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

By J. D. Velasquez, V. Palade

This e-book could be offered in alternative ways; introducing a specific method to construct adaptive sites and; offering the most strategies in the back of net mining after which employing them to adaptive websites. therefore, adaptive websites is the case examine to exemplify the instruments brought within the textual content. The authors commence via introducing the internet and motivating the necessity for adaptive sites. the second one bankruptcy introduces the most thoughts at the back of an internet site: its operation, its linked info and constitution, consumer periods, and so forth. bankruptcy 3 explains the net mining approach and the instruments to research internet facts, more often than not concentrated in computing device studying. The fourth bankruptcy appears at tips to shop and deal with info. bankruptcy 5 seems on the 3 major and assorted mining projects: content material, hyperlinks and utilization. the subsequent bankruptcy covers internet personalization, an important subject if we wish to adapt our web site to precise teams of individuals. bankruptcy seven indicates how one can use info extraction innovations to discover consumer habit styles. the next bankruptcy explains tips on how to collect and retain wisdom extracted from the former part. ultimately, bankruptcy 9 includes the case research the place the entire prior options are utilized to provide a framework to construct adaptive sites. In different phrases, the authors have handled writing a self-contained ebook for those that are looking to examine and follow personalization and edition in websites. this is often commendable contemplating the big and extending bibliography in those and comparable issues. The writing is simple to keep on with and even though the assurance isn't really exhaustive, the most suggestions and subject matters are all covered.

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

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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. Chapter 7 tackles this issue and presents a practical approximation for the pattern and knowledge extraction process from web data. The newly extracted knowledge must be maintained to allow consultation by human users or artificial systems.

4 CHAPTER 3 Data Mining Data mining is the core of the KDD process and can be briefly described as the process of extracting patterns from a set of data. Data mining has been a very active field as, recently, the amount of data being produced has increased exponentially whilst the cost of storage devices, like hard disks, has decreased. Moreover, classical statistics techniques are inefficient when compared to data mining. For example, as a general characterisation, data mining algorithms are able to scale up well to large data sets, while traditional statistical algorithms execute in quadratic run-time.

1 Web page content Web texts can be organized as free text, semi-structured as HTML, or fully structured as tables or databases [176]. Web user preferences can be represented using these categories [154]. For example, understanding which words or concepts are more important to the user may help to create new content for web pages [228]. Beyond analyzing the words contained in the web pages, we are also interested in extracting concepts from hyperlinks [47], which are related to the information that the user is searching for.

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