Information Theory Books - Page 4

An Introduction to Cryptography (Discrete Mathematical & Applications)

Richard A. Mollin

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Total reviews: 5 Average rating: 4.0 of 5

Editorial Review:

INTRODUCTION FOR THE UNINITIATEDHeretofore, there has been no suitable introductory book that provides a solid mathematical treatment of cryptography for students with little or no background in number theory. By presenting the necessary mathematics as needed, An Introduction to Cryptography superbly fills that void. Although it is intended for the undergraduate student needing an introduction to the subject of cryptography, it contains enough optional, advanced material to challenge even the most informed reader, and provides the basis for a second course on the subject. Beginning with an overview of the history of cryptography, the material covers the basics of computer arithmetic and explores complexity issues. The author then presents three comprehensive chapters on symmetric-key cryptosystems, public-key cryptosystems, and primality testing. There is an optional chapter on four factoring methods: Pollard's p-1 method, the continued fraction algorithm, the quadratic sieve, and the number field sieve. Another optional chapter contains detailed development of elliptic curve cryptosystems, zero-knowledge, and quantum cryptography. He illustrates all methods with worked examples and includes a full, but uncluttered description of the numerous cryptographic applications.SUSTAINS INTEREST WITH ENGAGING MATERIALThroughout the book, the author gives a human face to cryptography by including more than 50 biographies of the individuals who helped develop cryptographic concepts. He includes a number of illustrative and motivating examples, as well as optional topics that go beyond the basics presented in the core data. With an extensive index and a list of symbols for easy reference, An Introduction to Cryptography is the essential fundamental text on cryptography.

HCI Models, Theories, and Frameworks: Toward a Multidisciplinary Science (Interactive Technologies)

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Total reviews: 4 Average rating: 4.0 of 5

Constantly amazed at this book 5 out of 5 stars.
10 of 10 people found this review helpful.

Working through this book, I am constantly amazed at the number of topics covered and the depth and clarity of the authors (and in some cases, the entertaining story they tell). There is much important theory that exists in HCI and I have not found a book that does such a wonderful job bringing it, and the proper author to explain it, all together. Previously, it was a chore to track down the important theoretical works, not so now.

This book is NOT going to help you build better webpages or for that matter, teach you to build a better GUI. Do not expect it to as HCI is only marginally about this. HCI is more importantly about the work and activity people perform on a computer and through a computer with others. If you do not have this concept in mind, do not read this book as you will waste your time (and possibly write a bad review for it). If you are intrigued, read "The Design of Everyday Things" to give you the basic philosophy of HCI and this book to give you the theory of it.

Unfortunately, some chapters are not as strong as others and the binding of them all together is not as strong as it could be to give a complete picture of the field. That said, this is an important milestone for HCI and should be readable (and read) by all who have taken a basic HCI course.

Editorial Review:

Finally-a thorough pedagogical survey of the multidisciplinary science of HCI.

Human-Computer Interaction spans many disciplines, from the social and behavioral sciences to information and computer technology. But of all the textbooks on HCI technology and applications, none has adequately addressed HCI's multidisciplinary foundations-until now.

HCI Models, Theories, and Frameworks fills a huge void in the education and training of advanced HCI students. Its authors comprise a veritable house of diamonds-internationally known HCI researchers, every one of whom has successfully applied a unique scientific method to solve practical problems.

Each chapter focuses on a different scientific analysis or approach, but all in an identical format, especially designed to facilitate comparison of the various models.

Reasoning about Uncertainty

Joseph Y. Halpern

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Editorial Review:

Uncertainty is a fundamental and unavoidable feature of daily life; in order to deal with uncertaintly intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty; the material is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.

Halpern begins by surveying possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures. He considers the updating of beliefs based on changing information and the relation to Bayes' theorem; this leads to a discussion of qualitative, quantitative, and plausibilistic Bayesian networks. He considers not only the uncertainty of a single agent but also uncertainty in a multi-agent framework. Halpern then considers the formal logical systems for reasoning about uncertainty. He discusses knowledge and belief; default reasoning and the semantics of default; reasoning about counterfactuals, and combining probability and counterfactuals; belief revision; first-order modal logic; and statistics and beliefs. He includes a series of exercises at the end of each chapter.

Cocoa Design Patterns (Developer's Library)

Erik M. Buck, Donald Yacktman

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Editorial Review:

Much of the technology embodied by Apple's Cocoa software development frameworks have been in commercial use since 1988, and in spite of many years of use, the Cocoa frameworks are still revolutionary. Cocoa technology has been marketed with a variety of names including NeXTstep, OpenStep*, Rhapsody, and Yellow Box. In recent years, Apple has expanded the frameworks dramatically and added new tools to raise the bar for Cocoa programmer productivity beyond its already famously high levels.

Programmers are often overwhelmed by the breadth and sophistication of Cocoa when they first start using the frameworks. Cocoa is huge, but it’s also elegant in its consistency and simplicity which result from the application of patterns throughout its design. Understanding the patterns enables the most effective use of the frameworks and serves as a guide for writing your own applications.

This book explains the object-oriented design patterns found in Apple’s Cocoa frameworks. Design patterns aren't unique to Cocoa; they're recognized in most reusable software libraries and available in any software development environment. Design patterns simply identify recurring software problems and best practices for solving them. The primary goal of this book is to supply insight into the design and rationale of Cocoa, but with that insight, you'll be able to effectively re-use the tried and true patterns in your own software - even if you aren't using Cocoa.

Intranets for Info Pros

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A top pick not to be missed 5 out of 5 stars.
1 of 4 people found this review helpful.

INTRANETS FOR INFO PROS is for informational professionals responsible for implementing or contributing to an intranet, and gathers the experiences of ten expert contributors who describe trends, best practices, and organizational change. Both computer and business libraries will find the details invaluable, surveying the technical directions of intranets and issues ranging from collaboration to management. From tailoring procedures for more effective company use and communications to initiating special governance efforts, INTRANETS FOR INFO PROS is a top pick not to be missed by any collection strong in library science or computer management.

Diane C. Donovan
California Bookwatch

Editorial Review:

The intranet is among the primary landscapes in which information-based work occurs, yet many info pros continue to view it with equal parts skepticism and dread. In Intranets for Info Pros, editors Mary Lee Kennedy and Jane Dysart and their 10 expert contributors provide support and encouragement to the information professional responsible for implementing or contributing to an intranet. Chapters demonstrate the intranet's strategic value, describe important trends and best practices, and equip info pros to make a key contribution to their organization's intranet success.

Readings in Information Visualization: Using Vision to Think (Interactive Technologies)

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Editorial Review:

This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas.

* Full-color reproduction throughout
* Author power team – an exciting and timely collaboration between the field's pioneering, most-respected names
* The only book on Information Visualization with the depth necessary for use as a text or as a reference for the information professional
* Text includes the classic source papers as well as a collection of cutting edge work

Knowledge Acquisition in Practice: A Step-by-step Guide (Decision Engineering)

N.R. Milton

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Editorial Review:

Recent years have seen an upsurge of interest in knowledge. Leading organisations now recognise the importance of identifying what they know, sharing what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of expertise and making use of knowledge modelling methods and the latest web technologies.

Knowledge Acquisition in Practice is the first book to provide a detailed step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its successful conclusion. Each step is described in terms of the reasons for the step, the required resources, the activities to be undertaken, and the solutions to common problems. In addition, each step has a checklist which lists the key items that should be achieved during the step.

Knowledge Acquisition in Practice will be of value to knowledge engineers, knowledge workers, knowledge officers and ontological engineers. The book will also be of interest to students and researchers of AI, computer science and business studies.

Modern Coding Theory

Tom Richardson, Ruediger Urbanke

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Editorial Review:

Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures, available online: www.cambridge.org/9780521852296.

Uncertain Inference

Jr, Henry E. Kyburg, Choh Man Teng

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JM Keynes,not Kyburg,founded the interval valued approach 4 out of 5 stars.
2 of 10 people found this review helpful.

This is a very interesting book which is tarnished to some degree by the failure of the two authors to discuss all of the relevant accomplishments made by J M Keynes in the A Treatise on Probability(1921) and by Rudolf Carnap in the Logical Foundations of Probability(1950).These omissions appear in practically all of H E Kyburg's work,starting with his Probability and the Logic of Rational Belief(1961),and continuing through The Logical Foundations of Statistical Inference(1974),Studies in Subjective Probability(1980,2nd edition),Epistemology and Inference(1983),Probability is the Very Guide to Life(2003),and Uncertain Inference(2001).The first error of omission occurs with respect to the case of interval valued probability.Kyburg claims the following:"Keynes had little to offer by way of a systemization of his logical probability".(Kyburg,(2001),pp.80-81).Kyburg credits Smith,Good,Levi,Dempster,Shafer,Walley,and himself as the major contributors who have developed and/or refined the interval valued(imprecise)approach to probability over the last 40 odd years.Contrary to Kyburg,Keynes adapted Boole's 1854 approach into a systematic method for specifying interval valued probabilities in his A Treatise on Probability in chapter 15,pp.160-163 and in chapter 17,pp.186-194.Keynes states this very clearly:"Most of such comparisons(inexact numerical comparison)must be based on the principles of Chapter V.It is possible ,however,to develop a systematic method of approximation which may be occasionally useful."(Keynes,1921,p.161)Keynes then credits both G Boole and G Yule,although clearly Boole has priority. Kyburg makes the same error again in his discussion of interval estimates on pp.113-115.Keynes is not mentioned.The second omission in this book is the failure to cover Keynes's index for weight of the evidence,w,which Keynes integrated into a decision rule which he called a conventional coefficient of weight and risk,c.There is no discussion of D.Ellsberg's very similar index to measure the ambiguity of the evidence,rho,which Ellsberg likewise integrated into a decision rule.The third omission is Kyburg's failure to discuss the contribution of Carnap in the last chapter of his 1950 book, titled Estimation.Pages 554-559 of Carnap's book are important in that the reliability of an estimate of a probability ,in areas where statistical frequences are the only source of evidence,such as the atomic and subatomic particles of physics,the molecules of chemistry,and the cells,genes,and chromesomes of biology,is given by the standard error of the estimate,which is the same as Keynes's probable error of the estimate.Carnap's urn ball model and his discussion of it on pages 558-559 reaches practically the same conclusions as reached by Keynes and Ellsberg.Kyburg,unfortunately,restricts his discussion of Carnap only to Carnap's degree of confirmation c(h,e) and the theoretical state and structure descriptions listed by Carnap in the first half of his book

Editorial Review:

Coping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. It is a vital element in developing artificial intelligence that will not be undermined by its own rigidities. There have been many approaches to the problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. This book seeks to provide a clear exposition of these approaches within a unified framework.

Introduction to Cryptography (Undergraduate Texts in Mathematics)

Johannes Buchmann

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Total reviews: 4 Average rating: 3.0 of 5

Editorial Review:

Cryptography is a key technology in electronic key systems. It is used to keep data secret, digitally sign documents, access control, and so forth. Users therefore should not only know how its techniques work, but they must also be able to estimate their efficiency and security. Based on courses taught by the author, this book explains the basic methods of modern cryptography. It is written for readers with only basic mathematical knowledge who are interested in modern cryptographic algorithms and their mathematical foundation. Several exercises are included following each chapter. This revised and extended edition includes new material on the AES encryption algorithm, the SHA-1 Hash algorithm, on secret sharing, as well as updates in the chapters on factoring and discrete logarithms.

 

Johannes A. Buchmann is Professor of Computer Science and Mathematics at the Technical University of Darmstadt, and an Associate Editor of the Journal of Cryptology. In 1985, he received a Feodor Lynen Fellowship of the Alexander von Humboldt Foundation. He has also received the most prestigious award in science in Germany, the Leibniz Award of the German Science Foundation (Deutsche Forschungsgemeinschaft).