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Intelligent Data Engineering and Automated Learning – IDEAL 2008

9th International Conference Daejeon, South Korea, November 2-5, 2008 Proceedings

Colin Fyfe

Kirjasarja: Lecture Notes in Computer Science, osa 5326

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Intelligent Data Engineering and Automated Learning – IDEAL 2008 : 9th International Conference Daejeon, South Korea, November 2-5, 2008 Proceedings

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Tiedot

Kustantaja/julkaisija

Springer Berlin Heidelberg

Sidosasu

ISBN

354088906X

9783540889069

Kieli

englanti

Alkuperäinen nimi

-

Kaikki tekijät

Colin Fyfe

Tuotekategoriat

-

Esittely

s:1261:"IDEAL 2008 was the ninth IDEAL conference to take place; earlier editions were held in Hong Kong, the UK, Australia and Spain. This was the first time, though hopefully not the last time, that it took place in Daejeon, South Korea, during November 2–5, 2008. As the name suggests, the conference attracts researchers who are involved in either data engineering or learning or, increasingly, both. The former topic involves such aspects as data mining (or intelligent knowledge discovery from databases), infor- tion retrieval systems, data warehousing, speech/image/video processing, and mul- media data analysis. There has been a traditional strand of data engineering at IDEAL conferences which has been based on financial data management such as fraud det- tion, portfolio analysis, prediction and so on. This has more recently been joined by a strand devoted to bioinformatics, particularly neuroinformatics and gene expression analysis. Learning is the other major topic for these conferences and this is addressed by - searchers in artificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent modelling. The core of all these algorithms is adaptation.";

Aiheet

Computer science.

Algorithms.

Database management.

Data mining.

Artificial intelligence.

Bioinformatics.

Computer Science.

Database Management.

Algorithm Analysis and Problem Complexity.

Artificial Intelligence (incl. Robotics).

Information Systems Applications (incl. Internet).

Data Mining and Knowledge Discovery.

Computational Biology/Bioinformatics.

Computers