activity
20122016
most citedNormalization based K means Clustering Algorithm

23 citations · 134 across the 22 of their papers we have counts for

collaborators

26 papers

cs.NI2016★ 4 cited

Dynamic Cluster Head Selection Using Fuzzy Logic on Cloud in Wireless Sensor Networks

Payal Pahwa, Deepali Virmani, Akshay Kumar +3

One of the most vital activities to reduce energy consumption in wireless sensor networks is clustering. In clustering, one node from a group of nodes is selected to be a cluster h…

cs.LG2015★ 23 cited

Normalization based K means Clustering Algorithm

Deepali Virmani, Shweta Taneja, Geetika Malhotra

K-means is an effective clustering technique used to separate similar data into groups based on initial centroids of clusters. In this paper, Normalization based K-means clustering…

cs.IR2015

A Novel Framework for Intelligent Information Retrieval in Wireless Sensor Networks

Savneet Kaur, Deepali Virmani, Satbir Jain

Recent advances in the development of the low-cost, power-efficient embedded devices, coupled with the rising need for support of new information processing paradigms such as smart…

cs.CR2014★ 19 cited

Routing Attacks in Wireless Sensor Networks: A Survey

Deepali Virmani, Ankita Soni, Shringarica Chandel +1

Wireless Sensor Networks (WSN) is an emerging technology now-a-days and has a wide range of applications such as battlefield surveillance, traffic surveillance, forest fire detecti…

cs.IR2014★ 4 cited

Aspect Based Sentiment Analysis to Extract Meticulous Opinion Value

Deepali Virmani, Vikrant Malhotra, Ridhi Tyagi

Opinion Mining and Sentiment Analysis is a process of identifying opinions in large unstructured/structured data and then analysing polarity of those opinions. Opinion mining and s…

cs.IR2014★ 17 cited

Sentiment Analysis Using Collaborated Opinion Mining

Deepali Virmani, Vikrant Malhotra, Ridhi Tyagi

Opinion mining and Sentiment analysis have emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to extraction of those lines or phrase in…