Authors Examine Use of Text-Mining Techniques in Electronic Discovery
DENVER—May 3, 2012—Two leaders of research and development at Catalyst have helped write a seminal new book on search, Next Generation Search Engines: Advanced Models for Information Retrieval, released in March by IGI Global.
Bruce Kiefer, leader of the platform group at Catalyst, and Reed Esau, a platform architect focused on research and development at Catalyst, together with Michael W. Berry, associate director of the Center for Intelligent Systems & Machine Learning at the University of Tennessee, co-authored the book’s chapter, “The Use of Text Mining Techniques in Electronic Discovery for Legal Matters.”
As volumes of e-discovery data have outgrown the manual processes long used to make relevance judgments, the authors explain how methods of text mining and information retrieval, including predictive coding, can be used to help reduce data volumes. Acknowledging that text-mining techniques have so far delivered uneven results, they start the chapter by looking at the historical bias of the collection process. They then examine how tools like classifiers, latent semantic analysis, and non-negative matrix factorization can deal with nuances of the collection process.
Their chapter is part of a book intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available options and to engage in a dialogue with software and data providers. The aim of the book is to give readers a better understanding of the latest trends in applied research.
Bruce Kiefer leads the platform group at Catalyst, including engineering and development, and is vice president of the company’s Hosting Applications Division. He has worked in IT for many years, helping to build, deploy, manage, scale and repair networks and systems that solve problems. Before joining Catalyst in 2005, he was vice president of operations for Viawest Internet Services.
Reed Esau is a platform architect at Catalyst who focuses on research and development. He was instrumental in architecting and developing the infrastructure for Catalyst’s new Insight e-discovery platform. With Catalyst for eight years, he has worked in software development for nearly two decades.
The book was edited by Christophe Jouis, assistant professor at the University Paris Sorbonne Nouvelle, France; Ismail Biskri, professor in computational linguistics and artificial intelligence at the computer science department of the University of Quebec at Trois-Rivières; Jean-Gabriel Ganascia, professor of computer science at Paris University Pierre et Marie Curie; and Magali Roux, research director at France’s National Center for Scientific Research.
Catalyst provides secure, scalable multi-lingual document repositories for electronic discovery, litigation support, and other complex regulatory matters. For over a decade, corporations and their counsel have relied on Catalyst to control litigation costs and make review teams more effective. Our systems and supporting services cover the heart of the litigation lifecycle-from processing and search, to analytics, review, production and trial.
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