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On the treatment of imperfect information in intelligent databases.

, , and . KES (3), page 168-176. IEEE, (1998)

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A Prototype System for Rule Generation in Lipski's Incomplete Information Databases., , and . RSFDGrC, volume 6743 of Lecture Notes in Computer Science, page 175-182. Springer, (2011)A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets., , and . ICDM Workshops, page 446-453. IEEE, (2018)Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion., and . MDAI, volume 3558 of Lecture Notes in Computer Science, page 227-239. Springer, (2005)Functional Dependencies in Relational Expressions Based on Or-Sets., and . Rough Sets and Current Trends in Computing, volume 2475 of Lecture Notes in Computer Science, page 161-166. Springer, (2002)Rule Generation in Lipski's Incomplete Information Databases., , and . RSCTC, volume 6086 of Lecture Notes in Computer Science, page 376-385. Springer, (2010)The Lower and the Upper Systems of Rules in Tables with Missing Values., , and . FGIT-DTA/BSBT, volume 118 of Communications in Computer and Information Science, page 132-141. Springer, (2010)Rough Sets under Non-deterministic Information., and . RSKT, volume 5589 of Lecture Notes in Computer Science, page 76-85. Springer, (2009)On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2., , , and . RSFDGrC, volume 4482 of Lecture Notes in Computer Science, page 280-288. Springer, (2007)Rough Set-Based Information Dilution by Non-deterministic Information., , , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 55-66. Springer, (2013)Granules for association rules and decision support in the getRNIA system., , , and . Intell. Decis. Technol., 9 (4): 309-320 (2015)