Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
On Two Kinds of Dataset Decomposition. / Emelyanov, Pavel.
Computational Science – ICCS 2018 - 18th International Conference, Proceedings. ed. / Y Shi; H Fu; Y Tian; VV Krzhizhanovskaya; MH Lees; J Dongarra; PMA Sloot. Springer, 2018. p. 171-183 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10861 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - On Two Kinds of Dataset Decomposition
AU - Emelyanov, Pavel
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We consider a Cartesian decomposition of datasets, i.e. finding datasets such that their unordered Cartesian product yields the source set, and some natural generalization of this decomposition. In terms of relational databases, this means reversing the SQL CROSS JOIN and INNER JOIN operators (the last is equipped with a test verifying the equality of a tables attribute to another tables attribute). First we outline a polytime algorithm for computing the Cartesian decomposition. Then we describe a polytime algorithm for computing a generalized decomposition based on the Cartesian decomposition. Some applications and relating problems are discussed.
AB - We consider a Cartesian decomposition of datasets, i.e. finding datasets such that their unordered Cartesian product yields the source set, and some natural generalization of this decomposition. In terms of relational databases, this means reversing the SQL CROSS JOIN and INNER JOIN operators (the last is equipped with a test verifying the equality of a tables attribute to another tables attribute). First we outline a polytime algorithm for computing the Cartesian decomposition. Then we describe a polytime algorithm for computing a generalized decomposition based on the Cartesian decomposition. Some applications and relating problems are discussed.
KW - Compactification
KW - Data analysis
KW - Databases
KW - Decision tables
KW - Decomposition
KW - Functional dependency
KW - Knowledge discovery
KW - Optimization of boolean functions
KW - DISCOVERY
UR - http://www.scopus.com/inward/record.url?scp=85049111156&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93701-4_13
DO - 10.1007/978-3-319-93701-4_13
M3 - Conference contribution
AN - SCOPUS:85049111156
SN - 9783319937007
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 171
EP - 183
BT - Computational Science – ICCS 2018 - 18th International Conference, Proceedings
A2 - Shi, Y
A2 - Fu, H
A2 - Tian, Y
A2 - Krzhizhanovskaya, VV
A2 - Lees, MH
A2 - Dongarra, J
A2 - Sloot, PMA
PB - Springer
T2 - 18th International Conference on Computational Science, ICCS 2018
Y2 - 11 June 2018 through 13 June 2018
ER -
ID: 14278938