Introduction to Data Mining Ebook

Introduction to Data Mining and Knowledge Discovery, Third Edition" (©1999) is a readable 36-page booklet aimed at business users who want a clear, non-technical overview of the techniques and capabilities of data mining. It’s a valuable educational tool for prospective users. Available as a PDF file, the contents have been bookmarked for your convenience. Introduction Data mining: In brief Data mining: What it can’t do Data mining and data warehousing Data mining and OLAP Data mining, machine learning and statistics Data mining and hardware/software trends Data mining applications Successful data mining Data Description for Data Mining Summaries and visualization Clustering Link analysis Predictive Data Mining A hierarchy of choices Some terminology Classification Regression Time series Data Mining Models and Algorithms Neural networks Decision trees Multivariate Adaptive Regression Splines (MARS) Rule induction K-nearest neighbor and memory-based reasoning (MBR) Logistic regression Discriminant analysis Generalized Additive Models (GAM) Boosting Genetic algorithms The Data Mining Process Process Models The Two Crows Process Model Selecting Data Mining Products Categories Basic capabilities Summary

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