View towards Riva del Garda from Pregasina. A running route.

This week I attended ECML-PKDD 2016, the premier European machine learning and data mining conference, together with Andreas Henelius, Jussi Korpela, and Antti Ukkonen from FIOH. We had four papers in the conference, two of them in the conference track, one in the demo track, and one in the DAMI journal:

  1. Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie. Interactive Visual Data Exploration with Subjective Feedback. ECML PKDD 2016, Part II, LNCS 9852, pp. 214-229, 2016. [slides, poster]
  2. Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie. A Tool for Subjective and Interactive Visual Data Exploration. ECML PKDD 2016, Part III, LNCS 9853, pp. 3-7, 2016. [demo]
  3. Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, and Kai Puolamäki. Semigeometric Tiling of Event Sequences. ECML PKDD 2016, Part I, LNCS 9851, pp. 329-344, 2016.
  4. Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki. Using regression makes extraction of shared variation in multiple datasets easy. Data Mining and Knowledge Discovery, 30(5): 1112-1133, 2016.

Kai's plenary talk. Bo presenting our demo.

Puolamäki et al. was presented in the plenary track by me, Kang et al. - poster spotlight - by Bo, Henelius et al. by Andreas, and Korpela et al. by Jussi. I can’t judge my own presentation, but at least the presentations of Bo, Andreas, and Jussi were excellent. Also, the papers received nice interest and attention at the poster session and in other discussions. Overall, I am quite happy with the event.

Kai with the poster of Puolamäki et al. Kai at sunrise in Pregasina. Self portrait.

The conference took place in a scenic Italian village of Riva del Garda, which has good opportunities for running as well. Pursuant to my employer’s recommendations and as a counterbalance to the hectic conference week, I covered a total of 52 kilometers in the surrounding countryside in the mornings before the breakfast, after the morning twilight. :)