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ACM Special Interest Group on Knowledge Discovery and Data Mining

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December 2009, Volume 11, Issue 2

Guest Editor Editor-In-Chief Associate Editor
Kai Puolamaki
Helsinki University of Technology, Finland

 Osmar R. Zaiane
University of Alberta, Canada

 Charu Aggarwal
IBM T.J. Watson Research Center
Alessio Bertone
Danube University Krems, Austria

   Bart Goethals
University of Antwerp

Letter from the editor-in-chief
1
Osmar R. Zaiane

Special Issue: on Visual Analytics and Knowledge Discovery

Introduction to the Special Issue on Visual Analytics and Knowledge Discovery
3
Kai Puolamaki, Alessio Bertone
Visual Analytics: How Much Visualization and How Much Analytics?
5
Daniel A. Keim, Florian Mansmann, Jim Thomas
Investigating and Reflecting on the Integration of Automatic Data Analysis and Visualization in Knowledge Discovery
9
Enrico Bertini, Denis Lalanne
Interactive Cluster Analysis of Diverse Types of Spatiotemporal Data
19
Gennady Andrienko, Natalia Andrienko
Visual Analysis of Mixed Data Sets Using Interactive Quantification
29
Sara Johansson, Jimmy Johansson
FpVAT: A Visual Analytic Tool for Supporting Frequent Pattern Mining
39
Carson Kai-Sang Leung, Christopher L. Carmichael
Hierarchical Difference Scatterplots: Interactive Visual Analysis of DataCubes
49
Harald Piringer, Matthias Buchetics, Helwig Hauser, Eduard Groeller

PhD Dissertation Abstracts

Trading Expressivity for Efficiency in Statistical Relational Learning
59
Niels Landwehr
From Itemsets Through Trajectories to Location Based Services: A Knowledge Hiding Privacy Approach
61
Aris Gkoulalas-Divanis

KDD 2009 Reports

Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD09
63
Peter A.Flach, Sebastian Spiegler, Bruno Golenia, Simon Price, John Guiver, Ralf Herbrich, Thone Graepel, Mohammed J. Zaki
Design and Analysis of the KDDCup2009: Fast Scoring on a Large Orange Customer Database
68
Isabelle Guyon, Vincent Lemaire, Marc Boulle, Gideon Dror, David Vogel
Workshop Report DMMT09: Data Mining Using Matrices and Tensors
77
Chris Ding, Tao Li
A report on the Human Computation Workshop (HComp 2009)
80
Panagiotis G. Ipeirotis, Raman Chandrasekar, Paul Bennett, Edith Law, Max Chickering, Anton Mityagin, Foster Provost and Luis von Ahn
Knowledge Discovery from Sensor Data (SensorKDD)
84
Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber
StReBio09: Statistical Relational Learning and Mining in Bioinformatics
88
Jan Ramon, Fabrizio Costa, Christophe Costa Florencio
Summary of the First ACMSIGKDD Workshop on Knowledge Discovery from Uncertain Data(U09)
90
Jian Pei, Lise Getoor, Ander de Keijzer

Selected Articles from KDD09 Workshops

Online Phishing Classification Using Adversarial Data Mining and Signaling Games
92
Gaston L'Huillier, Richard Weber, Nicolas Figueroa
Financial Incentives and the "Performance of Crowds"
100
Winter Mason, Duncan J. Watts
Online Mass Flow Prediction in CFB Boilers with Explicit Detection of Sudden Concept Drift
109
M. Pechenizkiy, J. Bakker, I. Zliobaite, A. Ivannikov, T.Karkkainen
Multi-Class Protein Fold Recognition using Large Margin Logic based Divide and Conquer Learning
117
Huma Lodhi, Stephen Muggleton, Mike J.E. Sternberg
Efficient Algorithms for the Mining of Constrained Frequent Patterns from Uncertain Data
123
Carson Kai-Sang Leung, Dale A. Brajczuk