Tools

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001 ocn794383463;

003 OCoLC;

005 20141212030013.0;

006 m d ;

007 cr bn|||||||||;

008 120529s2012 ncua ob 000 0 eng d;

035 a| (Sirsi) o794383463;

035 a| (OCoLC)794383463;

040 a| EREc| EREd| EREd| UtOrBLW;

049 a| EREE;

090 a| BF39.3;

100 1 a| Jeck, Steven.?| UNAUTHORIZED;

245 12 a| A protocol and tool for developing a descriptive behavioral model /c| by Steven Jeck.;

260 a| [Greenville, N.C.] :b| East Carolina University,c| 2012.;

300 a| 64 pages :b| illustrations (some color), digital, PDF file;

336 a| text2| rdacontent;

337 a| computer2| rdamedia;

338 a| online resource2| rdacarrier;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2012.;

500 a| Presented to the faculty of the Department of Computer Science.;

500 a| Advisor: John Placer.;

500 a| Title from PDF t.p. (viewed Aug. 8, 2012).;

520 3 a| Fuzzy rules have been used to model complex human behavior in order to develop sophisticated industrial control systems. The use of fuzzy rules to create a behavioral model provides a quantitative basis for discussing the contribution of elements of the model to theories about the behavior. The application of a protocol and tool simplifies the development of a behavioral model from observational data. Extraction of a high level, linguistic behavioral model from the observational data is used to discover knowledge about the data. Tuning of the model is accomplished by parameter optimization through the adjustment of membership functions using the genetic fuzzy, self-adaptive system. A case study demonstrating the use of the protocol and tool is presented. In the study, a behavioral model is developed that integrates the analysis of the observational data with Social Network Analysis. The integrated behavioral model provides an effective platform for a quantitative analysis of the activities impacting behavior.;

504 a| Includes bibliographical references.;

650 0 a| Human behavior models.=| ^A1057591;

650 0 a| Data mining.=| ^A408868;

653 a| Artificial intelligence;

653 a| Computer science;

653 a| Computer engineering;

700 1 a| Placer, John.=| ^A1119910;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/3898;

949 o| jgml;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 3063788;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3063788-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 5/29/2012x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3063788-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 5/29/2012x| ETDz| HERESOURCE;

A protocol and tool for developing a descriptive behavioral model / by Steven Jeck.

Author/creator	Jeck, Steven
Other author	Placer, John.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication Info	[Greenville, N.C.] : East Carolina University, 2012.
Description	64 pages : illustrations (some color), digital, PDF file
Supplemental Content	Access via ScholarShip
Subjects	Human behavior models. Data mining.

Summary	Fuzzy rules have been used to model complex human behavior in order to develop sophisticated industrial control systems. The use of fuzzy rules to create a behavioral model provides a quantitative basis for discussing the contribution of elements of the model to theories about the behavior. The application of a protocol and tool simplifies the development of a behavioral model from observational data. Extraction of a high level, linguistic behavioral model from the observational data is used to discover knowledge about the data. Tuning of the model is accomplished by parameter optimization through the adjustment of membership functions using the genetic fuzzy, self-adaptive system. A case study demonstrating the use of the protocol and tool is presented. In the study, a behavioral model is developed that integrates the analysis of the observational data with Social Network Analysis. The integrated behavioral model provides an effective platform for a quantitative analysis of the activities impacting behavior.
General note	Presented to the faculty of the Department of Computer Science.
General note	Advisor: John Placer.
General note	Title from PDF t.p. (viewed Aug. 8, 2012).
Dissertation note	M.S. East Carolina University 2012.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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A protocol and tool for developing a descriptive behavioral model / by Steven Jeck.

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