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Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
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SCARF: a biomedical association rule finding webserver
Journal of Integrative Bioinformatics, 2022 The analysis of enormous datasets with missing data entries is a standard task in biological and medical data processing. Large-scale, multi-institution clinical studies are the typical examples of such datasets.
Szalkai Balázs, Grolmusz Vince
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Journal of Advances in Information Technology, 2011 Various methods for mining association rules atmultiple conceptual levels focusing on different sets of dataand applying different thresholds at different levels havebeen proposed in literature. These are ML_T2L1,ML_T1LA, ML_TML1, and ML_T2LA.
Suraj K Srivastava +2 more
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Analysis and research on library user behavior based on apriori algorithm
Measurement: Sensors, 2023 This paper discusses the analysis and research of library user behavior based on Apriori optimization algorithm. This algorithm can be used to analyze the borrowing behavior of users in the library.
Xiaoying Zhang, Jian Zhang
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FP-tree and COFI Based Approach for Mining of Multiple Level Association Rules in Large Databases
, 2010 In recent years, discovery of association rules among itemsets in a large database has been described as an important database-mining problem. The problem of discovering association rules has received considerable research attention and several ...
Kumar, Parveen +2 more
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Ontology in association rules [PDF]
SpringerPlus, 2013 Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as the use of association rules, may substantially reduce the search effort over large data sets, often, the consequential outcomes surpass the amount of information humanly manageable.
Ferraz, Inhaúma, Garcia, Ana Cristina
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Pola peminjaman buku di perpustakaan Universitas Syiah Kuala menggunakan Algoritma Eclat
Berkala Ilmu Perpustakaan dan Informasi, 2018 Introduction. UPT Unsyiah Library is one of the facilities in Syiah Kuala University which provides book lending service to users.The library collects all information and has expanded a big data of book lending. Data Collection Method. This research aims
Muhammad Subianto +2 more
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Performance analysis of modified algorithm for finding multilevel association rules
, 2013 Multilevel association rules explore the concept hierarchy at multiple levels which provides more specific information. Apriori algorithm explores the single level association rules. Many implementations are available of Apriori algorithm.
Jain, R. C., Shrivastava, Arpna
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Redundancy, Deduction Schemes, and Minimum-Size Bases for Association Rules [PDF]
, 2009 Association rules are among the most widely employed data analysis methods in the field of Data Mining. An association rule is a form of partial implication between two sets of binary variables.
A Freitas +11 more
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Web Usage Pattern Discovery Using Time Stamp Association Rules [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 : Association rules are typically used to describe what items are frequently bought together. One could also use them in web usage mining to describe the pages that are often visited together .The goal of web usage mining is to extract useful knowledge ...
Nidal Ali Hussein
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