activity
20122025
most citedWeb Document Clustering and Ranking using Tf-Idf based Apriori Approach

20 citations · 40 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Atmospheric Noise-Resilient Image Classification in a Real-World Scenario: Using Hybrid CNN and Pin-GTSVM

Shlok Mehendale, Jajati Keshari Sahoo, Rajendra Kumar Roul

Parking space occupation detection using deep learning frameworks has seen significant advancements over the past few years. While these approaches effectively detect partial obstr…

cs.CV2022★ 3 cited

Smart Parking Space Detection under Hazy conditions using Convolutional Neural Networks: A Novel Approach

Gaurav Satyanath, Jajati Keshari Sahoo, Rajendra Kumar Roul

Limited urban parking space combined with urbanization has necessitated the development of smart parking systems that can communicate the availability of parking slots to the end u…

cs.IR2015★ 2 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…

cs.IR2014★ 20 cited

Web Document Clustering and Ranking using Tf-Idf based Apriori Approach

R. K. Roul, O. R. Devanand, S. K. Sahay

The dynamic web has increased exponentially over the past few years with more than thousands of documents related to a subject available to the user now. Most of the web documents…

cs.IR2014★ 10 cited

An Effective Approach for Web Document Classification using the Concept of Association Analysis of Data Mining

R. K. Roul, S. K. Sahay

Exponential growth of the web increased the importance of web document classification and data mining. To get the exact information, in the form of knowing what classes a web docum…