Overview

This book is concerned with String Vector-based machine learning algorithms which are applied to index optimization. The book is authored by collecting slides about the application of machine learning algorithms to index optimization; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to index optimization and is composed of five sections. Index optimization is defined as the process of classifying words into expansion, inclusion, and removal. This book covers the four machine learning algorithms, String Vector based KNN Algorithm, String Vector based Naïve Bayes, String Vector based Learning Vector Quantization, and String Vector based Perceptron, as approaches to index optimization.

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