The official website of the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD). It serves as a hub for professionals, researchers, and students interested in data mining, knowledge discovery, and big data analytics. The site provides access to a wealth of resources including publications, conferences, workshops, and educational materials.
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Information on upcoming and past SIGKDD conferences, including schedules, venues, and registration details.
Access to a wide range of publications including the KDD conference proceedings, newsletters, and the SIGKDD Explorations newsletter.
Resources for learning and teaching data mining and knowledge discovery, including tutorials, course materials, and datasets.
Opportunities to connect with other professionals and researchers in the field through forums, special interest groups, and networking events.
Information on awards, scholarships, and grants available to students and professionals in the field of data mining and knowledge discovery.
A platform for posting and finding job opportunities in data science, machine learning, and related fields.
Details on how to become a member of SIGKDD, including benefits, membership fees, and how to join.
Information on workshops organized by SIGKDD, focusing on specialized topics within data mining and knowledge discovery.
Details on current research challenges and competitions, encouraging innovation and problem-solving in the field.
The latest news, updates, and announcements from SIGKDD and the broader data mining and knowledge discovery community.
To promote the advancement of knowledge discovery and data mining from all types of data stored in computers and networks of computers.
For inquiries, the site provides contact details including email addresses and a contact form for direct communication with the SIGKDD team.
Details on how the site collects, uses, and protects personal information of its users.
Guidelines and rules for using the kdd.org website and its resources.
Information on the site's commitment to accessibility, ensuring that all users, including those with disabilities, can access its resources.
Security headers report is a very important part of user data protection. Learn more about http headers for kdd.org