Machine Learning and Knowledge Extraction Events
27–30 August 2018 International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE)
CD stands for Cross-Domain and means the integration and appraisal of different fields and application domains (e.g. Health, Industry 4.0, AAL, Automotive Engineering etc.) to provide an atmosphere to foster different perspectives and opinions. The conference is dedicated to offer an international platform without any boundaries for novel ideas and a fresh look on the methodologies to put crazy ideas into Business for the benefit of the human. Serendipity is a desired effect, and shall cross-fertilize methodologies and transfer of algorithmic developments.
MAKE stands for MAchine Learning & Knowledge Extraction.
CD-MAKE is a joint effort of IFIP TC 5, IFIP WG 8.4, IFIP WG 8.9 and IFIP WG 12.9 and is held in conjunction with the International Conference on Availability, Reliability and Security (ARES). Keynote Speakers are Neil D. LAWRENCE (Amazon) and Marta MILO (University of Sheffield).
IFIP is the International Federation for Information Processing and the leading multi-national, non-governmental, apolitical organization in Information & Communications Technologies and Computer Sciences, is recognized by the United Nations and was established in the year 1960 under the auspices of the UNESCO as an outcome of the first World Computer Congress held in Paris in 1959.
Papers are sought from the following seven topical areas. Papers which deal with fundamental questions and theoretical aspects in machine learning are very welcome.
1) DATA – Data science (data fusion, preprocessing, mapping, knowledge representation),
2) LEARNING – Machine learning algorithms,
3) VISUALIZATION – and visual analytics
4) PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML
5) NETWORK – graphical models, graph-based ML
6) TOPOLOGY – geometrical machine learning, topological data analysis
7) ENTROPY – time and machine learning, entropy-based ML
Paper Submission Deadline: April, 1, 2018
Author Notification: May, 27, 2018
Author Registration (latest): June, 17, 2018
Camera Ready (hard deadline!): June 27, 2018
Conference: August 27 - 30, 2018
2017 Accepted Papers have been published by Springer LNCS.
Outstanding contributions will be invited to special issues of journals (see Website - special sessions).