Reducing E-Discovery Cost by Filtering Included Emails
نویسنده
چکیده
As business activities becoming more digitalized, electronic information is often produced as vital evidence during civil litigation. The process of discovering information as evidence is getting increasingly expensive as the volume of data explodes. This surging demand calls for a solution to reduce the cost associated with discovery. In this paper, we propose filtering included emails as a means to reduce the volume of review data, and describe efficient algorithms to identify those emails. Experiments show that this can reduce the number of emails to be reviewed by 20% in a corporate email corpse.
منابع مشابه
An Anti-spam Filter Combination Framework for Text-and-Image Emails through Incremental Learning
We present an anti-spam filtering framework that combines text-based and image-based anti-spam filters. First, an incremental learning approach to reducing mismatches between training and test datasets is proposed to resolve the problem of a lack of training data for legitimate emails that contain both text and images. Then, the outputs of text-based and image-based filters are combined with th...
متن کاملCost Effectiveness of Laminar Flow Systems for Total Shoulder Arthroplasty: Filtering Money from the OR?
Background: Laminar flow ventilation systems were developed to reduce surgical contamination in joint arthroplastyto avoid periprosthetic joint infection (PJI). The goals of this study are to evaluate the cost-effectiveness and economicviability of installing and maintaining a laminar flow system in an operating room.Methods: A Monte Carlo simulation was used to evaluate the c...
متن کاملA Critical Analysis of Financial Fraud Spam in English in Terms of Persuasive Strategies: Personalization, Presupposition, and Lexical Choices
The term ‘spam’ addresses unsolicited emails sent in bulk; therefore, the term‘financial fraud spam’ refers to unwanted bulk emails in which different tricks and techniques areemployed to swindle money from the recipients. Estimates show that more than 80% of worldwideemail traffic in 2011 was spam. It should be noted that while the number of daily spam emails in2002 was 2.4 billion, this numbe...
متن کاملSpam Classification Based on E-Mail Path Analysis
Email spam is the most effective form of online advertising. Unlike telephone marketing, email spamming does not require huge human or financial resources investment. Most existing spam filtering techniques concentrate on the emails’ content. However, most spammers obfuscate their emails’ content to circumvent content-based spam filters. An integrated solution for restricting spam emails is nee...
متن کاملImproved Phishing Detection using Model-Based Features
Phishing emails are a real threat to internet communication and web economy. Criminals are trying to convince unsuspecting online users to reveal passwords, account numbers, social security numbers or other personal information. Filtering approaches using blacklists are not completely effective as about every minute a new phishing scam is created. We investigate the statistical filtering of phi...
متن کامل