Product Description
Title : Mining Databook For College
Writer : Ephori Buulo
Pages : Viii, 82 pgs, Uk: 15.5x23 cm
Isbn : 9978-623-02-0508-8
Molds : January 2020
Synopsis :
The book will diskuss theory and algorithm or mining data methods that are commonly studied by students in college. As for the topics of diskussion in this book,
Chapter I: Theory Knowlegde Discovery in Database (KKD)
Chatter II: Mining Data
Chapter III: Apriori Algorithm
Chapter IV: Association Rule
Chapter V: Rough Set Algorithm
Chapter VI: C4.5 Algorithm
Chapter VII: Neighbor Nearest Algorithm
Chapter VIII: Algorithm NaIIve Bayesian Classifier
Chapter IX: K-Means Algorithm
Chapter X: K-Nearest Neighbor Algorithm
Chapter XI: K-Medoids Algorithm.
Each algorithm or method diskussed will be outlined from theory, formula, how algorithm or method workout, case study, completion of case studies, as well as practice.
Product Specifications
| Language | Bahasa Indonesia |
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