Topics of Interest ============== Topics of interest include, but are not limited to: o Foundations, algorithms, models and theory of data mining, including big data mining.
o Machine learning and statistical methods for data mining.
It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences.
The conference covers all aspects of data mining, including algorithms, software, systems, and applications.
o Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
o Data mining systems and platforms, and their efficiency, scalability, security and privacy.The submitted files shall be named with care to ensure that author anonymity is not compromised by the file name.For example, do not name your submission “Smith.pdf”, instead give it a name that is descriptive of the title of your paper, such as “ANew Approachto Clustering.pdf” (or a shorter version of the same).The names of authors and referees remain known only to the PC Co-chairs, and the author names are disclosed only after the ranking and acceptance of submissions are finalized.It is imperative that all authors of ICDM submissions conceal their identity and affiliation information in their paper submissions.ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases, 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 advance the state-of-the-art in data mining.o Data mining for modelling, visualization, personalization, and recommendation.o Data mining for cyber-physical systems and complex, time-evolving networks.This can be done either by referring to their prior work in the third person or referencing papers generically.For example, if your name is Smith and you have worked on clustering, instead of saying “We extend our earlier work on distance-based clustering (Smith 2005),” you might say “We extend Smith’s (Smith 2005) earlier work on distance-based clustering.” The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper.