Automatic feedback control systems play crucial roles in many fields, including manufacturing industries, communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control...
Rough path analysis provides a fresh perspective on Ito's important theory of stochastic differential equations. Key theorems of modern stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be obtained with dramatic simplifications. Classical...
What is e-collaboration? Although this term means many things to many people, Ned Kock broadly defines it as “collaboration among individuals engaged in a common task using electronic technologies.” E-collaboration is not limited to computer-mediated communication (also known as CMC), or computer-supported cooperative work (known...
Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent...
Essential C++ for Engineers and Scientists zeros in on the key elements of good programming and C++, using a multitude of interesting and appropriate engineering and scientific examples. This book covers the features of C++ needed for writing engineering programs, including many features of object-oriented programming. Early on, the book...
Since its introduction for market basket analysis in the early 1990s, association rule mining has had a lot of research attention, and it is now widely used in many fields, for example in retail, telecom, insurance, and bioinformatics applications.
One familiar problem encountered in association mining exercises is that they...
Learning Classifier Systems (LCS) constitute a fascinating concept at the intersection of machine learning and evolutionary computation. LCS’s genetic search, generally in combination with reinforcement learning techniques, can be applied to both temporal and spatial problem-solving and promotes powerful search in a wide variety of...
Teach yourself to use SQL Server 2008 Analysis Services for business intelligence?one step at a time. You'll start by building your understanding of the business intelligence platform enabled by SQL Server and the Microsoft Office System, highlighting the role of Analysis Services. Then, you’ll create a simple...
Within the last few years, data warehousing and knowledge discovery technology has established itself as a key technology for enterprises that wish to improve the quality of the results obtained from data analysis, decision support, and the automatic extraction of knowledge from data.
Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010 explains how to take full advantage of Microsoft's collaborative business intelligence (BI) tools. A variety of powerful, flexible technologies are covered, including SQL...
MDX-related books often dedicate a significant part of their content to explaining the concepts of multidimensional cubes, the MDX language and its functions, and other specifics related to working with Analysis Services. And that's perfectly fine, there should be books like that, the tutorials that teach the concepts. However, that also...
Clustering is an important unsupervised classification technique where a set of patterns,
usually vectors in multidimensional space, are grouped into clusters based
on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned
to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...
