Incremental Association Rule Mining With a Fast Incremental Updating Frequent Pattern Growth Algorithm [PDF]
IEEE Access, 2021 One of the most challenging tasks in association rule mining is that when a new incremental database is added to an original database, some existing frequent itemsets may become infrequent itemsets and vice versa.
Wannasiri Thurachon, Worapoj Kreesuradej
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A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data [PDF]
Complexity, 2018 Frequent pattern mining is an effective approach for spatiotemporal association analysis of mobile trajectory big data in data-driven intelligent transportation systems.
Dawen Xia +5 more
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Frequent pattern growth algorithm for maximizing display items
TELKOMNIKA (Telecommunication Computing Electronics and Control), 2020 Products are goods that are available and provided in stores for sale. Products provided in stores must be arranged properly to order to attract the attention of consumers to buy. Products arranged in a store will depend on the type of store. The product arrangement at a retail store will be different from the product arrangement at a clothing store ...
Asyahri Hadi Nasyuha +6 more
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Finding optimum climatic parameters for high tomato yield in Benin (West Africa) using frequent pattern growth algorithm [PDF]
PLoS ONETomato is one of the most appreciated vegetables in the world. Predicting its yield and optimizing its culture is important for global food security. This paper addresses the challenge of finding optimum climatic values for a high tomato yield.
Sèton Calmette Ariane Houetohossou +3 more
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CLTD-LP: an optimized top-down clustering approach with linear prefix trees for scalable frequent pattern discovery in large datasets [PDF]
Scientific ReportsThe extraction of frequent itemsets and association rules is a fundamental challenge in data mining and holds significant importance within the field. Mining techniques utilising Linear Prefix (LP) growth association rules employ a bottom-up methodology ...
M. Sinthuja, M. Diviya, P. Saranya
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A pattern-growth approach for mining maximal fault-tolerant frequent itemsets [PDF]
Scientific ReportsMining fault-tolerant (FT) frequent itemsets in noisy datasets is more challenging than conventional frequent itemset mining due to the high cost of evaluating fault-tolerance conditions.
Shariq Bashir
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Jurnal Sisfokom, 2023 Data analysis and processing is very important to support business development. One example is The Javanese Café which requires analysis and processing to determine promotional menu package recommendations.
Samsinar Samsinar, Dwi Astuti
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Market Basket Analysis using the Frequent Pattern Growth Algorithm at RJ Mart Melaris
Sistemasi: Jurnal Sistem InformasiMarketing strategy in a business is a major factor in the success or failure of a business both micro, medium and macro. With an effective and efficient marketing strategy It is hoped that it can increase income to the maximum.
ubay hakim arrafiq +2 more
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Incremental Updating Algorithm of Parallel Association Rule Based on MapReduce [PDF]
Jisuanji gongcheng, 2016 Under the environment of big data,the traditional association rule mining algorithms have lower efficiency caused by the rapidly increasing data.Aiming at the problem,this paper proposes a parallel incremental updating algorithm of association rules ...
CHENG Guang,WANG Xiaofeng
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Towards Enhancing the Performance of Parallel FP-Growth on Spark
IEEE Access, 2022 Frequent itemset mining (FIM) is a crucial tool for identifying hidden patterns in information. FP-Growth is an FIM algorithm used to find associations.
Amr Essam +2 more
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