Probabilistic Approach to Association Rules in Incomplete Databases
AbstractIn 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.
|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 English||Artificial Intelligence (incl. Robotics), Business Information Systems, Database Management, Information Storage and Retrieval, Information Systems Applications (incl.Internet)|
|Publication indicators||= 3; = 18.0|
|Citation count*||18 (2020-09-06)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.