This volume contains papers presented at The 2013 International Conference on Data Mining (DMINâ€™13).
Data mining is a relatively young discipline that is critically important if we want to effectively learn from the tremendous amounts of data that are routinely being generated in science, engineering, medicine, business, and other areas. Data mining attracts innovative and influential contributions to both research and practice, across a wide range of academic disciplines and application domains. DMIN conferences seek to acknowledge and facilitate excellence in research and applications in the area of data mining. DMIN conferences are held annually within WORLDCOMP, the largest annual gathering of researchers in computer science, computer engineering and applied computing. WORLDCOMP'13 assembles a spectrum of 22 affiliated research conferences, workshops, and symposiums into a coordinated research meeting.
Each conference has its own program committee as well as referees and own indexed proceedings. Attendees have full access to all 22 conferences' sessions, tracks, and tutorials.DMIN seeks to reflect the multi- and interdisciplinary nature of data mining and to facilitate the exchange and development of novel ideas, open communication and networking amongst researchers and practitioners in different research domains. As in 2012 and the years before, we hope that the 2013 International Conference on Data Mining will provide a forum for you to present your research in a professional environment, exchange ideas, and network and interact across research areas. DMIN actively supports students and beginning researchers from lesser developed countries by funding registration and accommodation, in order to allow for a truly
international networking and understanding. The 2013 conference has provided an international and multicultural experience with contributions from 26 different countries.