Dhara Kalola | Mumbai - Academia.edu (original) (raw)

Dhara  Kalola

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Volume 2 Issue 11 by Dhara Kalola

Research paper thumbnail of Weblog Analysis with Map - Reduce  and Performance C omparis on of Single v/s  M ultinode Hadoop Cluster

In this internet era websites are useful source of many information. Because of growi... more In this internet era websites are useful source of many information. Because of growing popularity of World Wide Web
a website receives thousands to millions requests perday. Thus,the log files of such websites are growing in size day by day. These log files are
useful source of information to identify user’s behavior. This paper is an attempt to analyze the weblogs using Hadoop Map-Reduce algorithm.
Hadoop is an open source framework that provides parallel storage and processing of large datasets. This paper makes use of Hadoop’s this
feature to analyze the large, Semi structured dataset of websites log.
The performance of the algorithm is compared on pseudo distributed and fully distributed mode Hadoop cluster

Papers by Dhara Kalola

Research paper thumbnail of A Survey on Recommender Systems

International Journal of Scientific and Research Publications (IJSRP), 2019

Recommender systems provide user with facilities that the user might be interested in. These syst... more Recommender systems provide user with facilities that the user might be interested in. These systems provide options based on the pattern of usage, certain information and reference with certain characteristics to present recommendations to the user. This paper describes the classification of different recommender systems along with the limitations of each. It also covers some real world applications of recommender systems and possible systems that can be built using recommender system algorithms.

Research paper thumbnail of Weblog Analysis with Map - Reduce  and Performance C omparis on of Single v/s  M ultinode Hadoop Cluster

In this internet era websites are useful source of many information. Because of growi... more In this internet era websites are useful source of many information. Because of growing popularity of World Wide Web
a website receives thousands to millions requests perday. Thus,the log files of such websites are growing in size day by day. These log files are
useful source of information to identify user’s behavior. This paper is an attempt to analyze the weblogs using Hadoop Map-Reduce algorithm.
Hadoop is an open source framework that provides parallel storage and processing of large datasets. This paper makes use of Hadoop’s this
feature to analyze the large, Semi structured dataset of websites log.
The performance of the algorithm is compared on pseudo distributed and fully distributed mode Hadoop cluster

Research paper thumbnail of A Survey on Recommender Systems

International Journal of Scientific and Research Publications (IJSRP), 2019

Recommender systems provide user with facilities that the user might be interested in. These syst... more Recommender systems provide user with facilities that the user might be interested in. These systems provide options based on the pattern of usage, certain information and reference with certain characteristics to present recommendations to the user. This paper describes the classification of different recommender systems along with the limitations of each. It also covers some real world applications of recommender systems and possible systems that can be built using recommender system algorithms.

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