Applied data mining : statistical methods for business and industry

Applied data mining: statistical methods

📁 Applied data mining: statistical methods for business and industry

✍ Paolo Giudici 📂 Library 📅 2003 🏛 J. Wiley 🌐 English

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and a

Applied Data Mining : Statistical Method

📁 Applied Data Mining : Statistical Methods for Business and Industry (Statistics in Practice)

✍ Paolo Giudici 📂 Library 📅 2003 🌐 English

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and a

Applied Data Mining for Business and Ind

📁 Applied Data Mining for Business and Industry

✍ Paolo Giudici, Silvia Figini 📂 Library 📅 2009 🏛 Wiley 🌐 English

Applied Data Mining for Business and Ind

📁 Applied Data Mining for Business and Industry, Second Edition

✍ Paolo Giudici, Silvia Figini(auth.) 📂 Library 📅 2009 🌐 English

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduct

Applied Data Mining for Business and Ind

📁 Applied Data Mining for Business and Industry, 2nd edition

✍ Paolo Giudici, Silvia Figini 📂 Library 📅 2009 🌐 English

Data Mining for Geoinformatics: Methods

📁 Data Mining for Geoinformatics: Methods and Applications

✍ Mark Salvador, Ron Resmini (auth.), Guido Cervone, Jessica Lin, Nigel Waters (ed 📂 Library 📅 2014 🏛 Springer-Verlag New York 🌐 English

<p>The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems.