Top-K Miner: top-K identical frequent itemsets discovery without user support threshold
Crossref DOI link: https://doi.org/10.1007/s10115-015-0907-7
Published Online: 2015-12-31
Published Print: 2016-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Saif-Ur-Rehman,
Ashraf, Jawad
Habib, Asad
Salam, Abdus
Text and Data Mining valid from 2015-12-31