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IDAIR 2015 - 3rd Intelligent Data Analysis with Applications in Information Retrieval and Machine Learning

Date2015-07-06 - 2015-07-08

Deadline2015-02-27

VenueCorfu, Greece Greece

Keywords

Websitehttps://iisa2015.unipi.gr

Topics/Call fo Papers

Intelligent Data Analysis is one of the most interesting research areas in Computing and more specifically with great impact in Computer Science, Information Systems, Information Technology and Software Engineering.
Building Intelligent Data Analysis Systems requires integration of Machine Learning, Information Retrieval, Data Mining algorithms into specific application domains. The main issues are to design, develop and implement effective Intelligent Data Analysis Systems that improve currently existing applications. Such systems mainly rely upon activity data produced by the system itself and on a custom designed data analysis process that produces desired knowledge according with certain constraints set up by a domain expert.
We want to bring together researchers from diverse disciplines and we want to achieve a balance of presentations from the more theoretical side (both statistics and computer science) as well as more application oriented areas that illustrate how these techniques can be used in practice. The field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms.
The session targets research efforts that have as outcome progress in building Intelligent Systems in any application domains such as Image and Video Processing, Multimedia Systems, E-Learning, E-Commerce, E-Society Applications, Medical Applications.
Any data analysis process, which analyse data generated by any information system, may have as output an Intelligent System. Adaptation of existing or development of new data analysis processes that use techniques from areas of Artificial Intelligence ? Intelligent Systems such as statistics, machine learning, information retrieval, data mining, recommender systems or scientific computing are welcomed.
Call for Papers
The session targets innovative work on presenting Intelligent Systems, systems that are self-adaptive, systems that improve their own performance, or systems that use state of the art data analysis processes.
The aim of the workshop is to provide an internationally respected forum for scientific research in the technologies and applications of intelligent and interactive multimedia systems and services. The workshop will be co-located with The Sixth International Conference on Information, Intelligence, Systems and Applications (IISA 2015).
We welcome presentation of innovative applications, theoretical contributions or empirical studies. There are highly appreciated submissions that bridge the gap between intelligent data analysis and other fields of research or application domains.
The 2-nd IDAIR Workshop welcomes submissions of original papers concerning all aspects of Intelligent Systems domain ranging from concepts and theoretical developments to advanced technologies and innovative applications.
Suggested topics include, but are not limited to, the following:
? Intelligent Information Systems in e-Business and e-Commerce
? Intelligent Information Systems in e-Health
? e-Learning and Information Systems
? Expert systems
? Web and Knowledge-Based Information Systems
? Medical Informatics and Biomedical Engineering
? Educational Data Mining
? Visualization and Data Mining
? Machine learning and information retrieval
? Machine learning in industrial and engineering applications
? Knowledge discovery in databases
? Information Systems in Multimedia
? Intelligent Profiling and Personalisation
? Best practices for adaptation of Intelligent Data Analysis to educational context
? Modelling and evaluation of Intelligent Data Analysis
? Accessibility and Computers
? Human-Computer Interaction and Information Retrieval
? Recommender Systems
? Qualitative data analysis and measurement
? Agent and Multi-Agent Systems

Last modified: 2015-01-14 00:17:49