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Chapter 2 Data Mining

Chapter 2 Data Mining

Chapter 2 Data Mining. Faculty of Computer Science and Engineering HCM City University of Technology October- 2010. Outline. Overview of data mining Association rules Classification Regression Clustering Other Data Mining problems Applications of data mining. DATA MINING.

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2.26k views • 154 slides
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??? ????????????. ????. ?? ?????? (Association Rule Mining) ????????? (Multilevel Association Rule Mining) ????????? (Quantitative Association Rule Mining) ???? (Correlation Analysis) ??. ?? (1). ????????????????????????????????????????????????

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1.24k views • 98 slides
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??? ????????????. ????. ?? ?????? (Association Rule Mining) ????????? (Multilevel Association Rule Mining) ????????? (Quantitative Association Rule Mining) ???? (Correlation Analysis) ??. ?? (1). ????????????????????????????????????????????????

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1.19k views • 98 slides
Data Mining Technique

Data Mining Technique

Data Mining Technique. Data Mining Techniques. In data mining techniques we focus on understanding ways, methods used in analysing (sub) set of data. In this case you have to understand four classes of task involved in data mining

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594 views • 31 slides
FP (Frequent pattern)-growth algorithm

FP (Frequent pattern)-growth algorithm

Elektrotehni ?ki fakultet Univerziteta u Beogradu. FP (Frequent pattern)-growth algorithm. ERTAN LJAJI?, 3392/2013. FP-growth algorithm. The FP-Growth algorithm is one of the a ssociation rule learning algorithms

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749 views • 15 slides

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