A NOVEL APPROACH FOR PATTERN ANALYSIS FROM HUGE DATAWAREHOUSE
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 5
Abstract
Due to the tremendous growth of data and large databases, efficient extraction of required data has become a challenging task. This paper propose a novel approach for knowledge discovery from huge unlabeled temporal databases by employing a combination of HMM and K-means technique. We propose to recursively divide the entire database into clusters having similar characteristics, this process is repeated until we get the cluster’s where no further diversification is possible. Thereafter, the clusters are labeled for knowledge extraction for various purposes.
Authors and Affiliations
BABITA , PARAMJEET RAWAT , PARVEEN KUMAR
Keywords
Related Articles
- EP ID EP147467
- DOI -
- Views 105
- Downloads 0
Identification and Removal of Impulsive noise using Hypergraph Model
Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image,...
Class hierarchy method to find Change-Proneness
Finding Proneness of software is necessary to identify fault rone and change prone classes at earlier stages of development, so that those classes can be given special ttention. Also to improves the quality and reliabili...
Multi-constrained QoS Multicast Routing based on the Genetic Algorithm for MANETs
A wireless MANET is a collection of wireless mobile hosts that dynamically create a temporary network without a fixed infrastructure. The topology of the network may change unpredictably and frequently. Therefore, multic...
Software efforts estimation using Use Case Point approach by increasing Technical Complexity and Experience Factors
An IT industry wants a simple and accurate method of efforts estimation. Estimation of efforts before starting of work is a prediction and prediction always not accurate. Intermediate COCOMO considered 17 factor that aff...
NODE ADDRESSING SCHEMES FOR SCALABLE ROUTING IN HIERARCHICAL WSN
Wireless Sensor Network has a capacity of communication computation with node in a network. The sensor performs many significant tasks in a selective area. In this paper proposing the new idea to improve issues on node a...