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MapFIM: Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets

Khanh-Chuong Duong 1, 2 Mostafa Bamha 1 Arnaud Giacometti 2 Dominique Li 2 Arnaud Soulet 2 Christel Vrain 1
1 LIFO - Laboratoire d'Informatique Fondamentale d'Orléans
2 BDTLN - Bases de données et traitement des langues naturelles
LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours
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Conference papers
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https://hal.inria.fr/hal-01622256
Contributor : Arnaud Giacometti <>
Submitted on : Tuesday, October 24, 2017 - 11:33:15 AM
Last modification on : Monday, November 30, 2020 - 4:26:04 PM

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  • HAL Id : hal-01622256, version 1

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MSL | MSL-THESE | LIBDTLN | UNIV-ORLEANS | UNIV-TOURS | LIFAT | CNRS | INSA-GROUPE | INSA-CVL

Citation

Khanh-Chuong Duong, Mostafa Bamha, Arnaud Giacometti, Dominique Li, Arnaud Soulet, et al.. MapFIM: Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets. International Conference on Database and Expert Systems Applications (DEXA), Aug 2017, Lyon, France. ⟨hal-01622256⟩

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