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

By J. D. Velasquez, V. Palade

This booklet could be awarded in other ways; introducing a selected technique to construct adaptive websites and; offering the most options in the back of net mining after which using them to adaptive websites. thus, adaptive sites is the case research to exemplify the instruments brought within the textual content. The authors begin through introducing the internet and motivating the necessity for adaptive websites. the second one bankruptcy introduces the most innovations in the back of an internet site: its operation, its linked information and constitution, person classes, and so on. bankruptcy 3 explains the net mining technique and the instruments to research net facts, in most cases concentrated in computing device studying. The fourth bankruptcy seems to be at the best way to shop and deal with facts. bankruptcy 5 seems on the 3 major and diverse mining initiatives: content material, hyperlinks and utilization. the next bankruptcy covers internet personalization, an important subject if we wish to adapt our website to express teams of individuals. bankruptcy seven indicates tips to use info extraction thoughts to discover person habit styles. the following bankruptcy explains the way to gather and continue wisdom extracted from the former section. ultimately, bankruptcy 9 includes the case examine the place all of the past ideas are utilized to give a framework to construct adaptive websites. In different phrases, the authors have treated writing a self-contained booklet for those who are looking to examine and practice personalization and version in websites. this can be commendable contemplating the massive and lengthening bibliography in those and similar subject matters. The writing is straightforward to stick to and even though the assurance isn't really exhaustive, the most ideas and themes are all covered.

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

Sample text

The most frequent data problems, based on a literature review and practical cases [113, 128], are: • Data consistency. Very frequently, the data has consistency problems, as the operational system has not correctly validated the data. • Data manipulation errors which tend to occur when operational systems tests are undertaken or updated without correct planning. • Irrelevant Data. Depending on the kind of data analysis to be performed, it is necessary to filter out irrelevant data. To put it succinctly, “garbage-in, garbage-out”; incorrect data lead to incorrect results, so that correcting steps are mandatory for a successful data mining process.

1 Artificial Neural Networks (ANN) ANN represents a mathematical model for the operation of biological neurons from brain and, like biological neural structures, ANNs are usually organized in layers. A simple model for a neuron is shown in Fig. 2. The neuron is modelled as an activation function that receives stimulus from others neurons, represented by inputs with associate weights. 5. 4) i is the most widely used model of an articial neuron. A “perceptron” network is a one-layer ANN, and it was first used by Rosenblatt in 1957 [194] for basic classification tasks.

4: A web page represented in the vector space model could be incorporated in the final expression of the hypertext vector representation with a different weight, to get some idea about the user text preferences [242]. 2 Web page links When a web page contains a hyperlink pointing to another web page, usually these two pages become related by content. If a set of web pages have hyperlinks among them, these links create a community made up of common information [97], as shown in Fig. 5. By construction, Fig.

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