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Thoughts on e-discovery, computers, and software development. (by Bill Dimm)

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Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development | Thoughts on e-discovery, computers, and software development. | blog.cluster-text.com Reviews

https://blog.cluster-text.com

Thoughts on e-discovery, computers, and software development. (by Bill Dimm)

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SSD Storage Can Lose Data When Left Without Power | Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development

http://blog.cluster-text.com/2015/05/10/ssd-drives-can-lose-data-when-left-without-power

Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development. Thoughts on e-discovery, computers, and software development. SSD Storage Can Lose Data When Left Without Power. I came across this article. This entry was posted in Uncategorized. May 10, 2015. Highlights from the NorCal eDiscovery and Information Governance Retreat 2015. Using Extrapolated Precision for Performance Measurement →. Leave a Reply Cancel reply. Enter your comment here.

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Predictive Coding Performance and the Silly F1 Score | Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development

http://blog.cluster-text.com/2013/05/08/predictive-coding-performance-and-the-silly-f1-score

Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development. Thoughts on e-discovery, computers, and software development. Predictive Coding Performance and the Silly F1 Score. This article describes how to measure the performance of predictive coding algorithms for categorizing documents. It describes the precision and recall metrics, and explains why the F. Score (also known as the F-measure or F-score) is virtually worthless. Because we are inclu...

3

Highlights from DESI VI | Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development

http://blog.cluster-text.com/2015/06/17/highlights-from-desi-vi

Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development. Thoughts on e-discovery, computers, and software development. Highlights from DESI VI. DESI VI was held at the University of San Diego. The slides from my presentation are here. You can find my full set of photos from DESI here. And photos from nearby Presidio Park here. This entry was posted in eDiscovery. June 17, 2015. Using Extrapolated Precision for Performance Measurement. You are co...

4

The Meaning of Relevance Score | Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development

http://blog.cluster-text.com/2013/10/15/the-meaning-of-relevance-score

Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development. Thoughts on e-discovery, computers, and software development. The Meaning of Relevance Score. Ralph Losey’s recent article “ Relevancy Ranking is the Key Feature of Predictive Coding Software. Predictive coding software that produces a relevance score allows documents to be ordered, or ranked, while software that produces a yes/no relevance prediction only allows documents to be separated ...

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eRecall: No Free Lunch | Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development

http://blog.cluster-text.com/2014/09/08/erecall-no-free-lunch

Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development. Thoughts on e-discovery, computers, and software development. ERecall: No Free Lunch. There has been some debate. Here is the equation:. ERecall = (TotalRelevant – RelevantDocsMissed) / TotalRelevant. ERecall = 1 – RelevantDocsMissed / TotalRelevant. 1 – FractionMissed * TotalDocumentsCulled / TotalRelevant. ERecall = 1 – FractionMissed / Prevalence. FractionMissed = 0.20% to 0.30%...Plugg...

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Evaluating E-Discovery

http://blog.codalism.com/index.php/page/2

William Webber's E-Discovery Consulting Blog. Annotator error and predictive reliability. December 27th, 2013. There has been some interesting recent research on the effect of using unreliable annotators to train a text classification or predictive coding system. Why would you want to do such a thing? And we'd like to know what the effect of these inconsistencies might be. Read the rest of this entry ». Repeated testing does not necessarily invalidate stopping decision. November 19th, 2013. One of the mo...

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News About Clustify

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Nothing scheduled at the moment. January 21, 2014: Real-Time Predictive Coding Added in Clustify 4.0. July 22, 2013: Clustify 3.2 Adds Graphical Visualization of Clusters. May 9, 2013: Clustify Blog on E-Discovery and Technology Launched. July 16, 2012: Clustify 3.1 Adds Ability to Automatically Ignore Email Headers and Footers for Improved Document Clustering. February 8, 2012: Hot Neuron Announces Free Clustering Month. January 27, 2011: E-mail Threading Added in Version 2.3 of Hot Neuron's Clustify.

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Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development | Thoughts on e-discovery, computers, and software development.

Clustify Blog – eDiscovery, Document Clustering, Predictive Coding, Information Retrieval, and Software Development. Thoughts on e-discovery, computers, and software development. Highlights from DESI VI. DESI VI was held at the University of San Diego. The slides from my presentation are here. You can find my full set of photos from DESI here. And photos from nearby Presidio Park here. This entry was posted in eDiscovery. June 17, 2015. Using Extrapolated Precision for Performance Measurement. The paper ...

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