Monday, September 17

Workshop on Knowledge Discovery from Ubiquitous Data Streams – IWKDUDS’07

Chairs: João Gama, Mohamed Gaber, Jesus Aguilar

Room 106

This workshop is accompanied by the tutorial “State-of-the-Art in Data Stream Mining”.

Session 1 - 14:00-15:30

Network-based Scientific Data Acquisition: Lessons Learned and Challenges Ahead

by P. Bonnet (Invited talk)

Learning an Outlier-Robust Kalman Filter
by J. Ting, E. Theodorou, S. Schaal

A Model for Quality Guaranteed Resource-Aware Stream Mining

by M. Karnstedt, C. Franke, M. Gaber

Efficient Secure Query Processing in XML Data Stream
by Dong-Chan An, Seog Park

Enhanced Anytime Algorithm for Induction of Oblivious Decision Trees

by Mark Last, A. Saveliev

Quasi-Incremental Bayesian Classifier
by M. Yoshida, E. Hruschhka

15:30-16:00 Coffee break

Session 2 – 16:00-17:20

Learning Novel Concepts: Beyond One-class Classification with OLINDDA

by E. Spinosa, A. Carvalho and J. Gama

Resource-aware Distributed Online Data Mining for Wireless Sensor Networks

by N. Phung, M. Gaber, U. Roehm

An Architecture for Context-Aware Adaptive Data Stream Mining

by P. Haghighi, M. Gaber, S. Krishnaswamy, A. Zaslavsky, S. Loke

S-means: Similarity Driven Clustering and Its application in Gravitational-Wave Astronomy Data Mining
by Lei, L. Tang, J. Iglesias

PQStream: A Data Stream Architecture for Electrical Power

by D. Kucuk, B. Boyrazoglu, S. Buhan

A Semi-Fuzzy Approach for Online Divisive-Agglomerative Clustering

by P. Rodrigues, J. Gama

Relational Transformation-based Tagging for Human Activity Recognition

by N. Landwehr, B. Gutmann, I. Thon, M. Philipose, L. de Raedt