activity
20142023
most citedSentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier

270 citations · 334 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20231 cited

Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model

Sanjay Chakraborty, Saroj Kumar Pandey, Saikat Maity +1

Attackers are now using sophisticated techniques, like polymorphism, to change the attack pattern for each new attack. Thus, the detection of novel attacks has become the biggest c…

cs.IR2016270 cited

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…

cs.DB20141 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.CY201421 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.DB201441 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…