A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.
In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data...
Effectively query and modify data using Transact-SQL
Master T-SQL fundamentals and write robust code for Microsoft SQL Server and Azure SQL Database. Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces...
This atlas comprises a complete and extensive exposure of the spatial and temporal aspects of human cardiac development as seen with scanning electron microscopy. Apart from serving as a unique overview on cardiac development in the human embryo, this atlas gives an updated morphological reference of cardiac embryology for topographic...
Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.
In this book, a systematic treatment of this practical design...
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to...
Communication protocols form the operational basis of computer networks and telecommunication systems. They are behavior conventions that describe how communication systems interact with each other, defining the temporal order of the interactions and the formats of the data units exchanged – essentially they determine the...
Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and...
Traditional data mining methods are designed to deal with “static” databases, i.e. databases where the ordering of records (or other database objects) has nothing to do with the patterns of interest. Though the assumption of order irrelevance may be sufficiently accurate in some applications, there are certainly many other cases, where...
Learning classi er systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal di erence learning.
From the beginning, classi er systems have attracted...
This monograph presents a framework for modelling, specifying and verifying
systems composed of real-time discrete event processes. A discrete event system
consists of the plant (the object to be controlled) and a controller. For example,
the plant might consist of machines, robots and conveyors on the factory floor.
The objective of...
Sequences are an important type of data which occur frequently in many scientific,
medical, security, business and other applications. For example, DNA
sequences encode the genetic makeup of humans and all species, and protein
sequences describe the amino acid composition of proteins and encode
the structure and function of...
The term “video compression” is now a common household name. The field of still
image and video compression has matured to the point that it is possible to watch
movies on a laptop computer. Such is the rapidity at which technology in various
fields has advanced and is advancing. However, this creates a need for some to...
