Call for paper 〔OPEN〕

My submissions

Registration 〔OPEN〕

My tickets

〔CLOSED〕
Introduction
Data mining is an important tool in science, engineering, industrial processes, healthcare, business, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high performance and principled analysis techniques and algorithms, based on sound theoretical and statistical foundations. These techniques in turn require implementations that are carefully tuned for performance; powerful visualization technologies; interface systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them. This conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students and others new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending presentations and tutorials (included with conference registration). A set of focused workshops are also held on the last day of the conference. The proceedings of the conference arepublished in archival form, and are also made available on the SIAM web site.
Call for paper

Submission Topics

Themes Methods and Algorithms · Classification · Clustering · Frequent Pattern Mining · Probabilistic & Statistical Methods · Spatial & Temporal Mining · Data Stream Mining · Abnormality & Outlier Detection
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    May 02

    2013

    to

    May 04

    2013

  • May 04 2013

    Registration deadline

Sponsored By
美国工业与应用数学学会
Previous Conferences