270 citations · 336 across the 7 of their papers we have counts for
7 papers
WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATAC-seq Peaks
Lopamudra Dey
Chromatin regulators can alter transcriptional programs by modifying the accessibility of regulatory DNA elements. Understanding how regulatory sequences differ between wild-type (…
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…
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…
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…