TY - GEN
T1 - Knowledge compilation for itemset mining
AU - Cambazard, Hadrien
AU - Hadzic, Tarik
AU - O'Sullivan, Barry
PY - 2010
Y1 - 2010
N2 - We present a novel approach to itemset mining whereby the set of all itemsets are compiled into a compact form, closely related to binary decision diagrams. While there were previous attempts to utilize decision diagrams for storing the set of frequent itemsets this is the first approach that does not rely on backtrack search to generate such a set. Our empirical evaluation demonstrates that our approach is complementary to current approaches.
AB - We present a novel approach to itemset mining whereby the set of all itemsets are compiled into a compact form, closely related to binary decision diagrams. While there were previous attempts to utilize decision diagrams for storing the set of frequent itemsets this is the first approach that does not rely on backtrack search to generate such a set. Our empirical evaluation demonstrates that our approach is complementary to current approaches.
UR - https://www.scopus.com/pages/publications/77956046101
U2 - 10.3233/978-1-60750-606-5-1109
DO - 10.3233/978-1-60750-606-5-1109
M3 - Conference proceeding
AN - SCOPUS:77956046101
SN - 9781607506058
T3 - Frontiers in Artificial Intelligence and Applications
SP - 1109
EP - 1110
BT - ECAI 2010
PB - IOS Press
T2 - 2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
Y2 - 17 August 2010 through 17 August 2010
ER -