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Helping researchers cope with the medical literature knowledge explosion | KurzweilAI

Helping researchers cope with the medical literature knowledge explosion | KurzweilAI | Text Mining | Scoop.it
(Credit: IBM) Computational biologists at Baylor College of Medicine and analytics experts at IBM research are developing a powerful new tool called the
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Text Analysis: The next step for eDiscovery, Legacy Information Clean-up and Enterprise Information Archiving - ERM Expert Blog

Text Analysis: The next step for eDiscovery, Legacy Information Clean-up and Enterprise Information Archiving - ERM Expert Blog | Text Mining | Scoop.it
Text Analysis: The next step for eDiscovery, Legacy Information Clean-up and Enterprise Information Archiving http://t.co/ueTkIWrX...
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Why Text Mining May Be The Next Big Thing | Business | TIME.com

Why Text Mining May Be The Next Big Thing | Business | TIME.com | Text Mining | Scoop.it
"Big Data" is a hot topic in the business world these days. But there's a subset of this broad field that has yet to take a turn in the spotlight.
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Internet-Scale Pattern Recognition - PDF Free Download - Fox eBook

Internet-Scale Pattern Recognition - PDF Free Download - Fox eBook | Text Mining | Scoop.it
Internet-Scale Pattern Recognition PDF Free Download, Reviews, Read Online, ISBN: 146651096X, By Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution

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Fox eBook's curator insight, January 9, 2014 8:32 PM

Part I: Recognition: A New Perspective
Chapter 1: Introduction
Chapter 2: Distributed Approach for Pattern Recognition
Part II: Evolution of Internet-Scale Recognition
Chapter 3: One-Shot Learning Considerations
Chapter 4: Hierarchical Model for Pattern Recognition
Chapter 5: Recognition via Divide-and-Distribute Approach
Part III: Systems and Tools
Chapter 6: Internet-Scale Applications Development
Part IV: Implementations and Applications
Chapter 7: Multi-Feature Classifications for Complex Data
Chapter 8: Pattern Recognition within Coarse-Grained Networks
Chapter 9: Event Detection within Fine-Grained Networks
Part V: The Way Forward
Chapter 10: Recognition: The Future and Beyond

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Ontotext Releases S4 Text Mining & Semantic Technology in the Cloud

Ontotext Releases S4 Text Mining & Semantic Technology in the Cloud | Text Mining | Scoop.it

Ontotext (BU, semantic technology) has released its Self Service Semantic Suite (S4) providing a complete set of tools that developers can use to build text mining and semantic applications. Fully hosted, low cost and on demand, S4 includes proven text mining technology, Linked Open Data for enrichment, the world's most powerful RDF triplestore (GraphDB) and a set of tools for developers to build and deploy cloud-based semantic applications.


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How bio-inspired deep learning keeps winning competitions

How bio-inspired deep learning keeps winning competitions | Text Mining | Scoop.it
Dr. Jürgen Schmidhuber is Director of the Swiss Artificial Intelligence Lab, IDSIA. His research team's artificial neural networks (NNs) have won many

 

AA: In several contests and machine-learning benchmarks, your team’s NNs are now outperforming all other known methods. As The New York Times noted Friday, last year, a program your team created won a pattern recognition contest by outperforming both competing software systems and a human expert in identifying images in a database of German traffic signs.

 

“The winning program accurately identified 99.46 percent of the images in a set of 50,000; the top score in a group of 32 human participants was 99.22 percent, and the average for the humans was 98.84 percent,” the Times pointed out. Impressive. What is the importance of traffic sign recognition in this field?

 

JS: That was from the IJCNN 2011 Traffic Sign Recognition Competition. This is highly relevant for self-driving cars as well as modern systems for driver’s assistance.

 

BTW, if you don’t obey a traffic sign in Switzerland,  you go to jail. However, across the border there is Italy. There you’ll also find traffic signs in the street, but only for decoration. :)


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WASA 2013 - 3rd Workshop on Applications of Software Agents

WASA 2013 - 3rd Workshop on Applications of Software Agents | Text Mining | Scoop.it

Sinaia, Romania, October 11-13, 2013

 

Software agent technologies reached a certain level of maturity that allows development of applications spanning from lab prototypes to mature real-life systems, in domains that could have not been imagined before. Furthermore, software agent technologies proved their usefulness in synergy with methods of intelligent computing and artificial intelligence.

 

The aim of the WASA series of workshops is to contribute to the advancement of technologies and applications of software agents' with a special interest in intelligent computing including, but not limited to reasoning, semantics, pattern recognition, learning and cognition, etc.


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Infotrieve Successfully Completes Cloud-Based Text Mining Pilot ...

Infotrieve Successfully Completes Cloud-Based Text Mining Pilot ... | Text Mining | Scoop.it
[Infotrieve] today announced that it has completed a pilot project that included the successful implementation of a beta text mining solution leveraging the capabilities of the Mobile Library platform.
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Text Mining for Beginners

This is a brief introduction to text mining for beginners. Find out how text mining works and the difference between text mining and key word search, from th...
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User-Curated Search Engine Allows Creation of Custom Collaborative Search Spaces: zResearch

User-Curated Search Engine Allows Creation of Custom Collaborative Search Spaces: zResearch | Text Mining | Scoop.it

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harish magan's comment, August 30, 2013 10:03 AM
Content is king. Curators are almost agree to this that if the content is good reader will read it till end.
Katherine Hanson's comment, August 30, 2013 10:08 AM
I completely agree, Harish - always has been, always will be
harish magan's comment, August 31, 2013 5:34 AM
Thanks for agreeing with me
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20+ Text Analytics Platforms – Butler Analytics

20+ Text Analytics Platforms – Butler Analytics | Text Mining | Scoop.it
Download PDF Version Text analytics is still largely an immature science, and embraces several different approaches. Natural language processing...
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Hunting for Hidden Treasures: Chemistry Text Mining in Patents and Other Documents

Hunting for Hidden Treasures: Chemistry Text Mining in Patents and Other Documents | Text Mining | Scoop.it

Normally, when talking about patent analytics, if text mining is being discussed it’s being used in conjunction with the practice of organizing, or discovering insights within text-related data. In particular, it’s normally associated with spatial concept mapping, or the identification of relationships between collections of text-based information.

But text mining isn’t just about document clustering, and looking for similarities between concepts, it also refers to entity identification, and extraction. During this process raw text data is scrutinized for specific terms, term fragments, and concepts which, when recognized can be tagged, extracted, and further analyzed. This aspect of text mining, and how it can be applied to chemistry, and chemical patents was the subject of a symposium during the 248th American Chemical Society (ACS) Meeting held recently in San Francisco.

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Data Mining and Knowledge Discovery for Big Data - Free eBook Share

Data Mining and Knowledge Discovery for Big Data - Free eBook Share | Text Mining | Scoop.it
eBook Free Download: Data Mining and Knowledge Discovery for Big Data | PDF, EPUB | ISBN: 3642408362 | 2013-11-15 | English | PutLocker

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Fox eBook's curator insight, October 10, 2013 11:01 PM
Table of Contents

Chapter 1 Aspect and Entity Extraction for Opinion Mining
Chapter 2 Mining Periodicity from Dynamic and Incomplete Spatiotemporal Data
Chapter 3 Spatio-temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
Chapter 4 Mining Discriminative Subgraph Patterns from Structural Data
Chapter 5 Path Knowledge Discovery: Multilevel Text Mining as a Methodology for Phenomics
Chapter 6 InfoSearch: A Social Search Engine
Chapter 7 Social Media in Disaster Relief Usage Patterns, Data Mining Tools, and Current Research Directions
Chapter 8 A Generalized Approach for Social Network Integration and Analysis with Privacy Preservation
Chapter 9 A Clustering Approach to Constrained Binary Matrix Factorization

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Explore - cross-disciplinary creativity & innovation

Explore - cross-disciplinary creativity & innovation | Text Mining | Scoop.it
A discovery engine for meaningful knowledge, fueled by cross-disciplinary curiosity.

Via Ana Cristina Pratas
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Mine your business: Text mining insights from social media

Mine your business: Text mining insights from social media | Text Mining | Scoop.it
Thanks to blogs, online forums, and product review sites, companies and marketers now have access to a seemingly endless array of data on consumers' opinions and experiences.

Via Sakis Koukouvis
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Ontotext Releases Text Mining & Semantic Technology Running in the Cloud ... - Broadway World

Ontotext Releases Text Mining & Semantic Technology Running in the Cloud ... - Broadway World | Text Mining | Scoop.it
Ontotext Releases Text Mining & Semantic Technology Running in the Cloud ...
Broadway World
Ontotext S4, The Self Service Semantic Suite was released today by Ontotext.
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Information Visualization for Knowledge Discovery

Information Visualization for Knowledge Discovery Ben Shneiderman [University of Maryland--College Park] Abstract: Interactive information visualization tool...
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