Learn IT - Springer

Challenges in Computational Statistics and Data Mining (Studies in Computational Intelligence)

Springer, 2015

This volume contains nineteen research papers belonging to the

areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The

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Digraphs: Theory, Algorithms and Applications (Springer Monographs in Mathematics)

Springer, 2010

Substantially revised, reorganised and updated, the second edition now comprises eighteen chapters, carefully arranged in a straightforward and logical manner, with many new results and open problems.

As well as covering the theoretical aspects of the subject, with detailed proofs of many important results, the authors present...

Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving

Springer, 2005

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating...

Bioinformatics: Databases and Systems

Springer, 1999

Bioinformatics brings computational methods to the analysis and processing of genomic data. Bioinformatics: Databases and Systems focuses on the issues of system building and data curation that dominate the day-to-day concerns of bioinformatics practitioners. Included are chapters by many of today's leading bioinformatics...

Python Programming Fundamentals (Undergraduate Topics in Computer Science)

Springer, 2015

This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally.

Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the...

Pattern Recognition and Classification: An Introduction

Springer, 2012

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner.

Pattern Recognition and Classification presents a comprehensive...

Computer Science: The Hardware, Software and Heart of It

Springer, 2011

Computer Science: The Hardware, Software and Heart of It focuses on the deeper aspects of the two recognized subdivisions of Computer Science, Software and Hardware. These subdivisions are shown to be closely interrelated as a result of the stored-program concept. Computer Science: The Hardware, Software and Heart of It includes certain...

Modeling of Curves and Surfaces with MATLAB®

Springer, 2010

This text on geometry modeling is devoted to a number of central geometrical topics— graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces— and presents some elementary methods for analytical modeling and visualization of them.

In 1872 F. Klein proposed his Erlangen Programme in...

Prosody in Speech Understanding Systems (Lecture Notes in Computer Science)

Springer, 1997

Speech technology, the automatic processing of (spontaneously) spoken language, is now known to be technically feasible. It will become the major tool for handling the confusion of languages with applications including dictation systems, information retrieval by spoken dialog, and speech-to-speech translation. The book gives a throrough account of...

The Human Foot: A Companion to Clinical Studies

Springer, 2005

The appendages at the end of our forelimbs tend to attract the evolutionary and clinical limelight, but our feet are as important as our hands for our survival and success as a species. We tend to take them for granted, yet the many millions of modern humans who run either competitively or for recreation, or who play sports such...

Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer, 2017

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection...

The Data Science Design Manual (Texts in Computer Science)

Springer, 2017

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.

The...

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