Get Adaptive Web Sites: A Knowledge Extraction from Web Data PDF

By J. D. Velasquez, V. Palade

ISBN-10: 1586038311

ISBN-13: 9781586038311

This publication may be awarded in alternative ways; introducing a specific method to construct adaptive sites and; offering the most options at the back of internet mining after which utilising them to adaptive websites. as a consequence, adaptive sites is the case research to exemplify the instruments brought within the textual content. The authors begin by way of introducing the net and motivating the necessity for adaptive sites. the second one bankruptcy introduces the most thoughts in the back of a website: its operation, its linked facts and constitution, consumer classes, and so on. bankruptcy 3 explains the internet mining technique and the instruments to research net information, almost always targeted in laptop studying. The fourth bankruptcy seems to be at find out how to shop and deal with facts. bankruptcy 5 appears to be like on the 3 major and diversified mining projects: content material, hyperlinks and utilization. the subsequent bankruptcy covers internet personalization, a vital subject if we wish to adapt our website to express teams of individuals. bankruptcy seven exhibits tips on how to use info extraction recommendations to discover consumer habit styles. the next bankruptcy explains tips to gather and continue wisdom extracted from the former section. eventually, bankruptcy 9 comprises the case learn the place the entire prior strategies are utilized to provide a framework to construct adaptive websites. In different phrases, the authors have treated writing a self-contained booklet for those that are looking to examine and practice personalization and model in sites. this is often commendable contemplating the big and lengthening bibliography in those and comparable themes. The writing is straightforward to stick with and even though the insurance isn't really exhaustive, the most options and subject matters are all covered.

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Extra resources for Adaptive Web Sites: A Knowledge Extraction from Web Data Approach

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3. 5: A web community as a directed graph of pages [130]: • Authorities. , they are pointed or referenced from other web sites. • Hub. , a collection of links to favorite web sites. With this classification, the most relevant pages for a community can be identified, providing relevant information on a given topic [50]. This procedure is used in search engines like Google and Yahoo!. 4. SUMMARY Summary Three types of web data have special significance for discovering new patterns about web user behavior: web logs, web pages and the web hyperlinks structure.

Pk } the desired partitions, with k ≤ n. A partition pi is a subset of X such that: • pi = φ ∀ i = 1, . . , k. • X = ∪ki=1 pi . 4. DATA MINING CHAPTER 3 • pi ∩ p j = φ ∀ i = j Hierarchical Clustering. The main idea is to built a hierarchical decomposition of a data set using either an agglomerative or a divisive method. The first approach begins defining each point as a cluster. Then, similar clusters are merged until a terminal condition is met. In contrast, the second approach assumes that initially all objects belong to the same cluster and then split it up, in a top-down manner, until the terminal condition is satisfied.

In chapter 4, a Web Information Repository (WIR) is proposed using data warehouse architecture for storing web data and information extracted during the web site operation. Chapter 5 presents a short survey of the main issues and associated algorithms for mining web data. The chapter concludes by showing some practical applications of web mining algorithms in real world cases. This chapter also gives details about the structure and the operation of AWSs. 3. STRUCTURE OF THE BOOK CHAPTER 1 rithms and models for analyzing the user’s behavior on the web site.

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Adaptive Web Sites: A Knowledge Extraction from Web Data Approach by J. D. Velasquez, V. Palade


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