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Research and Development in Intelligent Systems XXVII
Research and Development in Intelligent Systems XXVII

The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2010 in both the technical and the application streams. They present new and innovative developments and applications, divided...

Applied Logistic Regression (Wiley Series in Probability and Statistics)
Applied Logistic Regression (Wiley Series in Probability and Statistics)

 A new edition of the definitive guide to logistic regression modeling for health science and other applications

This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship...

Management Intelligent Systems: Second International Symposium (Advances in Intelligent Systems and Computing)
Management Intelligent Systems: Second International Symposium (Advances in Intelligent Systems and Computing)

This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes...

Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)
Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and...

Machine Learning with R
Machine Learning with R

Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Overview

  • Harness the power of R for statistical computing and data science
  • Use R to apply common machine learning algorithms with real-world applications
  • Prepare,...
Linear Regression Analysis: Theory and Computing
Linear Regression Analysis: Theory and Computing

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is...

Survival Analysis Using SAS: A Practical Guide, Second Edition
Survival Analysis Using SAS: A Practical Guide, Second Edition

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many...

Advanced Digital Signal Processing and Noise Reduction
Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete...

Thoughtful Machine Learning: A Test-Driven Approach
Thoughtful Machine Learning: A Test-Driven Approach

Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive...

Clojure Data Analysis Cookbook
Clojure Data Analysis Cookbook

Make more of your data using Clojure and this brilliant cookbook full of real-world recipes. From creating revealing graphs to using data analysis libraries, you'll learn both the basics and advanced techniques.

Overview

  • Get a handle on the torrent of data the modern Internet has created
  • ...
Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence)
Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence)

The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters,...

Mastering Clojure Data Analysis
Mastering Clojure Data Analysis

Leverage the power and fl exibility of Clojure through this practical guide to data analysis

About This Book

  • Explore the concept of data analysis using established scientific methods combined with the powerful Clojure language
  • Master Naive Bayesian Classification, Benford's Law, and...
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