Name: Information Theoretic Measures: Applications in Data Mining and Lifetime Distributions (en Inglés)
SKU: 62435200
Price: 99.08 USD
Availability: InStock
Author: Ashok Kumar

portada Information Theoretic Measures: Applications in Data Mining and Lifetime Distributions (en Inglés)

Information Theoretic Measures: Applications in Data Mining and Lifetime Distributions (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Ashok Kumar

Idioma

Inglés

N° páginas

180

Encuadernación

Tapa Blanda

ISBN13

9786207806263

Information Theoretic Measures: Applications in Data Mining and Lifetime Distributions (en Inglés)

Ashok Kumar (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Information Theoretic Measures: Applications in Data Mining and Lifetime Distributions (en Inglés)"

Communication system is vital for message transmission, affected by noise. Researchers contribute to improving communication. Information theory development is significant, enhanced by C. E. Shannon's work. Shannon model encodes and decodes messages. Researchers generalize information measures for various applications. This book focuses on information theoretic measures, their analysis and applications. Information measures are applied in data mining, including weighted residual information measure. Classification methods and results are compared for improvement. Information theoretic measures in ID3 algorithm find information gain as splitting criteria for data. ID3 algorithm applied to census 2011 data of India to classify attributes into States and Union Territories. Decision tree made using Renyi entropy, rules developed to decide project implementation region. Varma entropy based ID3 algorithm used to analyze health services in India up to 2015. C4.5 algorithm applied on same data with discrete attribute values to develop decision tree. Weighted generalized residual information measure of order α and type β developed as extension of information theoretic measures.