The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.
Fakultät für Informatik - W2-Professur Data Mining
In der Fakultät für Informatik der Technischen Universität Dortmund ist baldmöglichst eine Universitätsprofessur W2 (Praktische Informatik) Data Mining zu besetzen.
Bewerberinnen und Bewerber sollen sich in Forschung und Lehre schwerpunktmäßig der Analyse sehr großer Datenmengen, z. B. mit Spezialisierung im Bereich des Relationalen Lernens und Anwendungen in den Lebenswissenschaften widmen und darin international in besonderem Maße wissenschaftlich ausgewiesen sein. Die Mitwirkung am SFB 876, Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung, wird erwartet, ebenso wie eine angemessene Beteiligung an der grundständigen Lehre in den Studiengängen der Fakultät für Informatik, bei der Förderung des wissenschaftlichen Nachwuchses und an der Selbstverwaltung der Technischen Universität Dortmund.
Bewerbungen mit den üblichen Unterlagen werden erbeten bis zum 07.06.2012 an die
Dekanin der Fakultät für Informatik,
Prof. Dr. Gabriele Kern-Isberner,
Technische Universität Dortmund,
44221 Dortmund,
Tel.: 0231 755-2121,
Fax: 0231 755-2130,
E-Mail: dekan.cs@udo.edu
Every year Informatica Feminale offers compact teachings in Informatics (Computer Science) for women students of all types of universities and colleges as well as for women professionals interested in further training. Entering higher education, developing student careers, transition into labor market and lifelong academic learning are equally in the field of vision. Inter/national lecturers and students meet at the Summer University in Bremen to exchange, experiment and find new concepts for Informatics and related disciplines in higher education.
The 15th International Summer University is held at the University of Bremen from Monday, 20th of August 2012 until Friday, 31st of August 2012. more ...
Big data in machine learning is the future. But how to deal with data analysis and limited resources: Computational power, data distribution, energy or memory?
From 4th to 7th of September, the TU Dortmund University, Germany, will host this summer school on resource-aware machine learning. Further information and online registration at: http://sfb876.tu-dortmund.de/SummerSchool2012
Topics of the lectures include: Mining of ubiquitous data streams, criteria for efficient model selection or dealing with energy constraints... The theoretical lessons are accompanied by exercises and practical introductions: Analysis with RapidMiner and R, massively parallel programming with CUDA. A Data Mining Competition lets you test your machine learning skills on real world smartphone data.
The summer school is open for international PhD or advanced master students, who want to learn cutting edge techniques for machine learning with constrained resources.
Excellent students may apply for a student grant supporting travel and accommodation. Deadline for application is 1st of June.
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The IEEE International Conference on Data Mining (ICDM) has established itself as a premier research conference in data mining. It provides a leading forum for the presentation of original research results, as well as exchange and dissemination of innovative ideas, drawing researchers and practitioners from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases, visualization, high performance computing, and so on. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference will feature invited talks from research and industry leaders, as well as workshops, tutorials, panels, and the ICDM data mining contest.
Dealine: June, 18th, 2012
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