Publications

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

Knowledge discovery and data mining (KDD) has become a dynamic, strong and interdisciplinary research field, representing the confluence of statistical data analysis, machine learning, database systems, data warehousing, scalable algorithms, high-performance computing, and various data-intensive applications. The field promotes the research and development of effective and scalable methods for discovery of interesting patterns and knowledge from data, and has attracted great attention in research communities, high-tech industry, application users, and the general public. The rapid development of the field has been due to the tremendous increase in the amount of data collected with the advent of World-Wide Web and the concomitant developments in computer, data collection, and information management technologies, and the imminent need to analyze such data and turn it into knowledge.

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

Editorial board members of ACM TKDD

• Rakesh Agrawal, IBM Almaden Research Center, USA
• Kristin Bennett, Rensselaer Polytechnic Institute, USA
• Saso Dzeroski, Jozef Stefan Institute, Slovenia
• Christos Faloutsos, Carnegie-Mellon University, USA
• Johannes Gehrke, Cornell University, USA
• Dimitrios Gunopulos, University of California at Riverside, USA
• Hans-Peter Kriegel, University of Munich, Germany
• Wei-Yin Loh, University of Wisconsin at Madison, USA
• Heikki Mannila, Helsinki University of Technology, Finland
• Rajeev Motwani, Stanford University, USA
• Gregory Piatetsky-Shapiro, KDNuggets, USA
• Sunita Sarawagi, Indian Institute of Technology-Bombay, India
• Jude W. Shavlik, University of Wisconsin at Madison, USA
• Wei Wang, University of North Carolina at Chapel Hill, USA
• Geoff Webb, Monash University, Australia
• Philip S. Yu, IBM T.J. Watson Research Center, USA

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 will be

http://mc.manuscriptcentral.com/tkdd

The TKDD Manuscript Central is still under construction and testing, and it will start taking new submissions in about one month. We will send out a new Call for Papers, with the detailed submission procedures, by that time.