Posts Tagged ‘TAR-PC based on an Active Machine Learning approach using a Support Vector Machine’

Three Methods for eDiscovery Document Prioritization

9 April 2012 - Tom Groom of D4 LLC has written a brilliant paper that explores the three primary approaches eDiscovery professionals use to systematically prioritize documents that are being considered for review:

1) Keyword Search

2) TAR-PC based on Categorization with Conceptual Search Technology

3) TAR-PC based on an Active Machine Learning approach using a Support Vector Machine
 

Each of these three approaches has its own unique set of advantages and…

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