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APPLYING MACHINE LEARNING ALGORITHMS IN SOFTWARE DEVELOPMENT Du Zhang Department of Computer Science California State University Sacramento, CA
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Document Date: 2000-09-06 12:17:42

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File Size: 100,77 KB

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Scenario / /

Company

NBC / BOC / McGraw-Hill / IEEE Software / Bayesian Belief Networks / Bayesian Networks / /

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Facility

Computer Science California State University / R.J. Hall / /

IndustryTerm

software development paradigm / software engineering / Explanation-based learning algorithms / software engineering tasks / Machine learning algorithms / reactive systems / Software engineers / software repository / based software effort estimation / software development using metric-based classification trees / utilized machine learning algorithms / software reuse / tasks using machine learning algorithms / software development tasks / production-quality software / software requirements / artificial neural networks / project management / generate/test generalTospecific search / important tool / software product / algorithmic solutions / software development / software systems / software understanding / software defects / software engineering data analysis / implemented software system / software life-cycle processes / software system structures / software implementation / software prototypes / legacy systems / software engineering turns / candidate-elimination algorithm / genetic algorithms / software development effort / understood domains data mining application types learning types / software engineering problems / legacy software system / explicit search / machine learning applications / data mining problems / software engineering techniques / empirical software / identified software development / software engineering discipline / estimation systems / software effort estimation / learning algorithm / learning algorithms / software project / /

Movie

D. 4 / /

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APPLYING MACHINE LEARNING ALGORITHMS IN SOFTWARE DEVELOPMENT Du Zhang Department of Computer Science California State University Sacramento / GA GP / /

Person

Morgan Kaufmann / Statistical / L. Briand / V / /

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Position

elicitation and validation assistant / Assistant / knowledge-based software assistant / General / /

ProgrammingLanguage

Prolog / C / ML / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / IEEE Software / /

RadioStation

5 CBR / CBR / /

Technology

ML algorithms / candidate-elimination algorithm / Machine learning algorithms / APPLYING MACHINE LEARNING ALGORITHMS / frequently utilized machine learning algorithms / Machine learning / tasks using machine learning algorithms / learning algorithm / Explanation-based learning algorithms / Fitness-driven Prototypical GA/GP algorithms / learning algorithms / data mining / decision support system / /

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