Wednesday July 11th 2007

Session 7: Data Mining, Chair Agma J.M. Traina

• Mining RNA Tertiary Motifs with Structure Graphs. Xueyi Wang (UNC-Chapel Hill), Jun Huan (Univ. of Kansas), Jack Snoeyink, Wei Wang (UNC-Chapel Hill).
• Retrieval of Spatial Join Pattern Instances from Sensor Networks. Man Lung Yiu (Aalborg University), Nikos Mamoulis (University of Hong Kong), and Spiridon Bakiras (City University of New York).
• Gene Ontology-Based Annotation Analysis and Categorization of Metabolic Pathways. Ali Cakmak, Mustafa Kirac, Marc Reynolds, Zehra Ozsoyoglu, and Gultekin Ozsoyoglu (Case Western Reserve University).
• Adaptive Wavelet Density Estimators over Data Streams. Christoph Heinz and Bernhard Seeger (University of Marburg).

Session 8: Streams, Chair Nikos Mamoulis

• Enabling Real-Time Querying of Live and Historical Stream Data. Frederick Reiss (IBM), Kurt Stockinger, Kesheng Wu, Arie Shoshani (Lawrence Berkeley National Lab), and Joseph Hellerstein (Univ. of California, Berkeley).
• iSEE: Efficient Continuous K-Nearest-Neighbor Monitoring over Moving Objects. Wei Wu and Kian-Lee Tan (National University of Singapore).
• Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining. Samer Nassar and Joerg Sander (University of Alberta).

1:30pm
to
3:00pm

Panel:

Session 10: Potpourri

• Efficient Indexing of Heterogeneous Data Streams with Automatic Performance Configurations. Ken Pu and Ying Zhu (Univ. of Ontario Inst. of Tech.).     
• Reliable Hierarchical Data Storage in Sensor Networks. Song Lin, Benjamin Arai, and Dimitrios Gunopulos (UC Riverside).       
• A Distributed Algorithm for Joins in Sensor Networks. Alex Coman and Mario Nascimento (Univ. of Alberta).
• A Fast Algorithm for Approximate Quantiles in High Speed Data Streams. Qi Zhang and Wei Wang (UNC-Chapel Hill).