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A novel algorithm for enhancing search results by detecting dissimilar patterns based on correlation method
Joint Authors
Sugumaran, Poonkuzhali
Ravi, Kishore Kumar
Shanmugam, Thirumurugan
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 1 (31 Jan. 2017)
Publisher
Publication Date
2017-01-31
Country of Publication
Jordan
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The dynamic collection and voluminous growth of information on the web poses great challenges for retrieving relevant information.
Though most of the researchers focused their research work in the areas of information retrieval and web mining, still their focus is only on retrieving similar patterns leaving dissimilar patterns which are likely to contain the outlying data.
So this paper concentrates on mining web content outliers which extract the dissimilar web documents taken from the group of documents of same domain.
Mining web content outliers indirectly help in promoting business activities and improving the quality of the search results.
Existing algorithms for web content outliers mining are developed for structured documents, whereas, World Wide Web (WWW) contains mostly unstructured and semi structured documents.
Therefore, there is need to develop a technique to mine outliers for unstructured and semi structured document types.
In this research work, a novel statistical approach based on correlation method is developed for retrieving relevant web document through outlier detection technique.
In addition, this method also identifies the redundant web documents.
Removal of both redundant and outlaid documents improves the quality of search results catering to the user needs.
Evaluation of the correlation method using Normalized Discounted Cumulative Gain method (NDCG) gives search results above 90%.
The experimental results proved that this methodology gives better results in terms of accuracy, recall and specificity than the existing methodologies.
American Psychological Association (APA)
Sugumaran, Poonkuzhali& Ravi, Kishore Kumar& Shanmugam, Thirumurugan. 2017. A novel algorithm for enhancing search results by detecting dissimilar patterns based on correlation method. The International Arab Journal of Information Technology،Vol. 14, no. 1.
https://search.emarefa.net/detail/BIM-693576
Modern Language Association (MLA)
Sugumaran, Poonkuzhali…[et al.]. A novel algorithm for enhancing search results by detecting dissimilar patterns based on correlation method. The International Arab Journal of Information Technology Vol. 14, no. 1 (Jan. 2017).
https://search.emarefa.net/detail/BIM-693576
American Medical Association (AMA)
Sugumaran, Poonkuzhali& Ravi, Kishore Kumar& Shanmugam, Thirumurugan. A novel algorithm for enhancing search results by detecting dissimilar patterns based on correlation method. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 1.
https://search.emarefa.net/detail/BIM-693576
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-693576