These can be reinstituted in the camera-ready copy once the paper is accepted for publication.
The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible.
o Data mining for modelling, visualization, personalization, and recommendation.
o Data mining for cyber-physical systems and complex, time-evolving networks.
It does not suffice to simply remove the author names and affiliations from the first page, but also in the content of each paper submission.
How to prepare your submissions ============== The authors shall omit their names from the submission.
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their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper.
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.