Let A be an m × n binary matrix, t ∈,1,… ,m be a threshold, and ε > 0 be a positive parameter. We show that given a family of O(nε) maximal t-frequent column sets for A, it is NP-complete to decide whether A has any further maximal t-frequent sets, or not, even when the number of such additional maximal t-frequent column sets may be exponentially large. In contrast, all minimal t-infrequent sets of columns of A can be enumerated in incremental quasi-polynomial time. The proof of the latter result follows
from the inequality α ≤ (m-t+1)β, where α and β are respectively the numbers of all maximal t-frequent and all minimal t-infrequent sets of columns of the matrix A. We also discuss the complexity of generating all closed t-frequent column sets for a given binary matrix.
%0 Journal Article
%1 keyhere
%A Boros, E.
%A Gurvich, V.
%A Khachiyan, L.
%A Makino, K.
%D 2002
%J STACS 2002
%K complexity frequentSetMining listing seminar
%P 733--733
%T On the Complexity of Generating Maximal Frequent and Minimal Infrequent Sets
%U http://dx.doi.org/10.1007/3-540-45841-7_10
%X Let A be an m × n binary matrix, t ∈,1,… ,m be a threshold, and ε > 0 be a positive parameter. We show that given a family of O(nε) maximal t-frequent column sets for A, it is NP-complete to decide whether A has any further maximal t-frequent sets, or not, even when the number of such additional maximal t-frequent column sets may be exponentially large. In contrast, all minimal t-infrequent sets of columns of A can be enumerated in incremental quasi-polynomial time. The proof of the latter result follows
from the inequality α ≤ (m-t+1)β, where α and β are respectively the numbers of all maximal t-frequent and all minimal t-infrequent sets of columns of the matrix A. We also discuss the complexity of generating all closed t-frequent column sets for a given binary matrix.
@article{keyhere,
abstract = {Let A be an m × n binary matrix, t ∈,{1,… ,m} be a threshold, and ε > 0 be a positive parameter. We show that given a family of O(nε) maximal t-frequent column sets for A, it is NP-complete to decide whether A has any further maximal t-frequent sets, or not, even when the number of such additional maximal t-frequent column sets may be exponentially large. In contrast, all minimal t-infrequent sets of columns of A can be enumerated in incremental quasi-polynomial time. The proof of the latter result follows
from the inequality α ≤ (m-t+1)β, where α and β are respectively the numbers of all maximal t-frequent and all minimal t-infrequent sets of columns of the matrix A. We also discuss the complexity of generating all closed t-frequent column sets for a given binary matrix.},
added-at = {2008-06-03T12:22:01.000+0200},
author = {Boros, E. and Gurvich, V. and Khachiyan, L. and Makino, K.},
biburl = {https://www.bibsonomy.org/bibtex/207b7d4c5e266a206b3e95a0862f7cc6b/mboley},
description = {SpringerLink - Book Chapter},
interhash = {860b1521d6766d7a67f509a75a83b007},
intrahash = {07b7d4c5e266a206b3e95a0862f7cc6b},
journal = {STACS 2002},
keywords = {complexity frequentSetMining listing seminar},
pages = {733--733},
timestamp = {2009-03-25T18:00:33.000+0100},
title = {On the Complexity of Generating Maximal Frequent and Minimal Infrequent Sets},
url = {http://dx.doi.org/10.1007/3-540-45841-7_10},
year = 2002
}