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Proceedings of the 2021 International Conference on Management of Data by Ma, Pingchuan (author);Ding, Rui (author);Han, Shi (author);Zhang, Dongmei (author) is a nonfiction available to read on EtoBox.

What is Proceedings of the 2021 International Conference on Management of Data about?

Automatic Exploratory Data Analysis (EDA) focuses on automatically discovering pieces of knowledge in the form of interesting data patterns. However, the knowledge conveyed by these suggested data patterns is disjointed or lacks of organization. Therefore, it is difficult for users to gain structured knowledge. As the number of suggested patterns grows, these stand-alone patterns are less likely to motivate users to conduct follow-up analysis, which hinders the suggested patterns from being effectively utilized to facilitate EDA. In this paper, we propose MetaInsight, a structured representation of knowledge extracted from multi-dimensional data, which aims to facilitate EDA effectively. Specifically, we propose a novel formulation of basic data patterns to capture essential characteristics of the raw data distribution to achieve knowledge extraction. Then, based on the mined homogeneous data patterns (HDPs) and inter-pattern similarity, MetaInsights are identified by categorizing basic data patterns (within an HDP) into commonness(es) and exceptions, thus achieving structured knowledge representation. The commonness(es) and exceptions concretize knowledge obtained by the induction

Who reads Proceedings of the 2021 International Conference on Management of Data?

Author

Ma, Pingchuan (author);Ding, Rui (author);Han, Shi (author);Zhang, Dongmei (author)

Publisher

ACM

Published

2021

Language

EN

Category

nonfiction