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

270 citations · 551 across the 9 of their papers we have counts for

collaborators

9 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…

quant-ph2020

Quantum Image Processing -- Challenges and Future Research Issues

Sanjay Chakraborty, Sudhindu Bikash Mandal, Soharab Hossain Shaikh

Image processing on quantum platform is a hot topic for researchers now a day. Inspired from the idea of quantum physics, researchers are trying to shift their focus from classical…

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.CY2016185 cited

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…

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…