CFP

Journal Web site: http://www.acm.org/tkdd (available very soon)

Journal Alternative Web site: http://tkdd.cs.uiuc.edu/

Author information: http://tkdd.cs.uiuc.edu/authors.html

Research paper submission Web site: http://mc.manuscriptcentral.com/tkdd

To promote research in this field, ACM Publication Board has decided to launch a new journal, ACM Transactions on Knowledge Discovery from Data (TKDD). The journal will publish high quality research papers in the area of data mining and knowledge discovery, on the principles, algorithms, methods, systems, and applications of knowledge discovery and data mining. It will concentrate on papers that have practical relevance to the construction, evaluation, application and use of knowledge discovery and data mining systems and the infrastructure to support these.

The style of this ACM journal is similar to many other ACM Transactions, such as TODS (Transactions on Database Systems), TOIS (Transactions on Information Systems), and TOIT (Transactions on Internet Technology). The transactions will consist primarily of high-quality regular research contributions. This is an archival journal and it is intended that the papers will have lasting importance and value over time. The journal expects to publish, at steady state, 4-5 papers per issue and 4 issues per year. The first issue of the journal is expected to appear in the first quarter of 2007.

The journal will be managed by an editor-in-chief and an editorial board. The current editorial board members are as follows.

Editor-in-Chief

Jiawei Han University of Illinois at Urbana-Champaign, USA

For editorial board members of ACM TKDD and additional information, see http://www.acm.org/tkdd or http://tkdd.cs.uiuc.edu/

To potential TKDD authors:

You are encouraged to prepare your top-quality research papers for submissions to this new journal. All the submission will be handled electronically by the ACM Manuscript Central.

The Web site of the TKDD submssion is: http://mc.manuscriptcentral.com/tkdd