Probabilistic Approach to Association Rules in Incomplete Databases

Marzena Kryszkiewicz

Abstract

In the paper we list a set of properties that characterize a legitimate approach to data incompleteness. An example of a legitimate probabilistic approach, which is based on attribute distribution, is presented. We also review and compare three other approaches to incompleteness: the one that ignores missing values, the approach applying only certain information, and the approach based on valid databases. All the three approaches turn out to be invalid.
Author Marzena Kryszkiewicz (FEIT / IN)
Marzena Kryszkiewicz,,
- The Institute of Computer Science
Pages133-138
Book Lu Hongjun , Zhou Aoying (eds.): Web-Age Information Management, Lecture Notes In Computer Science, vol. LNCS 1846, 2000, Springer, ISBN 3-540-67627-9, 462 p., DOI:10.1007/3-540-45151-X
Keywords in EnglishArtificial Intelligence (incl. Robotics), Business Information Systems, Database Management, Information Storage and Retrieval, Information Systems Applications (incl.Internet)
DOIDOI:10.1007/3-540-45151-X_12
URL http://link.springer.com/chapter/10.1007/3-540-45151-X_12
Languageen angielski
Score (nominal)3
Publication indicators WoS Citations = 3; GS Citations = 18.0
Citation count*18 (2020-09-06)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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