Results 101 to 110 of about 615 (220)
Mining of high average-utility patterns with item-level thresholds
, 2019 In this paper, we introduce a level-wise algorithm named High Average-Utility Itemset Mining with Multiple Minimum Average-Utility threshold (HAUIM-MMAU), which relies on a novel transaction-maximum utility downward closure (TMUDC) property and a concept
Zhang, Ji +4 more
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Enhancing the Performance of Mining High Utility Itemsets Based On Pattern Algorithm [PDF]
, 2020 : Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information. An association in data mining indicates a logical dependency between various attributes of an entity.
Ranjith M Kumar +2 more
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Discovering High-Utility Itemsets at Multiple Abstraction Levels [PDF]
, 2017 High-Utility Itemset Mining (HUIM) is a relevant data mining task. The goal is to discover recurrent combinations of items characterized by high prot from transactional datasets.
CHIUSANO, SILVIA ANNA +7 more
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An Incremental Mining Algorithm for High Average-Utility Itemsets
, 2012 [[abstract]]The average utility measure reveals a better utility effect of combining several items than the original utility measure. In this paper, we propose a two-phase average-utility mining algorithm that can incrementally maintain the high average ...
Hong, Tzung-Pei; Lee, Cho-Han; Wang, Shyue-Liang
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A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data
Existing algorithms for high-utility itemsets mining are column enumeration based, adopting an Apriorilike candidate set generation-and-test approach, and thus are inadequate in datasets with high dimensions or long patterns.
Xianhui Zeng +3 more
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FHNM: High Utility Itemsets Mining Algorithm From Transaction Database with Negative Utility Value
, 2017 Algorithms for mining high utility itemset normally aims at discovering itemsets that contain more items [1,2,3]. However, the itemsets that contain more items are rare in the database and have little meaning to users [5]. Therefore, the algorithm FHM+[5]
Huỳnh Triệu Vỹ*, Lê Quốc Hải, Phạm Khánh Bảo
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A New Method for Mining High Average Utility Itemsets
, 2014 Part 2: AlgorithmsInternational audienceData mining is one of exciting fields in recent years. Its purpose is to discover useful information and knowledge from large databases for business decisions and other areas.
Vo, Bay +8 more
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A SAT-based approach for mining high utility itemsets from transaction databases
, 2020 International audienceMining high utility itemsets is a keystone in several data analysis tasks. High Utility Itemset Mining generalizes the frequent itemset mining problem by considering item quantities and weights.
Hidouri, Amel +3 more
core +1 more source
Mining High-Average Utility Itemsets with Positive and Negative External Utilities
, 2020 High-utility itemset mining (HUIM) is an emerging data mining topic. It aims to find the high-utility itemsets by considering both the internal (i.e., quantity) and external (i.e., profit) utilities of items.
Yildirim, Irfan, ÇELİK, METE
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High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items.
YING LIU +4 more
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