Next Meeting: Wed, Dec 12 2012

Applied Enterprise Semantic Mining

Language: English
Event Type: In-Person
Online Meeting URL: None
RSVPURL: http://www.eventbrite.com/event/4532956194?ref=ebtn

Come join us for our 3rd meeting

When

iCal
UTC : Wed, Dec 12 2012 23:00 - 01:00
Event Time : Wed, Dec 12 2012 18:00 - 20:00 (GMT-05:00) Eastern Time (US & Canada)
Your Local Time: Wed, Dec 12 2012 23:00 - 01:00

Where

3301 College Avenue - Room #4030
Fort Lauderdale, Florida 33314
Direction: None

Featured Presentation

Applied Enterprise Semantic Mining

Speaker: Mark Tabladillo, Data Mining Architect MarkTab Consulting

Summary: SQL Server 2012 debuts a new Semantic Platform (commonly known as the Semantic Search applied task). This text mining technology leverages the already established Full Text Index and builds semantic indexes in a two-phase process. This session’s detailed description and demo give you important information for the enterprise implementation of Tag Index and Document Similarity Index. The demo is a web-based Silverlight application showing how to interactively use semantic search. Currently, the indexes work for 15 languages. We’ll also look at strategy tips for how to best leverage the new semantic technology with existing Microsoft text and data mining functionality. I developed this talk not just because of the new semantic search technology in SQL Server 2012, but also because I believe text mining will account for the majority of what we today generally call “data mining”. I have already presented this topic at a SQL Saturday Atlanta, and got great response from the audience. I plan to bring demos which can illustrate the power of FileTable and ease of building text mining in the targeted enterprise office environment. Microsoft created this technology for the millions of documents, and the good news I will share is that the technology scales linearly.

About Mark: Mark Tabladillo, a Microsoft MVP and SAS expert. He helps teams become more confident in making actionable business decisions with the use of data mining and analytics. Mark provides training and consulting for companies in United States and around the world. He also teaches part-time with the University of Phoenix. He tweets @marktabnet and blogs at http://marktab.net

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