Data Mining and Knowledge Engineering

W. Sajitha Begam ¹, D. Saravanan ¹

Affiliations
1 Department of Information Technology, IFET College of Engineering, Villupuram, IN

Abstract

The data is the collection of information and to retrieve this information using searching tool. The records are retrieved based on ranking system with massive amount. The exact information will not be retrieved and more time is taken to view each and every records. To overcome this problem, keyword based searching is used. With the help of keyword search more number of records is reduced and retrieve the exact information in short time. For each and every search session key is created using Top-k algorithm. This session key is used for getting the same records for particular keyword instead of searching. The clustering algorithm is used for grouping the records.

Keywords

Information, Massive Amount, Keyword Search, Session Key, Ranking System, Retrieve, Records.

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D. Saravanan ¹, S. Srinivasan ²

Affiliations
1 Sathyabama University, Chennai-119, IN
2 Anna University of Technology, Madurai, IN

Abstract

Video clustering is one of the important tasks in video data mining. We discuss about the different video clustering techniques using hierarchical clustering algorithms like CURE, BIRCH, and CHAMLEON. Set of video frames are clustered using the hierarchical clustering algorithms. As a result of comparison of results all the hierarchical algorithms offer good performance for some set of video files only. That is each clustering algorithm shows best clustering on particular video files only. It fails to forms best clusters of all type of video files. Hence we propose a hierarchical clustering algorithm that offers best clustering performance for all type of video files at any circumstances.

Keywords

Clustering Algorithm, Hierarchical Clustering Algorithm, Video Clustering, Video Data Mining.

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