Brief report about the 16th Industrial Conference on Data mining 2016 (ICDM 2016)

In this blog post, I will provide a brief report about the 16th Industrial Conference on Data mining 2016, that I have attended from the 13 to 14 July 2016 in New York, USA.

About the conference
This conference is an established conference in the field of data mining. It is the 16th edition of the conference. The main proceedings are published by Springer, which ensures that the conference proceedings are well-indexed, while the poster proceedings are published by  Ibai solutions.

The proceedings for full papers and posters

The acronym of this conference is ICDM (Industrial Conference on Data Mining). However, it should not be confused with IEEE ICDM (IEEE International Conference on Data Mining).

Acceptance rate

The quality of the papers at this conference has been fine. 33 papers have been accepted and it was said during the conference that the acceptance rate was 33%. It is interesting though that this conference attracts many papers related to industry applications due to the name of the conference. There was some paper presentations from IBM Research and Mitsubishi.

Conference location

In the past, this conference has been held mostly in Germany, as the organizer is German. But this year, it is organized in New York, USA, and more specifically at a hotel in Newark, New Jersey beside New York. It is interesting that the conference is collocated and co-organized with the MLDM conference. Hence, it is possible to spend 9 days in Newark to attend both conferences. About MLDM 2016, you can read my report about this conference here: MLDM 2016.

First day of the conference

The conference is two days (excluding workshops and tutorials which requires additional fees). The first day was scheduled to start at 9:00 and finish at around 18:00.

The conference room

The conference started by an opening ceremony. After the opening ceremony, there was supposed to be a keynote but the keynote speaker could unfortunately not attend the conference due to personal reasons.

Then, there was paper presentations. The main topics of the papers have been applications in medicine, algorithms for itemset mining, applying clustering to analyze data about divers, text mining, prediction of rainfall using deep learning, analyzing GPS traces of truck drivers, and preventing network attacks  in the cloud using classifiers. I presented a paper about high-utility itemset mining and periodic pattern mining.

After the paper presentations, there was a poster session. One of the poster applied data mining in archaeology, which is a quite unusual application of data mining.

The poster session

Finally, there was a banquet at the same hotel. The food was fine. Since, the conference is quite small, there was only three tables of 10 persons. But a small conference also means a more welcoming atmosphere and more proximity between participants, such that it was easy to discuss with everyone.

Second day of the conference

The second day of the conference started at 9:00. It consisted of paper presentations. The topics of the paper have covered topics such as association rules, alarm monitoring, distributed data mining, process mining, diabetes age prediction and data mining to analyse wine ratings.

The second day

Best paper award

One thing that I think is great about this conference is that there is a 500 € prize for the best paper. Not many conferences have a cash prize for the best paper award.  Also, there was three nominated papers for the best paper award, and each nominee got a certificate. As one of my paper got nominated, I got a nice certificate (though I did not receive the best paper award).

Best paper nomination certificate

Conclusion

It was the first time that I have attended this conference. It is a small conference compared to some other conferences. It is not a first tier conference in data mining. But it is still published by Springer. At this conference, I did not met anyone working exactly in my field, but I still had the opportunity to meet some interesting researchers. The MLDM conference that I have also attended after that conference was bigger.

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Philippe Fournier-Viger is a full professor  and the founder of the open-source data mining software SPMF, offering more than 110 data mining algorithms. If you like this blog, you can tweet about it and/or subscribe to my twitter account @philfv to get notified about new posts.