Tell me more ×
Cross Validated is a question and answer site for statisticians, data analysts, data miners and data visualization experts. It's 100% free, no registration required.
up vote 7 down vote favorite
3

What are the most significant annual Data Mining conferences?

Rules:

  1. One conference per answer
  2. Include a link to the conference
share|improve this question
1  
I downvoted this because it encourages uninformative one-line answers, leading merely to a collection of links with little additional value. If respondents were to explain, even briefly, why their proposed conferences were "significant," this thread would have tremendously greater value. – whuber♦ Nov 17 '11 at 15:47
Plus, it is completely redundant to the known rankings of such conferences. For example Microsoft Academic: academic.research.microsoft.com/… – Anony-Mousse Dec 6 '11 at 9:06
Oh, and third, people here probably don't make the distinction between machine-learning, artificial intelligence and data mining (which does include data management aspects and only uses ML and AI). Just because it's popular to call ML also "data mining" doesn't make this sensible. – Anony-Mousse Dec 6 '11 at 9:07

13 Answers

up vote 7 down vote

KDD (ACM Special Interest Group on Knowledge Discovery and Data Mining)

share|improve this answer
up vote 5 down vote

NIPS: http://nips.cc/

share|improve this answer
2  
I don't think NIPS is a really a data mining conference, it is a machine learning and (decreasingly) computational neuroscience conference. – Dikran Marsupial Dec 15 '10 at 14:42
up vote 2 down vote

Salford Analytics and Data Mining Conference 2012 http://www.salforddatamining.com/index.php

share|improve this answer
up vote 2 down vote

Strata Conference:

Strata Conference is for developers, data scientists, data analysts, and other data professionals.

Strata Conference covers the latest and best tools and technologies for this new discipline, along the entire data supply chain—from gathering, cleaning, analyzing, and storing data to communicating data intelligence effectively. With hardcore technical sessions, case studies, and provocative reports from the leading edge, Strata Conference showcases the people, tools, and technologies that make big data work.

Not sure I'd quite classify Strata as "data mining" (perhaps "how to use data in the industry", instead), but data mining is certainly a part of it.

share|improve this answer
+1 for two reasons: first, it is the only reply (so far) to explain the merits of its nomination, and second, despite the barrage of vague business-speak in the blurb ("data supply chain," "data intelligence," "hardcore," "leading edge"), a look at the conference schedule, the topics, and the presenters reveals the involvement of substantial, serious players from government (NASA, e.g.) as well as industry. It's very top-heavy in presentations from software and services purveyors, though, suggesting an orientation toward marketing commercial solutions. – whuber♦ Nov 17 '11 at 15:52
up vote 2 down vote

IEEE International Conference on Data Mining (ICDM)

share|improve this answer
up vote 1 down vote

M2010 - 13th Annual Data Mining Conference http://www.sas.com/m2010

share|improve this answer
up vote 0 down vote

Industrial Conference on Data Mining IndustrialDM

share|improve this answer
up vote 0 down vote

CIKM, the ACM Conference on Information and Knowledge Management, brings together information retrieval, information management, web x.0 and data mining.

share|improve this answer
up vote 0 down vote

ICDE, the IEEE International Conference on Data Engineering.

share|improve this answer
up vote 0 down vote

PKDD, Principles of Data Mining and Knowledge Discovery, now known as ECML-PKDD, since it now is always co-located with the "European Conference on Machine-Learning". (btw: machine-learning != data-mining)

share|improve this answer

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.