The Frontiers in Intelligent Data and Signal Analysis (DSA2011)

Venue: New York

Location: New York, United States

Event Date/Time: Sep 21, 2011 End Date/Time: Sep 23, 2011
Registration Date: Sep 23, 2011
Early Registration Date: Mar 01, 2011
Abstract Submission Date: Feb 01, 2011
Paper Submission Date: Feb 01, 2011
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The World Congress "The Frontier of Intelligent Data and Signal Analysis" DAS 2011 is held in New York. This is one of the most important international conferences in the field of Data Mining and Machine Learning, where you can learn about the latest developments and trends. The congress combines top-notch scientific events with specialized industrial forums and exhibitions, thus offering an excellent platform for scientists, engineers and decision makers from industry, but also for young professionals, for acquiring thorough, quick and broad information on this subject.


Additional Information

Why is intelligent data and signal analysis of such importance? Our everyday life nowadays is characterized by the digital age. Every day a multitude of information is created that can be processed by computers. This information often exists as data base entries in numerical or symbolic form. There are, however, digital signals also that are collected and stored for example by medical equipment in diagnosis and the surveillance of patients, but also in industrial production and quality control. In the World Wide Web users of web contents and also the providers leave a large number of data that can be used for further analysis. A multitude of image data is stored that is created by many individuals with digital cameras for personal use, but also in the professional field by scanners in medicine or industry. In addition, there are texts in digital form that are published in the internet by professionals or private persons. All this data forms a data pool that should do more than just fill the servers or databases of the world and thus strain resources. To create from this data flood a new quality that leads to new products, treatments in medicine, new services - this should be the way into a new future, always geared to the needs of the human being. It requires intelligent mathematical procedures that can be translated into computer programs and that can efficiently convert this enormous data flood into information of general interest.