in efficiency and performance. Before analyzing the algorithms, the data structure of database and sensitive association rule mining set have been analyzed to build the more effective model.