Fast parallel association rule mining without candidacy generation
Proceedings 2001 IEEE international conference on …, 2001 - ieeexplore.ieee.org
In this paper we introduce a new parallel algorithm MLFPT (multiple local frequent pattern
tree) for parallel mining of frequent patterns, based on FP-growth mining, that uses only two …
tree) for parallel mining of frequent patterns, based on FP-growth mining, that uses only two …
[PDF][PDF] Fast Parallel Association Rule Mining Without Candidacy Generation
OR Zaıane, M El-Hajj, P Lu - cs.wpi.edu
In this paper we introduce a new parallel algorithm MLFPT (Multiple Local Frequent Pattern
Tree)[11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only …
Tree)[11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only …
[PDF][PDF] Fast Parallel Association Rule Mining Without Candidacy Generation
OR Zaıane, M El-Hajj, P Lu - cs.wpi.edu
In this paper we introduce a new parallel algorithm MLFPT (Multiple Local Frequent Pattern
Tree)[11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only …
Tree)[11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only …
Fast Parallel Association Rule Mining without Candidacy Generation
OR Zaïane, M El-Hajj, P Lu - Proceedings of the 2001 IEEE International …, 2001 - dl.acm.org
In this paper we introduce a new parallel algorithm MLFPT (Multiple Local Frequent Pattern
Tree)[11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only …
Tree)[11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only …
[PDF][PDF] Fast Parallel Association Rule Mining Without Candidacy Generation
OR Zaıane, M El-Hajj, P Lu - researchgate.net
Searching for frequent patterns in transactional databases is considered one of the most
important data mining problems. Most current association mining algorithms, whether …
important data mining problems. Most current association mining algorithms, whether …
[引用][C] Fast Parallel Association Rule Mining Without Candidacy Generation
OR ZAIANE - Proc. of the IEEE 2001 Int. Conf. on Data Mining (ICDM' …, 2001 - cir.nii.ac.jp
Fast Parallel Association Rule Mining Without Candidacy Generation | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
[PDF][PDF] Fast Parallel Association Rule Mining Without Candidacy Generation
OR Zaıane, M El-Hajj, P Lu - scholar.archive.org
Searching for frequent patterns in transactional databases is considered one of the most
important data mining problems. Most current association mining algorithms, whether …
important data mining problems. Most current association mining algorithms, whether …
Fast Parallel Association Rule Mining Without Candidacy Generation
P Lu, M El-Hajj, O Zaiane - 2001 - era.library.ualberta.ca
Searching for frequent patterns in transactional databases is considered one of the most
important data mining problems. Most current association mining algorithms, whether …
important data mining problems. Most current association mining algorithms, whether …
Fast Parallel Association Rule Mining without Candidacy Generation
OR ZaÏane, M El-Hajj, P Lu - Proceedings 2001 IEEE International …, 2001 - computer.org
We propose a threshold trimming based design of a CMOS operational amplifier (op-amp)
whose specifications are varied over a wide range through a continuous and independent …
whose specifications are varied over a wide range through a continuous and independent …
[PDF][PDF] Fast Parallel Association Rule Mining Without Candidacy Generation
OR Zaıane, M El-Hajj, P Lu - Citeseer
Searching for frequent patterns in transactional databases is considered one of the most
important data mining problems. Most current association mining algorithms, whether …
important data mining problems. Most current association mining algorithms, whether …
