The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences.

Mission Statement

SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining. SIGKDD will encourage:

• basic research in KDD (through annual research conferences, newsletter and other related activities)
• adoption of "standards" in the market in terms of terminology, evaluation, methodology
• interdisciplinary education among KDD researchers, practitioners, and users

SIGKDD activities include the annual Conference on Knowledge Discovery and Data Mining and the SIGKDD Explorations Newsletter. You can also read about the charter, organization, or the annual SIGKDD awards using the navigation bar on the left.

Membership benefits of joining SIGKDD include: a discount in the KDD conference registration, discounts in SIGKDD partner conferences, subscription to the SIGKDD newsletter, and a chance to make a difference in the KDD field.

Motivation

The field of Knowledge Discovery and Data Mining has grown rapidly in recent years. Massive data sets have driven research, applications, and tool development in business, science, government, and academia. The continued growth in data collection in all of these areas ensures that the fundamental problem which KDD addresses, namely how does one understand and use one's data, will continue to be of critical importance across a large swath of organizations.

The Knowledge Discovery and Data Mining field stands today where the database field stood about 15 years ago. There are over a 100 companies providing data-mining tools and applications, consulting and seminars, and even specialized hardware. The field is in the early adoption phase in the market, and we expect that within about 3-5 years, commercial products and the vendors will start entering the maturation phase. Within the next 10 years, in some form, the technology of data mining and knowledge discovery in data will become an integral part of the client/server enterprise information technology.

Complementing business activities, there is considerable emerging research in the fields of databases, machine learning, applied statistics, visualization, and other fields relevant to data mining and knowledge discovery. This is evidenced by the recent emergence of successful KDD conferences in the US, Europe, and Asia as well as the successful launch in 1997 of the Data Mining and Knowledge Discovery Journal >>.