Data Science Research Conference
An Data Science Research Conference is a research conference on the Data Mining Discipline.
- Context:
- It can (typically) contains Data Science Conference Papers that cover a broad range of topics within data science, including but not limited to machine learning, statistics, big data analytics, and data visualization.
- It can (often) serve as a platform for Data Science Researchers, Data Science Practitioners, and industry experts to share their latest findings, methodologies, and tools in the field of data science.
- It can promote networking among Research Conference Attendees from diverse backgrounds, facilitating collaborations and idea exchanges.
- It can feature keynotes and tutorials by Data Science Experts, providing insights into current trends and future directions.
- It can host sessions on specific Data Science Sub-Disciplines such as Deep Learning, Natural Language Processing, and Ethical AI.
- It can award Data Science Research Contributions with honors for best papers, posters, or presentations.
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- Example(s):
- a KDD Conference, known for its emphasis on knowledge discovery and data mining practices.
- a PAKDD Conference, which focuses on the Asia-Pacific region's advancements in data mining and knowledge discovery.
- a ICDM Conference, an internationally renowned event dedicated to data mining and its applications.
- a ECML-PKDD Conference, offering a European perspective on machine learning and knowledge discovery in databases.
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- Counter-Example(s):
- A Machine Learning Research Conference which primarily focuses on the development of algorithms for learning from data and their theoretical foundations.
- An Applied Statistics Conference which may concentrate on the use of statistical methods in various real-world applications, rather than the broader scope of data science.
- See: Data Mining Discipline, Data Science Conference Paper, Machine Learning, Statistics.