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Credit Scoring, Data Mining, Predictive Analytics, Statistics, StatSoft Electronic Text... - 0 views

shared by Thieme Hennis on 27 Jan 11 - Cached

Thieme Hennis on 27 Jan 11

This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.

<div class="cArrow"> </div><div class="cContentInner">This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included. </div>

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Naymz Support :: What is RepScore? - 0 views

support.naymz.com/...35138 reputation profiling social-networking professional tools search community metadata

shared by Thieme Hennis on 05 Oct 09 - Cached

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RDF Primer - 0 views

www.w3.org/rdf-primer rdf xml metadata semantic-web semantic

shared by Thieme Hennis on 10 Aug 09 - Cached

The Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. It is particularly intended for representing metadata about Web resources, such as the title, author, and modification date of a Web page, copyright and licensing information about a Web document, or the availability schedule for some shared resource.
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RDF is intended for situations in which this information needs to be processed by applications, rather than being only displayed to people. RDF provides a common framework for expressing this information so it can be exchanged between applications without loss of meaning. Since it is a common framework, application designers can leverage the availability of common RDF parsers and processing tools. The ability to exchange information between different applications means that the information may be made available to applications other than those for which it was originally created.
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Thieme Hennis on 10 Aug 09

RDF primer: introduction to the semantic web and the RDF standard for web resources.

<div class="cArrow"> </div><div class="cContentInner">RDF primer: introduction to the semantic web and the RDF standard for web resources.</div>

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Open Thoughts on Software, Business, Life: 7 Key Attributes of Social Web Applications - 0 views

connollyshaun.blogspot.com/...-attributes-of-social-web.html web-service web2.0 webdesign social-networking apps

shared by Thieme Hennis on 10 Aug 09 - Cached

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The Web of Identities: Making Machine-Accessible People Data - 0 views

www.readwriteweb.com/...ine-accessible_people_data.php web identity data standards social-networking

shared by Thieme Hennis on 10 Aug 09 - Cached

In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.
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In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.
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Thieme Hennis on 10 Aug 09

In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.

<div class="cArrow"> </div><div class="cContentInner">In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.</div>

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