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25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage 2019
KDD 2019, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data ...
23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017
KDD 2017, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data ...
24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London 2018
KDD 2018, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data ...
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016
KDD 2016, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data ...
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014
KDD 2014, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data ...
19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Chicago 2013
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and ...
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and ...
15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Paris 2009
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and ...
The ACM SIGKDD Conference Series - International Conference on Knowledge Discovery & Data Mining
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 >>.