Adaptive Web Sites: A Knowledge Extraction from Web Data Approach - Volume 170 Frontiers in Artificial Intelligence and Applications

Product Description

This book can be presented in two different ways; introducing a particular methodology to build adaptive Web sites and; presenting the main concepts behind Web mining and then applying them to adaptive Web sites. In this case, adaptive Web sites is the case study to exemplify the tools introduced in the text. The authors start by introducing the Web and motivating the need for adaptive Web sites. The second chapter introduces the main concepts behind a Web site: its operation, its associated data and structure, user sessions, etc. Chapter three explains the Web mining process and the tools to analyze Web data, mainly focused in machine learning. The fourth chapter looks at how to store and manage data.

Chapter five looks at the three main and different mining tasks: content, links and usage. The following chapter covers Web personalization, a crucial topic if we want to adapt our site to specific groups of people. Chapter seven shows how to use information extraction techniques to find user behavior patterns. The subsequent chapter explains how to acquire and maintain knowledge extracted from the previous phase. Finally, chapter nine contains the case study where all the previous concepts are applied to present a framework to build adaptive Web sites. In other words, the authors have taken care of writing a self-contained book for people that want to learn and apply personalization and adaptation in Web sites. This is commendable considering the large and increasing bibliography in these and related topics. The writing is easy to follow and although the coverage is not exhaustive, the main concepts and topics are all covered.


Product Details
Hardcover: 296 pages
Publisher: IOS Press (January 15, 2008)
Language: English
ISBN-10: 1586038311
ISBN-13: 978-1586038311
Product Dimensions: 9.6 x 6.5 x 0.9 inches
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Data-driven Block Ciphers for Fast Telecommunication Systems

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The Most Progressive and Complete Guide to DDO-Based Ciphers
Developers have long recognized that ciphers based on Permutation Networks (PNs) and Controlled Substitution-Permutation Networks (CSPNs) allow for the implementation of a variety of Data Driven Operations (DDOs). These DDOs can provide fast encryption without incurring excessive hardware costs in modern telecommunication networks. However, until now, with a few exceptions, most DDO-based ciphers have been poorly represented in available literature and have continued to remain known to only a small number of encryption experts.

In Data-Driven Block Ciphers for Fast Telecommunication Systems, Nikolai Moldovyan and Alexander Moldovyan, major innovators and holders of several dozen international patents in encryption technology, provide the background and detail the applications needed to investigate new properties of PNs especially relevant to the improvement of modern wireless systems.Furthermore, they propose a universal architecture involving controlled bit permutation instruction that will permit the performance of both data-driven permutations and an arbitrary prescribed fixed permutation in a single cycle.
Immediately improved efficiency for current and future fast telecommunication systems and mobile networks
Because of its simplicity and efficient use of current hardware, the embedding of this architecture is a highly attractive option for CPU manufacturers.By detailing all the relevant information into a single volume for the first time, the authors of this book make that option more feasible than ever before.

Product Details
Hardcover: 208 pages
Publisher: Auerbach Publications; 1 edition (December 14, 2007)
Language: English
ISBN-10: 1420054112
ISBN-13: 978-1420054118
Product Dimensions: 9.3 x 6.2 x 0.7 inches
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