SIGKDD (ACM SIGKDD)
Business Profile
Core Value Proposition
SIGKDD (ACM SIGKDD) provides the premier forum for knowledge discovery in data mining, data science and analytics, including memberships, publications, and the annual KDD conference.
Target Customer
Researchers and practitioners in data mining and analytics from academia, industry, and government; students; professionals seeking conferences, publications, and community engagement.
Key Differentiator
The community is described as the premier international forum for data mining researchers and practitioners, backed by ACM, with a long-standing, multidisciplinary ecosystem that includes conferences, publications, local chapters, and standards adoption.
Implementation Timeline
Value can be realized immediately upon membership registration and conference participation; ongoing benefits throughout the year, including annual KDD conferences and related events.
Pain Points
- 1Need for standardized terminology, evaluation, and methodology in the field of KDD
- 2Interdisciplinary education and knowledge transfer among researchers, practitioners, and users
- 3A central, authoritative venue for sharing research results, networking, and disseminating standards in KDD
Key Features
- 1Membership benefits including discounts to KDD and partner conferences
- 2Subscription to SIGKDD Explorations publication
- 3Access to a global community with local SIGKDD chapters
- 4Annual KDD conference and KDD Cup competitions
- 5Calls for proposals and opportunities to participate in standards and education initiatives
Target Customer Industries
Client Results
- 1Access to premier conferences and publications in knowledge discovery and data mining
- 2Networking opportunities with researchers, practitioners, and government professionals
- 3Recognition through SIGKDD awards and opportunities to publish in SIGKDD publications
Competitive Advantages
- 1Established, global community affiliated with ACM
- 2Multidisciplinary focus spanning academia, industry, and government
- 3Diverse offerings including conferences, publications, local chapters, and awards
- 4Discounts and access to partner conferences and resources
Key Benefits
Additional Product Information
Product Description
The ACM SIGKDD Special Interest Group on Knowledge Discovery and Data Mining; a community for data mining, data science and analytics that promotes research, standards, education, and adoption of KDD practices; hosts the annual KDD conference and related publications.
Target Market
Researchers, practitioners, students, and organizations in data mining, data science, and analytics; universities, enterprises, and government agencies participating in or sponsoring KDD activities.
Unique Value Proposition
A long-standing, ACM-affiliated community that combines a premier conference, publications, local chapters, and standards-driven education to accelerate the maturation and adoption of knowledge discovery in data mining.
Technical Requirements
Not specified in the content; primarily an association and conference/publication ecosystem rather than a software/product.
Pricing Model
Pricing details not disclosed in the content; membership benefits include discounts to conferences and publications.
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