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Treatment Learning: Treatment Learner, Data Mining, Verification and Validation, Data Dredging, Data-Snooping Bias, BayesTheorem, Regression Analysis, Design of Experiments -

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2026-03-22
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Treatment learning is a process by which an ordered classified data set can be evaluated as part of a data mining session to produce a representative data model. The data model should describe some key property of the data set. The output of a treatment learning session is a treatm ... Täielik kirjeldus

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Treatment learning is a process by which an ordered classified data set can be evaluated as part of a data mining session to produce a representative data model. The data model should describe some key property of the data set. The output of a treatment learning session is a treatment, a conjunction of attribute-value pairs. The size of the treatment is the number of pairs that compose the treatment.

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Kirjastaja OmniScriptum
Väljalaskeaasta 2026
Kaanetüüp Pehme kaanega
EAN 9786130336097
Kirjuta oma arvustus
Te vaatate: Treatment Learning: Treatment Learner, Data Mining, Verification and Validation, Data Dredging, Data-Snooping Bias, BayesTheorem, Regression Analysis, Design of Experiments
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117,44 € 195,73 €