Researchers in Artificial Intelligence have traditionally been classified into two
categories: the “neaties” and the “scruffies”. According to the scruffies, the neaties
concentrate on building elegant formal frameworks, whose properties are beautifully
expressed by means of definitions, lemmas, and theorems, but...
Just so you’re clear: it was not my idea to give a talk to Microsoft Research. I had learned embarrassingly little about computer science in my 18 years of life, and the last thing I wanted to do is to have that exposed in front of a bunch of genius PhDs in MSR. But my manager thought it’d be a great...
The Definitive Guide to Governing Shared Services and SOA Projects
SOA Governance: Governing Shared Services On-Premise and in the Cloud is the result of a multi-year project to collect proven industry practices for establishing IT governance controls specific to the adoption of SOA...
Web-based Support Systems (WSS) are an emerging multidisciplinary research area
in which one studies the support of human activities with the Web as the common
platform, medium and interface. The Internet affects every aspect of our modern life.
Moving support systems to online is an increasing trend in many research domains.
One of...
Numerous textbooks address software testing in a structured development environment.
By “structured” is meant a well-defined development cycle in which discretely
defined steps provide measurable outputs at each step. It is assumed that
software testing activities are based on clearly defined requirements and software...
Probability theory and fuzzy logic are the principal components of an array of methodologies
for dealing with problems in which uncertainty and imprecision play important roles.
In relation to probability theory, fuzzy logic is a new kid on the block. As such, it has been
and continues to be, though to a lesser degree, an object of...
The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain...
When I decided to do a sabbatical with Symantec Research Labs Europe in the
beautiful French Riviera, I was asked to work on a project about Voice over IP
(VoIP) security. The goal of the VAMPIRE Project1 was to understand the threats
and vulnerabilities of VoIP systems, and to inform the direction of further research
efforts....
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
SolidWorks as a topic of learning is a huge, sprawling expanse. There is a lot to know, and a lot to write about. While I have made every effort to be complete in this book, I'm sure there are some niche topics that have gone untreated. New in 2011, I have taken this book from a single volume of an immense scope to two individual volumes,...
The goal of this book is to provide an overview of the current state of knowledge of educational
data mining (EDM). The primary goal of EDM is to use large-scale educational data
sets to better understand learning and to provide information about the learning process.
Although researchers have been studying human learning for over a...
More and more people are using the query language SPARQL (pronounced “sparkle”) to pull data from a growing collection of public and private data. Whether this data is part of a semantic web project or an integration of two inventory databases on different platforms behind the same firewall, SPARQL is making it easier to access...
