Mining Homophilic Groups of Users using Edge Attributed Node Embedding from Enterprise Social Networks

P Sinha, R Patel, P Mitra, D Thomas… - Companion Proceedings of …, 2022 - dl.acm.org
We develop a method to identify groups of similarly behaving users with similar work
contexts from their activity on enterprise social media. This would allow organizations to …

S3Email: A method for securing emails from service providers

P Singh, S Arora, K Williamson… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
We often send our confidential information such as passport, credit card, social security
numbers over email without concern about the security of email services. Existing network …

Interactive Visual Analysis of Temporal Text Data

A Pandey, K Ranjan, G Sharma, L Dey - Proceedings of the 8th …, 2015 - dl.acm.org
This paper presents a novel interactive visualization technique that helps in gathering
insights from large volumes of text generated through dyadic communications. The …

Knowledge discovery on extracted outlook pst files and emails

K Dheepa, G Annapoorani - 2015 Online International …, 2015 - ieeexplore.ieee.org
Emails organize the bulk of all official communications in an organization. Email repositories
are implicit warehouses of knowledge about projects, people and processes. There would …

[PDF][PDF] Framework for Analyzing and Improving Quality of Available Data for Enterprise Automation Tasks

M Shakir, G Roy, A Sukla, T Dasgupta… - DCCL workshop at …, 2019 - researchgate.net
In this paper we present a framework to automatically analyze and improve quality of
enterprise data for automation tasks. We present methods to segregate non-standard, noisy …

Activity Detection from Email Meta-Data Clustering

M Patidar, S Rohatgi, A Chaudhary… - 2016 IEEE 16th …, 2016 - ieeexplore.ieee.org
Information workers in a large enterprise often deal with large volumes of e-mail traffic every
day. In such a scenario, automatic detection of activities that they are involved in has many …

[引用][C] ENHANCEMENT OF ANALYTICAL CAPABILITIES IN AN EMAIL CLIENT

S Savanur, P Gubbala