Knowledge Discovery and Data Mining -Day 1 & 2

The 13th International Conference on Knowledge Discovery and Data Mining (KDD) 2007 conference started on Saturday, 11 Aug, 2007 at the Fairmont Hotel, San Jose, California. The conference is sponsored by Microsoft adCenter Labs (Platinum support), Google, Yahoo, Oracle (Gold supporters) and KDD organization (Organizational support). The registration stared at 5.00 p.m. with no technical sessions or workshops on the first day. The volunteers had a review session at 3.00 p.m. to 4.00 p.m. (I am working as a student volunteer this year for the conference). The technical workshops and tutorials started on Sunday at 9.00 in morning. The full day workshop consisted of various topics including Data Mining and Audience Intelligence for Advertising, Data Mining in Bioinformatics, KDD Cup, Knowledge Discovery from Sensor Data, Privacy, Security, and Trust in KDD and Web Mining and Social Network Analysis. The half day workshops included Multimedia Data Mining, Mining Multiple Information Sources, Challenge on Time Series Classification, Data Mining Standards, Services and Platforms, and Domain Driven Data Mining.
The tutorials topics included Mining Large Time-evolving Data Using Matrix and Tensor Tools, Statistical Framework for Mining Data Streams, Statistical Modeling of Relational Data, Text Mining and Link Analysis for Web and Semantic Web, Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods, Learning Bayesian Networks and Mining Shape and Time Series Databases with Symbolic Representations.
The morning session consisted of three hours having a twenty minutes coffee break in between the sessions followed by lunch and then the afternoon session with the same format.
In the evening there was an award ceremony for best paper, student travel and Service and Innovation Awards followed by Innovation Award Talk by Usama Fayyad. The conference attracted various researchers around the globe in the field of Data Mining and Knowledge Discovery. I personally met some researchers and graduate students working in my area of interest. The conference provided the state-of-the-art research in area of data mining and a perfect platform for networking and meeting the leading researchers and industry personnel. I look forward to the next three days which should be very exciting and technically challenging.