Results 61 to 70 of about 3,752,831 (214)

Optimizing Culinary Association Rules with Genetic Algorithms Using Lift and Novelty

Journal of Applied Informatics and Computing
The culinary industry generates large volumes of transaction data, yet conventional Association Rule Mining often produces excessive rules due to rule explosion.
Larasati Romadhani Yunita Putri, Amri Muhaimin, Trimono Trimono   +2 more
doaj   +1 more source

Comparison of Apriori, FP-growth and Dynamic FP- growth for Frequent Patterns [PDF]

, 2010
Frequent pattern mining is one of the active research themes in data mining. It is an important role in all data mining tasks such as clustering, classification, prediction and association analysis. Frequent pattern is the most time consuming process due
Cho, War War, Nwe, Nwe
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Performance Measure of Similis and FP-Growth Algorithm

International Journal of Computer Applications, 2013
Exploration, analysis of data and to know patterns from large data repository has become the need of an hour. Data Mining Technology provides the solution to meet the market trends. Mining association rule is one of the main application areas of Data Mining.
Ajay Rana, Jyoti Agarwal, Archana Singh
openaire   +1 more source

Performance Evaluation of Apriori and FP-Growth Algorithms

International Journal of Computer Applications, 2013
In Data Mining, Association Rule Mining is a standard and well researched technique for locating fascinating relations between variables in large databases. Association rule is used as a precursor to different Data Mining techniques like classification, clustering and prediction. The aim of the paper is to guage the performance of the Apriori algorithm
A. R. Mohamed Shanavas, M. S.Mythili
openaire   +1 more source

Improved Balanced Parallel FP-Growth with MapReduce

DEStech Transactions on Computer Science and Engineering, 2017
The existing parallel FP-Growth algorithm have solved the problems such as the partition of transaction dataset, which can guarantee that each transaction dataset is independent after the partition, but there are still many problems such as too many iterations in the process of FP-tree mining on single node and low efficiency.
Qing YANG, Fei-Yang DU, Xi ZHU, Cheng-Gong JIANG   +3 more
openaire   +2 more sources

Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns

Journal of Applied Informatics and Computing
Veterinary clinics routinely generate transactional data that contain valuable information about both operational workflows and customer preferences. This study aims to differentiate between procedural and customer-driven service patterns by applying the
Rafi Dio, Aulia Agung Dermawan, Dwila Sempi Yusiani, Rifaldi Herikson, Andikha Andikha, Dwi Ely Kurniawan, Adyk Marga Raharja   +6 more
doaj   +1 more source

grimmmyshini/chef-fp-examples: IPDPS Artifact Release

, 2023
This release is our submission of CHEF-FP and its examples to IPDPS ...
Garima Singh, Baidyanath Kundu
core   +1 more source

Comparison of Apriori and FP-Growth Algorithms in Market Basket Analysis for Online Book Sales

Journal of Applied Informatics and Computing
This research aims to compare the performance of the Apriori and FP-Growth algorithms in the process of data mining association patterns in the online sales transaction data of a bookstore.
Sofia Rizkal Karimah, Erika Devi Udayanti   +1 more
doaj   +1 more source

FP-Growth Implementation for Market Basket Analysis in Building Materials Store in Surabaya

Journal of Applied Informatics and Computing
Building materials store generally manage large volumes of transaction data with unique characteristics such as high product variety and uneven purchase distribution making these data often not fully used for business decisions effectively.
Valencia Melita Christy, Indra Maryati
doaj   +1 more source

Craniofacial growth theory and orthodontic treatment

, 1990
http://babel.hathitrust.org/cgi/pt?id=uc1.l0061452249;view=2up;ui=fullscreen#page/n0/mode ...
Symposium on Craniofacial Growth
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