Data Mining Extensions

Abstract: Misuse detection is often based on file permissions. That is, each authorized user can only access certain files. Predetermining the mapping of documents to allowable users, however, is highly difficult in large document collections. Initially, we utilized information retrieval techniques to warn of potential misuse. Here, we describe some data mining extensions used in our detection approach.

Abstract: In this work, implementation of Data Mining Extensions (DMX) query on various Data Mining Models is discussed. In last few years, many private companies have extensively used Data Mining for prediction analysis. Similarly, in this paper, implementation of DMX prediction queries on Data Mining Models for e-governance data is discussed. The results derived from DMX predication queries indicate that prediction analysis could be used by administrators for future planning and decision making.

Abstract: PROBLEM TO BE SOLVED: To provide a language schema that integrates multidimensional extensions (e.g., MDX) and data mining extensions (e.g., DMX) for performing data mining operations on data residing in OLAP (on-line analytical processing) cubes. SOLUTION: The schema provides that the cannot only be a relational query, rather a multidimensional query formed using MDX, for example. The operations of model creation, training and prediction are described. COPYRIGHT: (C)2006,JPO&NCIPI

Abstract: The research takes the campus network users logging on the Internet as the analysis object, using the data preprocessing technology to clean up the original data, combined with statistical analysis and data mining technology to analyze the users access log records, which will result in the form of dynamic charts for Web display, by using Microsoft SQL Server 2008 and Microsoft Visual Studio 2010. Take use of intelligent .NET platform, combined with K-means algorithm to cluster the students information. DMX (Data Mining Extensions) will be used to show the mining results on the Web. The realization of the system can not only carry on correct guide to Internet users and regulate the behavior of students, but also have important guiding meaning to managers and policy makers for analysis and making decision.