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Hybrid Recommendation System Memanfaatkan Penggalian Frequent Itemset dan Perbandingan Keyword [PDF]

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015
Abstrak Recommendation system sering dibangun dengan memanfaatkan data peringkat item dan data identitas pengguna. Data peringkat item merupakan data yang langka pada sistem yang baru dibangun.
Wayan Gede Suka Parwita, Edi Winarko
doaj   +2 more sources

Frequent regular itemset mining [PDF]

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an extension of itemsets, called regular, with an immediate semantics and interpretability, and a conciseness comparable to closed itemsets. Regular itemsets allow for specifying
RUGGIERI, SALVATORE, Salvatore Ruggieri
openaire   +4 more sources

Polypharmacy burden and incident epilepsy among older adults in the United States. [PDF]

Epilepsia Open
Abstract Objectives To estimate the prevalence of polypharmacy among older adults with incident epilepsy and to describe the most common combinations of drug classes filled prior to epilepsy diagnosis. Polypharmacy—the concurrent use of multiple medications—is common in older adults with epilepsy, but little is known about its burden and specific ...
Shearn-Nance G, Vu L, Fein HL, Bensken WP, Rieke JG, Sajatovic M, Ghearing G, Warner DF, Koroukian SM, Schiltz NK.   +9 more
europepmc   +2 more sources

IMPLEMENTATION OF DYNAMIC AND FAST MINING ALGORITHMS ON INCREMENTAL DATASETS TO DISCOVER QUALITATIVE RULES [PDF]

Applied Computer Science, 2021
Association Rule Mining is an important field in knowledge mining that allows the rules of association needed for decision making. Frequent mining of objects presents a difficulty to huge datasets.
Pannangi Naresh, R. Suguna
doaj   +2 more sources

Parallel Mining Algorithm of Frequent Itemset Based on N-list and DiffNodeset Structure [PDF]

Jisuanji kexue, 2023
Frequent itemset mining is a basic problem of data mining and plays an important role in many data mining applications.In order to solve the problems of the parallel frequent itemset mining algorithm(MrPrePost) in big data environment,such as algorithm ...
ZHANG Yang, WANG Rui, WU Guanfeng, LIU Hongyi
doaj   +1 more source

Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases

IEEE Access, 2023
Stable periodic-frequent itemset mining is essential in big data analytics with many real-world applications. It involves extracting all itemsets exhibiting stable periodic behaviors in a temporal database.
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Uday Kiran Rage, Yutaka Watanobe, Incheon Paik   +5 more
doaj   +1 more source

An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm

Complexity, 2022
Frequent itemset mining is the most important step of association rule mining. It plays a very important role in incremental data environments. The massive volume of data creates an imminent need to design incremental algorithms for the maximal frequent ...
Hussein A. Alsaeedi, Ahmed S. Alhegami
doaj   +1 more source

Proposed Algorithm for Extracting Association Rule Depend on Closed Frequent Itemset (EACFI) [PDF]

Engineering and Technology Journal, 2011
Association rules are important one of data mining activities. All algorithms of association rule mining consist of finding frequency of itemsets, which satisfy a minimum support threshold, and then compute confidence percentage for each k-itemsets to ...
Emad k. Jbbar, Yaser Munther
doaj   +1 more source

A review on big data based parallel and distributed approaches of pattern mining

Journal of King Saud University: Computer and Information Sciences, 2022
Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
doaj   +1 more source

Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation [PDF]

EAI Endorsed Transactions on Energy Web, 2021
High-utility based itemset mining is the advancement of recurrent pattern mining that discovers occurrence of frequent transactions from a huge database.
Pazhaniraja N, Sountharrajan S, Suganya E, Karthiga M   +3 more
doaj   +1 more source