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Data Mining Concepts and Techniques by exe37 eatler is a document available to read on EtoBox.

What is Data Mining Concepts and Techniques about?

This document contains notes on data mining concepts including: 1) Structured, semi-structured, and unstructured data types. Statistics, hypothesis testing, and null/alternative hypotheses are discussed. 2) Key steps in the data mining process are covered including data cleaning, transformation, discretization, and integration techniques. 3) Classification algorithms such as decision trees, ID3, C4.5 and CART are summarized. Concepts like entropy are introduced. 4) Assignments are outlined applying bi

Author
exe37 eatler
Language
EN