activity
20122019
most citedAn effective web document clustering for information retrieval

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2019

A Survey on the Detection of Android Malicious Apps

Sanjay K. Sahay, Ashu Sharma

Android-based smart devices are exponentially growing, and due to the ubiquity of the Internet, these devices are globally connected to the different devices/networks. Its populari…

cs.CR2019

An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU

Sanjay K. Sahay, Mayank Chaudhari

Due to continuous increase in the number of malware (according to AV-Test institute total ~8 x 10^8 malware are already known, and every day they register ~2.5 x 10^4 malware) and…

cs.CR2019

Android Malicious Application Classification Using Clustering

Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi +1

Android malware have been growing at an exponential pace and becomes a serious threat to mobile users. It appears that most of the anti-malware still relies on the signature-based…

cs.DC2016

Covariance estimation for vertically partitioned data in a distributed environment

Aruna Govada, Sanjay K. Sahay

The major sources of abundant data are constantly expanding with the available data collection methodologies in various applications - medical, insurance, scientific, bio-informati…

cs.IR20152 cited

Automated Document Indexing via Intelligent Hierarchical Clustering: A Novel Approach

Rajendra Kumar Roul, Shubham Rohan Asthana, Sanjay Kumar Sahay

With the rising quantity of textual data available in electronic format, the need to organize it become a highly challenging task. In the present paper, we explore a document organ…

cs.IR2015

A Novel Modified Apriori Approach for Web Document Clustering

Rajendra Kumar Roul, Saransh Varshneya, Ashu Kalra +1

The traditional apriori algorithm can be used for clustering the web documents based on the association technique of data mining. But this algorithm has several limitations due to…