WORLDCOMP'10 Tutorial: Dr. Peter Geczy

Development of world wide web has been influencing various domains of commerce, government, and academia. Its fast-paced growth and widespread adoption inherently present numerous opportunities and challenges. World wide web incorporates a broad range of data available for exploration. Data is significantly diverse, voluminous, and exhibits dynamics reflecting its evolution. Researchers and practitioners have been mining web data for several decades, yet there is a plenty of more to be done. We will briefly survey the status quo, highlight selected approaches, and expose possible promising directions in web mining.

The objective of this tutorial is to provide concise overview of the present state of issues, inherent difficulties, contemporary approaches, and potential future opportunities. Exposé of the state-of-the-art in web mining should prove beneficial to a wide spectrum of individuals researching, studying and/or utilizing web mining techniques for both academic and commercial purposes.

The tutorial aims to approach a broad audience including, but not limited to:

• Students and Educators
• Academics and Researchers
• Practitioners and Managers
  

Dr. Peter Geczy is a senior scientist at The National Institute of Advanced Industrial Science and Technology (AIST). He also held positions at The Institute of Physical and Chemical Research (RIKEN) and The Research Center for Future Technology. His interdisciplinary scientific interests encompass domains of data and web mining, human interactions and behavior in digital environments, information systems, knowledge management and engineering, artificial intelligence, and machine learning. His recent research focus also extends to the spheres of service science, engineering, management, and computing. He received several awards in recognition of his accomplishments. Dr. Geczy has been serving on various professional committees, editorial boards, and has been a distinguished speaker in academia and industry.