| 3 | -- | 4 | Kai Puolamäki, Alessio Bertone. Introduction to the special issue on visual analytics and knowledge discovery |
| 5 | -- | 8 | Daniel A. Keim, Florian Mansmann, Jim Thomas. Visual analytics: how much visualization and how much analytics? |
| 9 | -- | 18 | Enrico Bertini, Denis Lalanne. Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery |
| 19 | -- | 28 | Gennady L. Andrienko, Natalia V. Andrienko. Interactive cluster analysis of diverse types of spatiotemporal data |
| 29 | -- | 38 | Sara Johansson, Jimmy Johansson. Visual analysis of mixed data sets using interactive quantification |
| 39 | -- | 48 | Carson Kai-Sang Leung, Christopher L. Carmichael. FpVAT: a visual analytic tool for supporting frequent pattern mining |
| 49 | -- | 58 | Harald Piringer, Matthias Buchetics, Helwig Hauser, Eduard Gröller. Hierarchical difference scatterplots: interactive visual analysis of data cubes |
| 59 | -- | 60 | Niels Landwehr. Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract |
| 61 | -- | 62 | Aris Gkoulalas-Divanis. From itemsets through trajectories to location based services: a knowledge hiding privacy approach |
| 63 | -- | 67 | Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki. Novel tools to streamline the conference review process: experiences from SIGKDD 09 |
| 68 | -- | 76 | Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel. Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database |
| 77 | -- | 79 | Chris H. Q. Ding, Tao Li. KDD2009 workshop report DMMT 09: data mining using matrices and tensors |
| 80 | -- | 83 | Panagiotis G. Ipeirotis, Raman Chandrasekar, Paul N. Bennett. A report on the human computation workshop (HComp 2009) |
| 84 | -- | 87 | Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber. Knowledge discovery from sensor data (SensorKDD) |
| 88 | -- | 89 | Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok. StReBio 09: statistical relational learning and mining in bioinformatics |
| 90 | -- | 91 | Jian Pei, Lise Getoor, Ander de Keijzer. Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U 09) |
| 92 | -- | 99 | Gaston L Huillier, Richard Weber, Nicolas Figueroa. Online phishing classification using adversarial data mining and signaling games |
| 100 | -- | 108 | Winter A. Mason, Duncan J. Watts. Financial incentives and the performance of crowds |
| 109 | -- | 116 | Mykola Pechenizkiy, Jorn Bakker, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen. Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift |
| 117 | -- | 122 | Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg. Multi-Class protein fold recognition using large margin logic based divide and conquer learning |
| 123 | -- | 130 | Carson Kai-Sang Leung, Dale A. Brajczuk. Efficient algorithms for the mining of constrained frequent patterns from uncertain data |