By Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda

This e-book constitutes the completely refereed postproceedings of the second one overseas Workshop on energetic Mining, AM 2003, held in Maebashi, Japan, in October 2003 as a satellite tv for pc workshop of ISMIS 2003.

The sixteen revised complete papers awarded including 2 educational papers and an outline of the japanese energetic Mining venture went via 2 rounds of reviewing and development and have been chosen from initialy 38 submissions. The papers are geared up in topical sections on lively details assortment, energetic info mining, and lively consumer response. Many present features of lively mining are addressed, starting from theoretical and methodological subject matters to algorithms and their purposes in fields akin to bioinformatics, drugs, and lifestyles technological know-how extra generally.

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Additional info for Active Mining: Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003. Revised Selected Papers

Example text

In a numerical context, digitising provides tools for signal processing (compression, scripting, watermarking). In addition, digitised temporal contents can be integrated into a computer information system for exchange and management [9, 10, 11, 12, 13]. 2 Computer Information Systems Digitising is a process, which results in content transformation, by applying techniques issued from signal processing, pattern recognition, and more generally applied mathematics. Computerisation concerns exchanging and handling contents, by applying techniques issued from document engineering, software engineering, and more generally symbolic computing.

However, the documentary system of the reader is the book, it is not the library. 2 Outcomes of Digitising: Granularity and Digitising The massive digitising of content has had many consequences on indexing. Digitising may have a more or less impact on indexing, depending on the way it is managed. We can distinguish two approaches : digitising the physical support of appropriation, and digitising the semiotic support of appropriation. Digitising the physical support means that the content format has been digitised.

Secondary structure prediction with support vector machines, Bioinformatics, 19:1650-1655, 2003. 38. , Dynamic alignment kernels, Advances in Large Margin Classifiers, 39-50, MA, MIT Press, 2000. 39. , A tree kernel to analyse phylogenetic profiles, Bioinformatics, 18:S276S284, 2002. 40. , Nakaya, A. , Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis, Bioinformatics, 19:i323-i330, 2003. fr Abstract. In this paper we present a review of recent research and development works, which have been developed in the domain of indexing and mining audio-visual document.

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