The McGraw-Hill 36-Hour Course: Online Marketing is a book that will teach you about online marketing tools and how to apply them to support marketing credibility, visibility, and sellability. This book is written for students, entrepreneurs, marketers, and professionals—in short, anyone who wants to understand the art and...

During the 1980's the flat relational model (relational model), which was initiated by Codd in 1970, gained immense popularity and acceptance in the market place. One of the main reasons for this success is that the relational model provides physical data independences i.e. changing the physical organization of the database does not...

This book is not intended to be a traditional software engineering text — there are many good ones. Instead, it is designed specifically for those involved in image processing systems. It provides a modern engineering framework for the specification, design, coding, testing, and maintenance of image processing software and...

This is a book for business analysts about modeling. A model is a simplified representation of a situation or problem, and modeling is the process of building, refining, and analyzing that representation for greater insight and improved decision making. Some models are so common that they are thought of as routine instruments rather...

This volume was primarily intended to present selected papers from the workshop on Theory and Applications of Nested Relations and Complex Objects, held in Darmstadt, FRG, from April 6-8, 1987. Other papers were solicited in order to provide a picture of the field as general as possible. Research on nested relations and complex objects...

This monograph presents a comparison of methods for organizing very large amounts of stored data called a very large database to facilitate fast retrieval of desired information on direct access storage devices. In a very large data base involving retrieval and updating, the major factor of immediate concern is the average number of accesses...

3D scene understanding and object recognition are among the grandest challenges in computer vision. A wide variety of techniques and goals, such as structure from motion, optical flow, stereo, edge detection, and segmentation, could be viewed as subtasks within scene understanding and recognition. Many of these applicable methods are...

Tpreface his book is designed for a two-semester sequence in computer science, beginning with what is typically known as Data Structures and continuing with advanced data structures and algorithm analysis. It is appropriate for the courses from both the two-course and three-course sequences in “B.1 Introductory Tracks,” as...

We have long felt that the traditional approach to teaching about Operating Systems (OSs) was not the best approach. The purpose of this book is to support a different approach to this task. When studying any complex domain of knowledge, the order in which one learns the hierarchy of principles, laws, ideas, and concepts can make the...

In From Computer to Brain: Foundations of Computational Neuroscience, William Lytton provides a gentle but rigorous introduction to the art of modeling neurons and neural systems. It is an accessible entry to the methods and approaches used to model the brain at many dierent levels, ranging from synapses and dendrites to neurons and...

I became interested in ML programming when I taught CS109, the introduc- tory Computer Science Foundations course at Stanford, starting in 1991. ML was used by several of the instructors of this course, including Stu Reges and Mike Cleron, to introduce concepts such as functional programming and type systems. It was also used for the...

MATLAB® is a very popular language for technical computing used by students, engineers, and scientists in universities, research institutes, and industries all over the world. The software is popular because it is powerful and easy to use. For university freshmen in it can be thought of as the next tool to use after the graphic...