posted by user: MDDM || 5620 views || tracked by 4 users: [display]

MDDM 2016 : 1st International Workshop on Maritime Domain Data Mining at ICDM 2016


When Dec 12, 2016 - Dec 12, 2016
Where Barcelona
Submission Deadline Aug 26, 2016
Notification Due Sep 13, 2016
Final Version Due Sep 20, 2016
Categories    data mining   machine learning   maritime surveillance   big data

Call For Papers

The maritime domain is nowadays essential to the world’s economy because the sea represents the most effective way to move goods worldwide. In addition, thousands of vessels cross global waters every month involving the transportation of human beings. As some vessels may be engaged in illegal, illicit or dangerous activities, maritime transport and port safety and security have become a major concern.
The growing number of remote sensors and ship reporting technologies (e.g. Automatic Identification System – AIS, Long Range Identification and Tracking (LRIT), radar tracks, Earth Observation) are generating an overwhelming amount of spatiotemporal and geographically distributed data related to vessels and their movements. Research on reliable data mining techniques has proven essential to the discovery of knowledge from such increasingly available information on ship traffic at sea. This includes the characterisation of vessel behaviours, the understanding and mapping of activities at sea, the analysis of their trends over time. Data driven knowledge discovery has very recently demonstrated its value in fields that go beyond the original maritime safety and security remits of such data. They include, but are not limited to, fisheries management, maritime spatial planning, gridding ship emissions, mapping activities at sea, risk assessment of offshore platforms, trade indicators. The extraction of useful information from maritime Big Data is thus a key element in providing operational authorities, policy-makers and scientists with supporting tools to understand what is happening at sea and improve maritime knowledge.
The first MDDM Workshop aims at gathering scientists, researchers and practitioners to establish a venue where exchange ideas, discuss solutions, promote collaborations to exploit such unprecedented opportunities for data mining and machine learning cross-disciplinary research.
The workshop is co-located with the IEEE International Conference on Data Mining (ICDM 2016) and will be held on December 12th, 2016, in Barcelona, Spain.

We encourage submissions of papers using data mining techniques to address challenging issues related to the maritime domain. In particular, contributions are sought on a variety of topics, including but not limited to:
Theoretical foundations of spatial and spatiotemporal data mining;
Maritime Domain driven data mining algorithms
Knowledge discovery, route extraction, maritime flows and networks;
Data mining-based Anomaly detection;
Spatiotemporal Big Data Mining and Retrieval;
Spatiotemporal data mining techniques for Maritime Big data;
Emerging Data Mining applications for safety and security;
Machine Learning.

Paper submissions should be limited to a maximum of 8 pages in the standard IEEE-2 column format (, including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at
Please submit your manuscript in PDF format through the MDDM 2016 submission system before the end of the deadline. We do not accept email submissions.

Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Therefore, papers submitted to MDDM 2016 workshop must not have been accepted for publication elsewhere or be under review for another workshop, conference or journal.

At least one author of each accepted paper must complete a regular paid registration and present the paper at the workshop, in order for the paper to be included in the proceedings and workshop program.

Related Resources

pehealth 2016   The 1st Pacific Rim International Workshop on eHealth Mining (PeHealth)
ICML 2017   34th International Conference on Machine Learning
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ICDM 2016   The IEEE International Conference on Data Mining
IJCAI 2017   International Joint Conference on Artificial Intelligence
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
CCML 2017   The 16th China Conference on Machine Learning