With the huge amount of information available online the World Wide Web is a fertile area for data mining research. The Web has become a major vehicle in performing research and education related activities for researches and students. Web mining is the use of data mining technologies to automatically interact and discover information from web documents, which can be in structured, unstructured or semistructured form. We present an enterprise framework regarding semantic web mining in distance learning, which can be used to not only improve the quality of web mining results but also enhances the functions and services and the interoperability of long distance educational information systems and standards in the educational field. For on line distance education system we propose an Ontology-based approach to share online data and retrieve all relevant data about students and their courses. Thus semantic web ontology help build better web mining analysis in educational institute and web mining in-turns helps contract basis more powerful ontology in distance learning. Since the majority of the online data considered as private data we need various mechanism for privacy preservation and control over the online presence data. We propose privacy protection in semantic web mining using role back access control.

Abstract- The increasing volume of data available on the Web as well as data's lack of structure, multidimensionality, large volume and dynamic evolution make information retrieval a tedious and difficult task. The Semantic Web is an extension of the current Web that allows the meaning of information to be precisely described in terms of well-defined vocabularies that are understood by people and computers. The core of the Semantic Web is ontology, which is used to explicitly represent our conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF and OWL. We have proposed semantic web mining for an ERP application based on educational domain. The proposed system helps to find suitable semantic data related to students, faculties and courses for the clients.

Abstract — The objective of the present paper is advancement of knowledge and theoretical understanding of the relations among variables for the study and development using data mining in higher education system and its solution for Madhya Pradesh state. New knowledge takes three main forms: Exploratory research: which structures and identifies new problems, Constructive research: develops solutions to a problem, Empirical research: tests the feasibility of a solution using empirical evidence. The research methodology includes two distinct methods of research either primary or secondary. This study is a survey based followed by the developmental study of data mining in higher education Madhya Pradesh state. The terms indicate that, through theory generation, basic research provides the foundation for the better exploration of data mining research. Based on the information analyzed, it is stressed that the data