Empowering Document Clustering Through Multi View-Point Based Similarity Measure
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 8
Abstract
Among data mining technique, clustering is one of the most important and traditional concept also an unsupervised learning paradigm. Similarity of a document pairs can be measured by matching of concepts. Finding or extracting the most relevant concept from the documents is a challengeable task. To address this issue, in this paper we introduce a concept of multi view point based similarity measure. Our proposed methods uses multiple point of reference between document pairs to extract more relevant match concept rather than extracting only ideas based on similarity measure. Using multiple view point, gathers more information about a particular topic from many different but relevant sources or concept. This strategy works well with smaller documents but is especially effective with longer documents. By gathering more relevant concepts from the documents with multiple points of reference, the document organization and retrieval can enhance the ability to make the most use of the documents held in storage and make retrieval of ideas as well as relevant task or concept much easier and faster. Experimental results shows that our proposed method efficiently extract more relevant concept.
Authors and Affiliations
M. John Basha and Dr. S. Srinivasan
A Public Auditing Framework for Cloud Storage Security
Commoditization of computing resources has become a reality with cloud computing which is a new computing model. Users are no longer required to invest on procuring computing resources. Instead they use resources pro...
Delegating Auditing Task to TPA for Security in Cloud Computing
This paper explains. Proposing a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasurecoded data. Extension is introducing Third Party auditing users can sa...
Reliable Algorithm for Extracting Web Data
Web usage mining is a process of extracting useful information from server logs i.e. users history. Web usage mining is the process of finding out what users are looking for on the Internet. Some users might be look...
A Novel Symmetric Key Cryptography Algorithm for Improving Privacy of Data in Cloud Servers
In this paper, a cryptography technique, Novel Symmetric Key Cryptography algorithm is used to improve the data security and access control in the environment of Cloud Computing. The users upload the personal data ov...
Identifying and Analyzing Efficient Pattern Discovering Techniques for Text Mining
Mining is the process of finding a small set of valuable nuggets from a great deal of raw materials. Mining of gold from rocks or sand is known as gold mining. The same way, text mining is the discovery of interestin...