About this document
Data Mining Knowledge Representation Guide by SAI SRIRAM is a document available to read on EtoBox.
This document outlines the unit on Data Mining Knowledge Representation, focusing on understanding task-relevant data, background knowledge, and methods for representing input and output data. It covers the KDD process, including data selection, preprocessing, mining, evaluation, representation, and deployment, as well as various techniques for knowledge representation such as decision trees and clustering. Additionally, it emphasizes the importance of Exploratory Data Analysis (EDA) in identifying patterns
- Author
- SAI SRIRAM
- Language
- EN