Multimedia Data Mining Workflows: Efficiency and Effectiveness


Mercoledi' 15 Luglio alle ore 11 in aula 1BC/50 il Prof. K. Selcuk Candan (Arizona State University) terra' un seminario dal titolo "Multimedia Data Mining Workflows: Efficiency and Effectiveness".

Media analysis and mining involve processing of large quantities of real-time and/or stored data and measurements. Data (whether captured in real-time through sensory measurements or processed, materialized, and stored for later use) are many times accurate only within a margin of error. Moreover, in many applications, the utility of a data element to a particular analysis task depends on the usage context. The fundamental principles that govern the next generation of media/data analysis middleware must include data and operator imprecision, relevance of data to a particular analysis task, and the interest and expertise of the knowledge consumer. In this talk, I will discuss challenges for and opportunities in developing efficient and effective analysis middleware to support large scale data processing and decision making applications, where the data elements, metadata, and the operations on the data may be imprecise.

K. Selcuk Candan is an associate professor at the School of Computing and Informatics (Department of Computer Science and Engineering) at the Arizona State University. He joined the department in August 1997, after receiving his Ph.D. from the Computer Science Department at the University of Maryland at College Park. Prof. Candan's primary research interest is in the area of management of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data. He has published over 130 articles and many book chapters. He has also authored 9 patents. Currently, Prof. Candan is an editorial board member of the Very Large Databases (VLDB) journal. He has also served in the organization and program committees of many conferences. In 2006, he served as an organization committee member for SIGMOD'06, the flagship database conference of the ACM. In 2008, he served as a PC Chair for another leading, flagship conference of the ACM, this time focusing on multimedia research (SIGMM'08). He received his B.S. degree in computer science from Bilkent University in Turkey in1993.

Rif. int. S. Crafa