Results 41 to 50 of about 2,811 (218)
A novel association rule mining approach using TID intermediate itemset. [PDF]
PLoS ONE, 2018 Designing an efficient association rule mining (ARM) algorithm for multilevel knowledge-based transactional databases that is appropriate for real-world deployments is of paramount concern.
Iyad Aqra +7 more
doaj +1 more source
Sistem Rekomendasi Buku Perpustakaan Menggunakan Algoritma Frequent Pattern Growth
Techno.Com, 2022 Perpustakaan memiliki pelayanan utama memfasilitasi peminjaman buku, untuk memudahkan anggota perpustakaan menemukan buku yang tepat, perpustakaan dapat dilengkapi dengan sistem pencarian buku.
Endang Retnoningsih +1 more
doaj +1 more source
Reading Research Quarterly, Volume 61, Issue 2, April/May/June 2026.This study introduces and validates the Self‐Efficacy for Online Reading Questionnaire (SEORQ), a process‐grounded instrument designed to measure secondary students' efficacy in executing the core demands of online reading. The model conceptualizes online reading self‐efficacy as a multidimensional construct encompassing five interrelated processes ...
SeongYeup Kim +2 more
wiley +1 more source
Memory-efficient frequent-itemset mining
Proceedings of the 14th International Conference on Extending Database Technology, 2011 Efficient discovery of frequent itemsets in large datasets is a key component of many data mining tasks. In-core algorithms---which operate entirely in main memory and avoid expensive disk accesses---and in particular the prefix tree-based algorithm FP-growth are generally among the most efficient of the available algorithms.
Benjamin Schlegel +2 more
openaire +3 more sources
Personalized and Explainable Aspect‐Based Recommendation Using Latent Opinion Groups
Computational Intelligence, Volume 42, Issue 2, April 2026.ABSTRACT The problem of explainable recommendation—supporting the recommendation of a product or service with an explanation of why the item is a good choice for the user—is attracting substantial research attention recently. Recommendations associated with an explanation of how the aspects of the chosen item may meet the needs and preferences of the ...
Maryam Mirzaei +2 more
wiley +1 more source
A Robust Technique for Closed Frequent and High Utility Itemsets Mining: Closed-FHUIM
IEEE AccessFrequent itemset mining (FIM) and high utility itemset mining (HUIM) are popular data mining techniques used in various real-world applications such as retail-market, bio-medicine, and click-stream analysis.
Muhammad Waheed Ashraf +2 more
doaj +1 more source
Rekomendasi Paket Produk Guna Meningkatkan Penjualan Dengan Metode FP-Growth
Khazanah Informatika, 2018 Perilaku konsumen dalam membeli suatu produk memang sangat beragam. Ada pembeli yang gemar membeli produk yang telah dipaket, tetapi ada juga pembeli yang membeli produk yang mendapat diskon, dan masih banyak lagi.
Asrul Abdullah
doaj +1 more source
Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi +3 more
wiley +1 more source
Frequent Itemset Mining and Multi-Layer Network-Based Analysis of RDF Databases
Mathematics, 2021 Triplestores or resource description framework (RDF) stores are purpose-built databases used to organise, store and share data with context. Knowledge extraction from a large amount of interconnected data requires effective tools and methods to address ...
Gergely Honti, János Abonyi
doaj +1 more source
Frequent itemset mining in high dimensional data: a review [PDF]
, 2018 This paper provides a brief overview of the techniques used in frequent itemset mining. It discusses the search strategies used; i.e. depth first vs. breadth-first, and dataset representation; i.e. horizontal vs. vertical representation.
Nurul Fariza Zulkurnain +3 more
core +1 more source