Kategoria BISAC: Computers >> Data Science - Data Modeling & Design

Generic programming attempts to make programming more efficient by making it more general. This book is devoted to a novel form of genericity in programs, based on parameterizing programs by the structure of the data they manipulate.

The book presents the following four revised and extended chapters first given as lectures at the Generic Programming Summer School held at the University of Oxford, UK in August 2002:

- Generic Haskell: Practice and Theory

- Generic Haskell: Applications

- Generic Properties of Datatypes

- Basic Category Theory for Models...

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.

With Beautiful Data, you will:

• Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
• Learn how to visualize trends in urban crime, using maps and data mashups
• Discover the challenges...

This unique text seeks to automate the design of a data mining algorithm. It first overviews data mining and evolutionary algorithms then discusses the design of a new genetic programming system for automating the design of full rule induction algorithms.

Technologies for soil remediation require real knowledge and understanding of the processes involved and a correct and complete numerical approach in order to reach the best results at the lowest possible cost. The authors focus on the improvement of the scientific base for the development of integrated indicators of the environmental risks created by the presence of pollutants in water and porous media. They deliver insights into the understanding of integrated process, and also modeling capabilities. The establishment of a set of integrated indicators to evaluate the pollution status and...

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.

This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover...