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20142019
most citedSentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier

270 citations · 537 across the 9 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

cs.DB2014★ 1 cited

Canonical PSO Based k-Means Clustering Approach for Real Datasets

Lopamudra Dey, Sanjay Chakraborty

"Clustering" the significance and application of this technique is spread over various fields. Clustering is an unsupervised process in data mining, that is why the proper evaluati…

cs.CY2014★ 21 cited

Weather Forecasting using Incremental K-means Clustering

Sanjay Chakraborty, N. K. Nagwani, Lopamudra Dey

Clustering is a powerful tool which has been used in several forecasting works, such as time series forecasting, real time storm detection, flood forecasting and so on. In this pap…

cs.DB2014★ 41 cited

Performance Comparison of Incremental K-means and Incremental DBSCAN Algorithms

Sanjay Chakraborty, N. K. Nagwani, Lopamudra Dey

Incremental K-means and DBSCAN are two very important and popular clustering techniques for today's large dynamic databases (Data warehouses, WWW and so on) where data are changed…

cs.CR2014★ 1 cited

A New Advanced User Authentication and Confidentiality Security Service

Sanjay Majumder, Sanjay Chakraborty, Suman Das

Network & internet security is the burning question of today's world and they are deeply related to each other for secure successful data transmission. Network security approach is…

cs.IR2014★ 16 cited

Performance Evaluation of Incremental K-means Clustering Algorithm

Sanjay Chakraborty, N. K. Nagwani

The incremental K-means clustering algorithm has already been proposed and analysed in paper [Chakraborty and Nagwani, 2011]. It is a very innovative approach which is applicable i…