Due to its simple and inherently vulnerable nature, e-mail communication is abused for
numerous illegitimate purposes. E-mail spamming, phishing, drug trafficking, cyber bullying …

ABSTRACT A novel method of efficient spam mail classification using clustering techniques
is presented in this research paper. E-mail spam is one of the major problems of the today's …

A multi-label variant of email classification named ML-EC2 (multi-label email classification
using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based on …

The International Series on Computer Entertainment and Media Technology presents
forward-looking ideas, cutting-edge research, and in-depth case studies across a wide …

Business-to-consumer (B2C) emails are usually generated by filling structured user data (eg
purchase, event) into templates. Extracting structured data from B2C emails allows users to …

Large email data sets are often the focus of criminal and civil investigations. This has
created a daunting task for investigators due to the extraordinary size of many of these …

The forensic investigation of communication datasets which contain unstructured text, social
network information, and metadata is a complex task that is becoming more important due to …

Email mining is a process of discovering useful patterns from emails. Clustering techniques
can be applied over email data to create groups of similar emails. An email can be …

Unsupervised template induction over email data is a central component in applications
such as information extraction, document classification, and auto-reply. The benefits of …

Methods, apparatus, systems, and computer-readable media are provided for generating
and applying outgoing communication templates. In various implementations a corpus of …