Results 111 to 120 of about 801,363 (206)

Near closed frequent itemsets to accelerate the generation of association rules in a data stream environment

, 2010
The subject of this research is mining data stream. It is one of the most challenging and widely researched areas in Knowledge Discovery and Data Mining (KDD). A data stream is a continuous, voluminous, and unpredictable flow of data which occurs in many
Viriyarattanaporn, Nathaphong
core   +1 more source

OLOGRAM-MODL: mining enriched n-wise combinations of genomic features with Monte Carlo and dictionary learning. [PDF]

NAR Genom Bioinform, 2021
Ferré Q, Capponi C, Puthier D.
europepmc   +1 more source

An Efficient Algorithm for Mining Closed Frequent Inter-transaction Itemsets

, 2007
跨交易關聯規則可代表不同交易中項目間的關係，而近年來有愈來愈多相關的探勘演算法被提出，然而這些演算法會產生相當多的跨交易頻繁項目集合。找尋封閉性跨交易頻繁項目集合可使探勘的過程更有效率。 因此，在本篇論文中我們提出了一個探勘演算法叫「ICMiner」，以找尋封閉性跨交易頻繁項目集合。我們的方法可分為兩個階段。第一階段，將原始的資料庫轉換成領域屬性集合，使得每一個頻繁項目的領域屬性形成一個集合。第二階段，利用ID-tree去列舉出所有的封閉性跨交易頻繁項目集合。藉由ID-tree進行資料探勘 ...
翁婉玉, Weng, Wan-Yu
core  

Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]

PLoS One
Le N, Vo H, Nguyen T.
europepmc   +1 more source

Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]

Sensors (Basel)
Mariadhason JS, Joseph ER, Srinivasan P, Francis RD.   +3 more
europepmc   +1 more source

Mining personalized core traditional Chinese medicine prescriptions for rheumatoid arthritis and elucidating their mechanisms via frequent closed Itemset compression and multilevel network pharmacology. [PDF]

Front Mol Biosci
Chen X, Yu J, Dong X, Chen Z, Tian J, Zhao M, Jiang M, Guo H, Zhou X, Fa L, Li Y, Zhang L.   +11 more
europepmc   +1 more source

Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]

Sci Rep
Al-Wagih K, Abdullah MA, Senan EM.
europepmc   +1 more source

A high utility itemsets mining algorithm based on co-evolution. [PDF]

Sci Rep
Yang W, Han M, Dai Z, Li J, Ding J.
europepmc   +1 more source

Federated Learning and Data Mining-Based Botnet Attack Detection Framework for Internet of Things. [PDF]

Sensors (Basel)
Sudheera KLK, Priyashan LLGM, Pavithra OAS, Aththanayake MWT, Sudasinghe PB, Sankalpa WGCA, Sandamali GGN, Chong PHJ.   +7 more
europepmc   +1 more source

Exploration of association rule mining between lost-linking features and modes of loan customers using the FP-growth algorithm for risk warning strategies. [PDF]

PLoS One
Wang J, Jiang X, He Y, Guan B, Deng C.
europepmc   +1 more source