A generalized Framework of Privacy Preservation in Distributed Data mining for Unstructured Data Environment
The management of unstructured data is recognized as one of the major unsolved problems in the information industry and data mining paradigm. Unstructured data in computerized information that either does not have a data model and there are not easily usable by data mining. This paper proposes a solution to this problem by managing unstructured data in to structured data using legacy system and distributed data partitioned method for gives distributed data for mining multi text documents. This frame work gives the testing of the similarities among text documents and privacy preserving meta data hiding technique, which are explored in text mining.
Keywords: Unstructured data, Privacy preserving data mining, Distributed data mining, Testing Similarity.
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ABOUT THE AUTHORS
V. Thavavel
Assistant Professor(SG),Department of Computer Applications, Karunya University, Coimbatore, Tamilnadu, India-641 114.
S. Siva Kumar
Research Scholar, Department of Computer Applications, Karunya University, Coimbatore, Tamilnadu, India-641 114.
V. Thavavel
Assistant Professor(SG),Department of Computer Applications, Karunya University, Coimbatore, Tamilnadu, India-641 114.
S. Siva Kumar
Research Scholar, Department of Computer Applications, Karunya University, Coimbatore, Tamilnadu, India-641 114.