Results 71 to 80 of about 15,306 (225)
Implementasi Algoritma Apriori Pada Data Benchmark Kosarak Dan Mushrooms
, 2017 Algoritma apriori saat ini lebih banyak digunakan untuk mencari frequent itemsets dan mencari aturan asosiasi untuk menemukan knowledge. Proses mencari frequent itemsets pada data secara berulang-ulang yang ada didalam database dan diakhiri ketika ...
muliono, Rizki
core +2 more sources
An Improved Apriori Algorithm For Association Rules
International Journal on Natural Language Computing, 2014 9 pages, 3 figures, 8 tables ...
Mohammed Al-Maolegi, Bassam Arkok
openaire +2 more sources
British Journal of Health Psychology, Volume 31, Issue 2, May 2026.Abstract Objectives To explore the delivery of the train the trainer (TtT) model for Making Every Contact Count (MECC) training in the North East and North Cumbria (NENC) region of England. Design A qualitative study, utilizing semi‐structured interviews.
Beth Nichol +7 more
wiley +1 more source
Application of Data Assimilation Methods to Reconstruct the 3–5 December 2015 Etna Eruption
Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.Abstract The assessment of volcanic hazards is crucial to develop effective emergency plans, especially for volcanoes close to urban areas or under air traffic routes. Impact assessment for expected scenarios relies on underlying numerical models that require eruption source parameters as inputs, and forecasts drastically depend on their robust ...
B. Martínez Montesinos +7 more
wiley +1 more source
A Spatiotemporal Apriori Approach to Capture Dynamic Associations of Regional Traffic Congestion
IEEE Access, 2020 Due to the interactions among adjacent roads in urban road networks, traffic congestion gradually propagates to neigboring roads, resulting in regional congestion.
Dong-Fan Xie +2 more
doaj +1 more source
An Improved Apriori Algorithm based on Matrix Data Structure
, 2014 Mining regular/frequent itemsets is very important concept in association rule mining which shows association among the variables in huge database. the classical algorithm used for extracting regular itemsets faces two fatal deficiencies .firstly it ...
Shalini Dutt, Naveen Choudhary
core
Scalable and Efficient Improved Apriori Algorithm
, 2020 : Apriori algorithm is a classical algorithm of association rule mining and widely used for mining association rule which uses frequent item. Based on the Apriori algorithm analysis and research, this paper points out the main problems on the application,
Prof. Sheetal Dhande, Miss Nutan Dhange
core
, 2017 Finding frequent itemsets is a popular data mining problem, aiming to extract hidden patterns from a transactional database. Several bio-inspired approaches to solve this problem have been proposed to overcome the poor performance of exact algorithms ...
Djenouri, Youcef +3 more
core +1 more source
JOIV: International Journal on Informatics VisualizationThe widespread use of proxy servers has introduced challenges in managing and securing internet connections, particularly in detecting non-transparent proxies that obscure the originating IP address.
Kamaruzaman Maskat +4 more
doaj +1 more source
Husserl versus Foucault: "Apriori" revisited
Genealogy+Critique, 2015 The uniqueness of Foucault's work bears not least on a rare combination of meticulous historical research and philosophical abstraction. However, this combination—exemplified by the notion of the 'historical a priori'—also induces a fundamental tension ...
Maurice Erb
doaj +2 more sources