270 citations · 537 across the 9 of their papers we have counts for
10 papers
A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA)
Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar +2
In today world of enormous amounts of data, it is very important to extract useful knowledge from it. This can be accomplished by feature subset selection. Feature subset selection…
Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier
Lopamudra Dey, Sanjay Chakraborty, Anuraag Biswas +2
The advent of Web 2.0 has led to an increase in the amount of sentimental content available in the Web. Such content is often found in social media web sites in the form of movie o…
A review on application of data mining techniques to combat natural disasters
Saptarsi Goswami, Sanjay Chakraborty, Sanhita Ghosh +2
Thousands of human lives are lost every year around the globe, apart from significant damage on property, animal life, etc., due to natural disasters (e.g., earthquake, flood, tsun…
Can JSP Code be Generated Using XML Tags?
Neha Bothra, Kritika Jain, Sanjay Chakraborty
Over the years, a variety of web services have started using server-side scripting to deliver results back to a client as a paid or free service; one such server-side scripting lan…
Weather forecasting using Convex hull & K-Means Techniques An Approach
Ratul Dey Sanjay Chakraborty Lopamudra Dey
Data mining is a popular concept of mined necessary data from a large set of data. Data mining using clustering is a powerful way to analyze data and gives prediction. In this pape…
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…
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…
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…
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…
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…