Artificial Intelligence An International Perspective: An by John Atkinson, Mauricio Solar (auth.), Max Bramer (eds.)

By John Atkinson, Mauricio Solar (auth.), Max Bramer (eds.)

Artificial Intelligence (AI) is a quickly transforming into inter-disciplinary box with a protracted and special heritage that includes many nations and significantly pre-dates the advance of pcs. it may be traced again at the very least so far as old Greece and has developed through the years to turn into an enormous subfield of computing device technology in general.

This cutting-edge survey not just serves as a "position paper" at the box from the point of view of professional individuals of the IFIP Technical Committee 12, its operating teams and their colleagues, but in addition provides overviews of present paintings in several countries.

The chapters describe very important fairly new or rising components of labor within which the authors are in my opinion concerned, together with textual content and hypertext categorization; independent platforms; affective intelligence; AI in digital healthcare platforms; artifact-mediated society and social intelligence layout; multilingual wisdom administration; brokers, intelligence and instruments; clever consumer profiling; and provide chain company intelligence. they supply a fascinating overseas viewpoint on the place this crucial box goes on the finish of the 1st decade of the twenty-first century.

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Automatic Web Page Categorization by Link and Context Analysis. In: Proceedings of THAI’99, pp. : Distributional clustering of words for text classification. In: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, pp. : An empirical study for hypertext categorization. In: IEEE International Conference on Systems, Man and Cybernetics, 2004, vol. : Neighbourhood Exploitation in Hypertext Categorization. In: Proceedings of the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, December 2004, pp.

Tokens that contain numeric or nonalphanumeric characters are often omitted, even though sometimes they should not be. For example the token “c++” might indicate a programming language. Such a normalization step would ideally make use of both domain- and application-specific knowledge. Following indexation, if training documents are being processed all distinct index terms are merged to generate a set of potential features that might be used in the dictionary. Usually, the large size of the dictionary is reduced at the dimensionality reduction step.

E. e. data between and . e. concatenate it to the target page. , web pages of extremely diverse topics link to Yahoo! or BBC news web pages. Many techniques have been used to filter out the noisy link information. There are many different ways to measure how similar two documents are, including Euclidian distance, Cosine measure and Jaccard measure. The cosine measure is a very common similarity measure for textual datasets. D B D A 2 . w iB 2 iA ¦ n i 1 w iB2 where wiA represents the weight of index i in document A.

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