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Changing Software Development: Learning to Become Agile
Changing Software Development: Learning to Become Agile

“Successful companies have known the importance of continuous change and learning for a long time; this is the first book that describes these concepts in an organic way in the context of software development. A must read for everybody involved in this business.”

Giovanni Asproni, Director, Asprotunity...

Computational Intelligence and Informatics: Principles and Practice (Studies in Computational Intelligence)
Computational Intelligence and Informatics: Principles and Practice (Studies in Computational Intelligence)

This volume contains a careful selection of papers that are based on and are extensions of corresponding lectures presented at the jubilee conference. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a small particular subject to the interested...

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...

Generative Leadership: Shaping New Futures for Today's Schools
Generative Leadership: Shaping New Futures for Today's Schools

A new concept of leadership for today's educational needs!

Generative leadership is an innovative approach that taps into an organization's collective intelligence. This accessible resource examines the fundamental elements of generative leadership and provides tools to catalyze organizational...

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
...
Content Networking Fundamentals
Content Networking Fundamentals

A comprehensive introduction to the theory and practical applications of content networking 

  • Get a strong introduction to the basic networking concepts necessary for content networking, including network address translation, IP multicast content delivery, quality of service, and...

The Common Language Infrastructure Annotated Standard
The Common Language Infrastructure Annotated Standard

The Common Language Infrastructure Annotated Standard is the definitive guide to understanding the annotated specification for the Common Language Infrastructure (CLI) standard. With annotations and code samples from both the ECMA standards committee and the Microsoft Common Language Runtime (CLR) team, this book goes...

Handbook of Constraint Programming (Foundations of Artificial Intelligence)
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
This encyclopedic work covers twenty-plus years of research in constraint programming in a readable, accessible and appealing way. For someone outside the field wondering what Constraint Programming is all about, this is the perfect introduction, and the book will remain useful as a reference for years.
Michael Trick, Professor of Operations
...
Mobile Robots: The Evolutionary Approach (Studies in Computational Intelligence)
Mobile Robots: The Evolutionary Approach (Studies in Computational Intelligence)
The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to fit in their environments. The application and use of bio-inspired and...
Internet-Based Intelligent Information Processing Systems (Series on Innovative Intelligence)
Internet-Based Intelligent Information Processing Systems (Series on Innovative Intelligence)
The Internet/WWW has made it possible to easily access quantities of information never available before. However, both the amount of information and the variation in quality pose obstacles to the efficient use of the medium. Artificial intelligence techniques can be useful tools in this context. Intelligent systems can be applied to searching the...
Principles of Data Mining (Undergraduate Topics in Computer Science)
Principles of Data Mining (Undergraduate Topics in Computer Science)

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each...

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.

It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or
...
unlimited object storage image
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