SKU/Artículo: AMZ-B0DR2KWGXB

Index Optimization: Table based Approaches

Format:

Kindle

Kindle

Paperback

Detalles del producto
Disponibilidad:
Fuera de stock
Peso con empaque:
0.15 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
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USA

Sobre este producto
  • This book is concerned with table-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, Table based KNN Algorithm, Table based Naïve Bayes, Table based Learning Vector Quantization, and Table based Perceptron, as approaches to index optimization.

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