Top Conferences in Data Mining

top conferences by citations are KDD, ICDE, IEEE ICDM, CIKM, and SIAM DM, according to Microsoft Asia Academic Search. Interestingly, the list includes many traditionally database conferences.

---

Microsoft Academic Search is a free academic search engine developed by Microsoft Research Asia, which also serves as a test-bed for our object-level vertical search research.

Among many interesting findings, there is a list of top conferences in Data Mining, ranked by in Domain citations. The top conference is KDD (www.kdd.org). Surprisingly, there are many traditionally database conferences like ICDE and DaWaK among the list.

An interesting measure of conference quality is Citations / Publications. By this measure the highest quality papers were in DMKD - SIGMOD workshop run from 1996 to 2004, followed by KDD and FIMI.

Here is a list of the top 10 conferences:

Num	Conference	Publi cations	In Domain Citations	Citations/ Publication
1	KDD - Knowledge Discovery and Data Mining	4140	10223	2.47
2	ICDE - International Conference on Data Engineering	7028	8370	1.19
3	ICDM - IEEE International Conference on Data Mining	3414	2463	0.72
4	CIKM - International Conference on Information and Knowledge Management	4452	2242	0.50
5	SDM - SIAM International Conference on Data Mining	1432	1256	0.88
6	ECML/PKDD - Principles of Data Mining and Knowledge Discovery	2062	1129	0.55
7	PAKDD - Pacific-Asia Conference on Knowledge Discovery and Data Mining	2526	711	0.28
8	DMKD - Research Issues on Data Mining and Knowledge Discovery , (SIGMOD Workshop, 1996-2004)	212	637	3.00
9	DASFAA - Database Systems for Advanced Applications	2232	364	0.16
10	DaWaK - Data Warehousing and Knowledge Discovery	1010	330	0.33
11	DS - Discovery Science	1060	240	0.23
12	DOLAP - International Workshop on Data Warehousing and OLAP	326	182	0.56
13	DMDW - Design and Management of Data Warehouses	142	145	1.02
14	FIMI - Workshop on Frequent Itemset Mining Implementations	68	154	2.26
15	WSDM - Web Search and Data Mining	224	69	0.31

Here is a full list of data mining conferences, according to Microsoft research.

Comments:

Nicolas Neubauer
nice overview and comparison of size and impact