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Course: Data Mining - Unsupervised Techniques event

  • Date: 11 October 2013
  • Location:

Aim of Course: Data mining, the art and science of learning from data, covers a number of different procedures. This course covers key unsupervised learning techniques: association rules, principal...

International Conference on Mass Data Analysis of Images and Signals event

  • Date: 13 July - 16 July 2013
  • Location: New York, USA

ISBIS 2014 and SLDM Meeting on Data Mining in Business and Industry event

  • Date: 09 June - 11 June 2014
  • Location: Durham, NC, USA

The conference concerns data mining and the use of statistics in business and industry. Many, but not all, of the sessions will combine both themes.

Funtional and Complex Structure Data Analysis - 14th Course in the ECAS Programme event

  • Date: 17 September - 21 September 2013
  • Location: Castro Urdiales, Spain

The European Courses in Advanced Statistics (ECAS) are intended to achieve postgraduate training in special areas of statistics for both researchers and teachers at universities. Professionals working...

Second International Conference on Statistics 2015 event

  • Date: 02 January - 04 January 2015
  • Location: Dhaka, Bangladesh

Dhaka University Statistics Department Alumni Association (DUSDAA) welcomes you to attend the Second International Conference on Statistics 2015.

Course on Data Mining: R event

  • Date: 11 January 2013
  • Location:

Please note this is a 4 week course ending on 8th February 2013. Course tutor: Luis Torgo

DATA 2014: 3rd International Conference on Data Management Technologies and Applications event

  • Date: 29 August - 31 August 2014
  • Location: Vienna University of Technology, Vienna, Austria

DATA 2014 will be held in conjunction with ICETE 2014, ICSOFT 2014 and SIMULTECH 2014. Upcoming Deadlines Regular Paper Submission: March 18, 2014 Regular Paper Authors Notification: June 12,...

Computational Methods for Massive/Complex Data Workshop event

  • Date: 19 June - 20 June 2014
  • Location: Imperial College, London, UK

The objective of the two-day workshop is to bring together experts on state-of-the-art data analysis (data mining/machine learning/[bio]statistics) of large-scale data sets, computer scientists who...

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.