Conferences and Meetings on Search Engines and Data Mining
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SDM20 — SIAM International Conference on Data Mining
07 May 2020 - 09 May 2020 • Cincinnati, Ohio, United States
Data mining is the computational process for discovering valuable knowledge from data - the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.
ACM ICMR 2020 — ACM International Conference on Multimedia Retrieval
09 Jun 2020 - 11 Jun 2020 • Dublin, Ireland
ACM ICMR was created in 2011 from the merger of the ACM CIVR (International Conference on Image and Video Retrieval) and ACM MIR (International Conference on Multimedia Information Retrieval).
EDM 2020 — 13th International Conference on Educational Data Mining
10 Jul 2020 - 13 Jul 2020 • Ifrane, Morocco
Educational Data Mining is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from a variety of learning contexts, including learning and information management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. Educational data mining considers a wide variety of types of data, including but not limited to raw log files, student-produced artifacts, discourse, and multimodal streams such as eye-tracking and other sensor data. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.
Improving Learning Outcomes for All Learners
CDKP 2020 — 9th International Conference on Data Mining & Knowledge Management Process
11 Jul 2020 - 12 Jul 2020 • Toronto, Canada
9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Data Mining & Knowledge Management Process
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Data Mining Applications Parallel and Distributed Data Mining Algorithms Data Streams Mining Graph Mining Spatial Data Mining Text Video Multimedia Data Mining Web Mining Pre-processing Techniques Visualization Security and Information Hiding in Data Mining Data Mining Foundations Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting Classification Clustering Social Networks Educational Data Mining Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process including pre- and post-processing Integration of Data Warehousing OLAP and Data Mining Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Inference of Causes Prediction Evaluating Consolidating, and Explaining Discovered Knowledge Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration/Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends Opportunities and Risks Mining from Low-quality Information Sources
SIGKDD — ACM SIGKDD International Conference on Knowledge discovery and data mining
22 Aug 2020 - 27 Aug 2020 • San Diego, United States
Association of Computing Machinery (acm)
SBSE 2020 — 12th Symposium on Search-Based Software Engineering
07 Oct 2020 - 08 Oct 2020 • Bari, Italy
Search-based Software Engineering (SBSE) is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges – from test generation, to design refactoring, to process organization – can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field – sitting at the crossroads between AI, machine learning, and software engineering – and SBSE techniques have begun to attain human-competitive results. The Symposium on Search-Based Software Engineering is a venue dedicated to the SBSE research field. The 12th symposium will be held this year in Bari, Italy, co-located with the Empirical Software Engineering International Week (ESEIW 2020).
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Last updated: 09 January 2020