Results 11 to 20 of about 779 (215)
FP-Growth in Discovery of Customer Patterns [PDF]
, 2012 The paper describes a knowledge discovery platform and a novel process for finding association rules based on the algorithm FP-Growth and its variants. Built software solution has been optimized in terms of memory usage and computation time as well as the impact of all modifications made to the whole process of rules discovery The process of rule ...
Jerzy Korczak 0001, Piotr Skrzypczak
openaire +2 more sources
Product Stock Supply Analysis System with FP Growth Algorithm
Journal of Information Systems and Informatics, 2023 This study explores the application of Data Mining in deciphering consumer purchasing patterns at Tani Heritage Shop, a retailer specializing in agricultural products.
Dwi Hartanti, Vihi Atina
doaj +1 more source
MS-FP-Growth: A Multi-support Version of FP-Growth Algorithm
International Journal of Hybrid Information Technology, 2014 In this paper, we propose a new version of FP-Growth algorithm to find association rules. In this version, we vary the minsup value from one level to another. This variation is made in two cases: increasing and decreasing the minsup value. We performed a set of experiments to validate the usefulness of our proposition in the generation of association ...
Wiem Taktak, Yahya Slimani
openaire +1 more source
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2019 The extracting associationrules of inter-user-product relations used by companies in decision-makingprocesses have been popular for some time, especially for market basketanalysis.
Elif Şafak Sivri +1 more
doaj +1 more source
Power Knowledge Text Mining Based on FP-Growth Algorithm and GRNN [PDF]
Jisuanji kexue, 2021 In order to improve the performance of power knowledge text mining,FP-Growth algorithm is used to mine the strong correlation factors that affect the power demand,and GRNN algorithm is used to realize the power demand forecasting.Firstly,the index of the
BAI Yong, ZHANG Zhan-long, XIONG Jun-di
doaj +1 more source
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2019 Currently, the incidence of prostate cancer has been increasing around the world. Knowing prostate cancer survival time is very important for physicians and patients, since physicians can guide decision making in order to select the proper treatment that
Jaree Thongkam +2 more
doaj +1 more source
Fishes, 2023 Aquaponics (AP) and biofloc technology (BFT) systems rely heavily on bacterial communities to break down organic matter and cycle nutrients that are essential for fish and plant growth. The functional roles of bacterial communities in aquaculture systems
Ju-Ae Hwang +4 more
doaj +1 more source
Pattern Mining on Stars with FP-Growth [PDF]
, 2010 Most existing data mining (DM) approaches look for patterns in a single table. Multi-relational DM approaches, on the other hand, look for patterns that involve multiple tables. In recent years, the most common DM techniques have been extended to the multirelational case, but there are few dedicated to star schemas.
Andreia Silva 0001, Cláudia Antunes
openaire +1 more source
Journal for ImmunoTherapy of Cancer, 2021 Background Treatment-induced accelerated tumor growth is a progression pattern reported with immune checkpoint inhibitors that has never been evaluated in randomized phase III studies because it requires two pretreatment scans.
Julien Mazières +10 more
doaj +1 more source
A Parallel Apriori Algorithm and FP- Growth Based on SPARK [PDF]
ITM Web of Conferences, 2021 Frequent Itemset Mining is an important data mining task in real-world applications. Distributed parallel Apriori and FP-Growth algorithm is the most important algorithm that works on data mining for finding the frequent itemsets.
Gupta Priyanka, Sawant Vinaya
doaj +1 more source