Predictive analytics and data mining concepts and practice with RapidMiner

This book shows how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Topics include: exploratory data analysis; visualization; decision trees; rule induction; k-nearest neighbors; naive Bayesian; artificial neural networks; support vector machine...

Full description

Bibliographic Details
Main Authors: Kotu, Vijay, Deshpande, Balachandre (Author)
Format: eBook
Language:English
Published: Waltham, MA Morgan Kaufmann 2015
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This book shows how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Topics include: exploratory data analysis; visualization; decision trees; rule induction; k-nearest neighbors; naive Bayesian; artificial neural networks; support vector machines; ensemble models; bagging; boosting; random forests; linear regression; logistic regression; association analysis using Apriori and FP growth; k-means clustering; density based clustering; self organizing maps; text mining; time series forecasting; anomaly detection and feature selection. --
Physical Description:1 online resource
1 volume illustrations
ISBN:0128014601
0128016507
9780128016503