Електронна книга > Наука > Математика > Nitesh Chawla & Simeon Simoff: Computational Intelligent Data Analysis for Sustainable Development (PDF)

Nitesh Chawla & Simeon Simoff
Computational Intelligent Data Analysis for Sustainable Development

поддержка

Обложка Nitesh Chawla & Simeon Simoff: Computational Intelligent Data Analysis for Sustainable Development (PDF)

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

€64.42

язык английский ● Формат PDF ● страницы 440 ● ISBN 9781439895955 ● редактор Nitesh Chawla & Simeon Simoff ● издатель CRC Press ● опубликованный 2016 ● Загружаемые 3 раз ● валюта EUR ● Код товара 7167349 ● Защита от копирования Adobe DRM

Требуется устройство для чтения электронных книг с поддержкой DRM

Больше книг от того же автора (ов) / редактор

Nitesh Chawla Simeon Simoff Ting Yu Australia) Yu Ting (University of Sydney

47 391 Электронные книги в этой категории

Обложка David Moore & Notz William: Statistics: Concepts and Controversies

David Moore & Notz William: Statistics: Concepts and Controversies

Обложка Bor-Luh Lin & Stephen Simone: Nonlinear and Convex Analysis

Bor-Luh Lin & Stephen Simone: Nonlinear and Convex Analysis

This book contains expanded versions of the talks given at the conference held in honour of professor Ky Fan in California in 1985, as well as papers on nonlinear and convex analysis as contributions …

Обложка Brigitte Baldi & Moore David: Practice of Statistics in the Life Sciences, Digital Update

Brigitte Baldi & Moore David: Practice of Statistics in the Life Sciences, Digital Update

Обложка Philip J. Davis: Mathematics & Common Sense

Philip J. Davis: Mathematics & Common Sense

From the Preface: This book is addressed to all who are curious about the nature of mathematics and its role in society. It is neither a text book nor a specialists’ book. It consists of a number of …

Обложка Xiaojun Duan & Defeng Gu: Measurement Data Modeling and Parameter Estimation

Xiaojun Duan & Defeng Gu: Measurement Data Modeling and Parameter Estimation

This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks to build a bridge between mathematical theory …

Обложка D. Yogi Goswami & Frank Kreith: Energy Efficiency and Renewable Energy Handbook

D. Yogi Goswami & Frank Kreith: Energy Efficiency and Renewable Energy Handbook

For the Movers, Shakers, and Policy Makers in Energy Engineering and Related Industries The latest version of a bestselling reference, Energy Efficiency and Renewable Energy Handbook, Second Edition …

Обложка Ann Cannon & Starnes Daren: Introductory Statistics: A Student-Centered Approach

Ann Cannon & Starnes Daren: Introductory Statistics: A Student-Centered Approach

Обложка Franjieh El Khoury: Iris Biometric Model for Secured Network Access

Franjieh El Khoury: Iris Biometric Model for Secured Network Access

In the last few years, biometric techniques have proven their ability to provide secure access to shared resources in various domains. Furthermore, software agents and multi-agent systems (MAS) have …

Обложка David (Univeristy of New South Wales, Australia) Angell & Thomas (University of New SouthWales, Australia) Britz: Parabolic Problems

David (Univeristy of New South Wales, Australia) Angell & Thomas (University of New SouthWales, Australia) Britz: Parabolic Problems

Parabola is a mathematics magazine published by UNSW, Sydney. Among other things, each issue of Parabola has contained a collection of puzzles/problems, on various mathematical topics and at a …

Обложка Luc (University of Chicago) Anselin: Introduction to Spatial Data Science with GeoDa

Luc (University of Chicago) Anselin: Introduction to Spatial Data Science with GeoDa

This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organization of observations into meaningful groups, …

Следущая страница >>>