The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels.

The General Chairs of the conference are Ricardo Baeza-Yates (NTENT & DTIC-UPF) and Zhi-Hua Zhou (Nanjing University). Staff at DTIC-UPF are additionally involved, such as Ana Freire (Social Media and Web Chair and Publicity Chair), and with students as volunteers in the organization.

The Keynote Talks will be given by Yoshua Bengio (Deep Learning), Elisa Bertino (Big Data - Security and Privacy) and Rakesh Agrawal (Big Data or Big Garbage? A Tale of a Research Journey for Real-Time Business Intelligence). In parallel to ICDM, Rakesh Agrawal will give the lecture "Data-driven Design of Study Plans" at DTIC-UPF on December 15th, 16h (free entry to anybody interested, Poble Nou Campus Auditorium).

Elisa Bertino, member of DTIC-UPF International Advisory Board, participated in the Annual Event of the María de Maeztu Strategic Research Program (see the video here).