Search for Articles:

MECS Press Menu

Bina Bhandari

Work place: Graphic Era Hill University, Dehradun, Uttarakhand, India

E-mail:

Website:

Research Interests: Data Structures and Algorithms, Data Mining, Network Security, Information Security, Hardware Security, Application Security

Biography

Mrs Bina Bhandari is currently working as an Assistant Professor, Department of School of Computing, Graphic Era Hill University. Her area of interest incudes Data Mining, Big Data Analytics, Cyber Security and Cloud Computing. She has published a book on cyber security. She has also published papers in International Conferences and Journals on Data Mining and Big Data.

Author Articles
Quine-McCluskey: A Novel Concept for Mining the Frequency Patterns from Web Data

By Bina Bhandari R. H. Goudar Kaushal Kumar

DOI: https://doi.org/10.5815/ijeme.2018.01.05, Pub. Date: 8 Jan. 2018

With the advancement in the web technology it is considered as one of the vast repository of information. However this information is in the hidden form.  Various data mining techniques need to be applied for extracting the meaningful information from the web. In this paper the various techniques are discussed that have been used by many researchers for extracting the information and also shown the disadvantages with the existing approaches. The paper put forward a novel concept of mining the association rule from the web data by using Quine-McCluskey algorithm. This algorithm is an optimization technique over the existing algorithm like Apriori, reverse Apriori, k-map. This paper exhibits the working of the Quine- McCluskey algorithm that can extract the frequently accessed web pages with minimum number of candidate sets generation. However the limitation of Quine-McCluskey algorithm is that it cannot find the infrequent patterns.

[...] Read more.
Other Articles

Subscribe to receive issue release notifications and newsletters from MECS Press journals