I’;m at the 2010 ECML/PKDD Conference in Barcelona, Spain; I’;ll be presenting a paper (slides, paper) at the Workshop on Privacy and Security in Data Mining and Machine Learning (PSDML). Check out the real-time posts on twitter here.

Also, in a similar fashion to what Daniele did for CIKM 2010, here is a completely arbitrary, title-biased pick of papers from the conference:

• “Demand Drive Tag Recommendation” by G.V. Menezes, J.M. Almeida, F. Belen, M.A. Goncalves, A. Lacerda, E.S. de Moura, G.L. Pappa, A. Veloso, N. Ziviani
• “Fast and Scalable Algorithms for Semi-Supervised Link Prediction on Static and Dynamic Graphs” by R. Raymond and H. Kashima
• “Collecting Traffic Forecasting” by M. Lippi, M. Bertini, P. Frasconi
• “Selecting Information Diffusion Models Over Social Networks for Behavioral Analysis” by K. Saito, M. Kimura, K. Ohara, H. Motoda
• “Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks” by C.J. Kuhlman, V.S.A Kumar, M.V. Marathe, S.S. Ravi, D.J. Rosenkrantz
• “Analysis of Large Multi-Modal Social Networks: Patterns and a Generator” by N. Du, H. Wang, C. Faloutsos
• “Surprising Patterns for the Call Duration Distribution of Mobile Phone Users” by P.O.S. Vez de Melo, L. Akoglu, C. Faloutsos, A.A.F. Loureiro
• “Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms” by B.A. Prakash, H. Ton, N. Valler, M. Faloutsos, C. Faloutsos

The last four picks were, unsurprisingly, from the social-networks session.

Best Paper Awards

• “Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings” by J. Weston, S. Bengio, N. Usunier
• “Accelerating Spectral Clustering with Partial Supervision” by D. Mavroeidis
• “A Geometric View of Conjugate Priors” by A. Agarwal and H. Daume III
• “A Game-Theoretic Framework to Identify Overlapping Communities in Social Networks” by W. Chen, Z. Liu, X. Sun, and Y. Wang

Workshops, with some picks:

Analysis of Complex Networks

Mining Ubiquitous and Social Environments

• “Towards Adjusting Mobile Devices to User’;s Behaviours” F. Jungermann, K. Morik, N. Piatkowski, O. Spinczyk, M. Stolpe, P. Fricke
• “Discovering Trend-Based Clusters in Spatially Distributed Data Streams” by A. Ciampi, A. Appice, D. Malerba

Supervised and Unsupervised Ensemble Methods and their Applications

Preference Learning

• “Semantic-Based Destination Suggestion in Intelligent Tourism Information Systems” by M. Ceci, A. Appice, D. Malerba

Handling Concept Drift in Adaptive Information Systems: Importance, Challenges, Solutions

Third Generation Data Mining: Towards Service-Oriented Knowledge Discovery

Privacy and Security Issues in Data Mining and Machine Learning

• “Content Based Filtering in On-line Social Networks” M. Vanetti, E. Binaghi, B. Carminati, M. Carullo, E. Ferrari

Dynamic Networks and Knowledge Discovery

• “Stream Based Community Discovery via Relational Hypergraph Factorization on Evolving Networks” by C. Bockermann and F. Jungermann
• “Collaboration Based Social Tag Prediction in the Graph of Annotated Web Pages” by H. Rahmani, B. Nobakht, H. Blockeel
• “Automatic Sentiment Monitoring of Specific Topics in the Blogosphere” by F.S. Pimenta, D. Obradovi, R. Schirru, S. Baumann, A. Dengel

Detection and Identification of Rare Audiovisual Cues

• “Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation” by I. Almajai, F. Yan, T. de Campos, A. Khan, W. Christmas, D. Windridge, J. Kittler