Similarities between Association for Computing Machinery and Data mining
Association for Computing Machinery and Data mining have 5 things in common (in Unionpedia): Computer science, Conference on Information and Knowledge Management, Open access, SIGKDD, SIGMOD.
Computer science
Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.
Association for Computing Machinery and Computer science · Computer science and Data mining ·
Conference on Information and Knowledge Management
The ACM Conference on Information and Knowledge Management (CIKM, pronounced) is an annual computer science research conference dedicated to information management (IM) and knowledge management (KM).
Association for Computing Machinery and Conference on Information and Knowledge Management · Conference on Information and Knowledge Management and Data mining ·
Open access
Open access (OA) refers to research outputs which are distributed online and free of cost or other barriers, and possibly with the addition of a Creative Commons license to promote reuse.
Association for Computing Machinery and Open access · Data mining and Open access ·
SIGKDD
SIGKDD is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining.
Association for Computing Machinery and SIGKDD · Data mining and SIGKDD ·
SIGMOD
SIGMOD is the Association for Computing Machinery's Special Interest Group on Management of Data, which specializes in large-scale data management problems and databases.
Association for Computing Machinery and SIGMOD · Data mining and SIGMOD ·
The list above answers the following questions
- What Association for Computing Machinery and Data mining have in common
- What are the similarities between Association for Computing Machinery and Data mining
Association for Computing Machinery and Data mining Comparison
Association for Computing Machinery has 138 relations, while Data mining has 187. As they have in common 5, the Jaccard index is 1.54% = 5 / (138 + 187).
References
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