International Journal of Managing Information Technology (IJMIT)

International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: Automatic Recommendation for Online Users Using Web Usage Mining Authors Dipa Dixit1 and Jayant Gadge2, 1Fr CRIT, India and 2Thadomal Shahani Engineering College, India Abstract A real world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, only option is to capture the intuition of the user and provide them with the recommendation list. Most specifically, an online navigation behavior grows with each passing day, thus extracting information intelligently from it is a difficult issue. Web master should use web usage mining method to capture intuition. A WUM is designed to operate on web server logs which contain user’s navigation. Hence, recommendation system using WUM can be used to forecast the navigation pattern of us...

International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: EXTENDED PSO ALGORITHM FOR IMPROVEMENT PROBLEMS K-MEANS CLUSTERING ALGORITHM  Authors Maryam Lashkari1 and Amin Rostami2 1Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows, Iran. 2Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows, Iran.  Abstract The clustering is a without monitoring process and one of the most common data mining techniques. The purpose of clustering is grouping similar data together in a group, so were most similar to each other in a cluster and the difference with most other instances in the cluster are. In this paper we focus on clustering partition k-means, due to ease of implementation and high-speed performance of large data sets, After 30 year it is still very popular among the developed clus...

International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: WIRELESS SENSOR NETWORK CLUSTERING USING PARTICLES SWARM OPTIMIZATION FOR REDUCING ENERGY CONSUMPTION Authors Amin Rostami1and Mohammad Hossin Mottar2 1Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows , Iran. 2Department of Computer Engineering, Mashhad Branch, Islamic Azad Abstract Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality. The most important issue in this type of networks is energy constraints. In this area several researches have been done from which clustering is one of the most effective solutions. The goal of clustering is to divide network into sections each of which has a cluster head (CH). The task of cluster heads collection, data aggregation and transmission to the base station is undertake...

International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Automatic Recommendation for Online Users Using Web Usage Mining  Ms.Dipa Dixit and Mr Jayant Gadge Fr CRIT , Vashi Navi Mumbai Thadomal Shahani Engineering College,Bandra  ABSTRACT A real world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, only option is to capture the intuition of the user and provide them with the recommendation list. Most specifically, an online navigation behavior grows with each passing day,  thus extracting information intelligently from it is a difficult issue. Web master should use web usage mining method to capture intuition. A WUM is designed to operate on web server logs which contain user’s navigation. Hence, recommendation system using WUM can be used to forecast the navigation patte...

International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: COMMUNITY DETECTION IN THE COLLABORATIVE WEB Authors: Lylia Abrouk, David Gross-Amblard and Nadine Cullot  LE2I, UMR CNRS 5158  University of Burgundy, Dijon, France  Abstract: Most of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit Web  communities and present an approach to automatically detect them, based on user’s resource manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time. Moreover, new resources are dynamically labelled according to who is manipulating them. Our proposal relies on the fuzzy K-means clustering method and is assessed on large movie datasets.  KEYWORDS Clustering, Data sharing, Information net...

COMMUNITY DETECTION IN THE COLLABORATIVE WEB  Lylia Abrouk, David Gross-Amblard and Nadine Cullot LE2I, UMR CNRS 5158 University of Burgundy, Dijon, France  lylia.abrouk@u-bourgogne.fr, david.gross-amblard@u-bourgogne.fr, nadine.cullot@u-bourgogne.fr  ABSTRACT  Most of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit Web communities and present an approach to automatically detect them, based on user’s resource manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time. Moreover, new resources are dynamically labelled according to who is manipulating them. Our proposal relies on the fuzzy K-means clustering method and is assessed on large movie datasets.  KEYWORDS  Clustering, Data sharing, Information networks, user distance, Web community.  Original Source URL :  http:/...