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Advances in Intelligent Data Analysis VII
Michael R. BertholdJohn Shawe-Taylor
其他書名
7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings
出版Springer Science & Business Media, 2007-08-28
主題Business & Economics / Information ManagementComputers / Artificial Intelligence / GeneralComputers / Business & Productivity Software / GeneralComputers / Computer ScienceComputers / Artificial Intelligence / Computer Vision & Pattern RecognitionComputers / Data Science / GeneralComputers / Database Administration & ManagementComputers / Data Science / Data WarehousingComputers / Artificial Intelligence / Expert SystemsComputers / System Administration / Storage & RetrievalComputers / Information TechnologyComputers / Management Information SystemsComputers / Optical Data ProcessingComputers / Mathematical & Statistical SoftwareComputers / Desktop Applications / GeneralMathematics / Discrete MathematicsMathematics / Probability & Statistics / GeneralPolitical Science / Public Affairs & Administration
ISBN35407482459783540748243
URLhttp://books.google.com.hk/books?id=1oM3atL3bBQC&hl=&source=gbs_api
EBookSAMPLE
註釋Weareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of “bringing together researchers from diverse disciplines,” we believe we have achieved an excellent balance of presentationsfromthemoretheoretical–bothstatisticalandmachinelearning– to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds.