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Domain-Specific Model-Driven Testing
Domain-Specific Model-Driven Testing

Software reuse and software quality are increasingly important topics in today's software engineering both for researchers and for practitioners. The design and implementation of tests is especially challenging when tests are conceptualized for different variants and versions of an application. Stefan Baerisch applies a combination of...

Programming Entity Framework: Building Data Centric Apps with the ADO.NET Entity Framework
Programming Entity Framework: Building Data Centric Apps with the ADO.NET Entity Framework

Get a thorough introduction to ADO.NET Entity Framework 4 -- Microsoft's core framework for modeling and interacting with data in .NET applications. The second edition of this acclaimed guide provides a hands-on tour of the framework latest version in Visual Studio 2010 and .NET Framework 4. Not only will you learn how to use EF4...

High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications
Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications

Surfaces are a central to geographical analysis. Their generation and manipulation are a key component of geographical information systems (GISs). However, geographical surface data is often not precise. When surfaces are used to model geographical entities, the data inherently contains uncertainty in terms of both position and attribute....

Fundamental Approaches to Software Engineering: 14th International Conference, FASE 2011
Fundamental Approaches to Software Engineering: 14th International Conference, FASE 2011

FASE (Fundamental Approaches to Software Engineering) is concerned with the foundations on which software engineering is built. Its focus is on novel techniques and the way in which they contribute to making software engineering a more mature and soundly based discipline. This year, we particularly encouraged contributions that combine the...

The Design and Analysis of Efficient Learning Algorithms (ACM Doctoral Dissertation Award)
The Design and Analysis of Efficient Learning Algorithms (ACM Doctoral Dissertation Award)

Approaches to building machines that can learn from experience abound - from connectionist learning algorithms and genetic algorithms to statistical mechanics and a learning system based on Piaget's theories of early childhood development. This monograph describes results derived from the mathematically oriented framework of computational...

Relational Theory for Computer Professionals (Theory in Practice)
Relational Theory for Computer Professionals (Theory in Practice)

All of today’s mainstream database products support the Sql language, and relational theory is what Sql is supposed to be based on. But are those products truly relational? Sadly, the answer is no. This book shows you what a real relational product would be like, and how and why it would be so much better than what’s...

4G: Deployment Strategies and Operational Implications
4G: Deployment Strategies and Operational Implications

Specific operational requirements drive early network architectural and design decisions for 4G networks. 4G: Deployment Strategies and Operational Implications evaluates the specific design and deployment options and strategies for LTE network business development. LTE is a...

Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

A Practical Guide to the Eustachian Tube
A Practical Guide to the Eustachian Tube

This book, written by international experts, is a detailed guide to the Eustachian tube, with emphasis on those aspects of most relevance to the practitioner. The opening chapters document the clinical anatomy and provide essential information on physiology, with explanation of the new model of tubal mechanics. Diagnosis and therapy for the...

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics (Studies in Computational Intelligence)
Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics (Studies in Computational Intelligence)
This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. 

The
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The Java Web Services Tutorial
The Java Web Services Tutorial

The Java(TM) Web Services Tutorial is a comprehensive, example-driven, "roll up your sleeves and dive in" guide to building Web services applications with Java(TM) technology. This edition provides a head start on using the Java Web Services Developer Pack (WSDP) from Sun...

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