Results 41 to 50 of about 779 (215)
Research of the FP-Growth Algorithm Based on Cloud Environments
Journal of Software, 2014 The emergence of cloud computing solves the problems that traditional data mining algorithms encounter when dealing with large data. This paper studies the FP-Growth algorithm and proposes a parallel linked list-based FPG algorithm based on MapReduce programming model, named as the PLFPG algorithm.
Lijuan Zhou, Xiang Wang
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MINING STARS WITH FP-GROWTH: A CASE STUDY ON BIBLIOGRAPHIC DATA [PDF]
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2011 Traditional data mining approaches look for patterns in a single table, while multi-relational data mining aims for identifying patterns that involve multiple tables. In recent years, the most common mining techniques have been extended to the multi-relational context, but there are few dedicated to deal with data stored following the multi ...
Andreia Silva 0001, Cláudia Antunes
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FEBS Open Bio, EarlyView.We first identified functional murine mitochondrial N‐formyl peptides (MT‐FPs) and investigated their effects on the in vitro myeloid‐derived suppressor cell (MDSC) generation from bone marrow cells. We demonstrated that MT‐FPs acted directly on bone marrow cells to promote MDSC generation and modulated the polymorphonuclear (PMN)‐MDSC/monocyte (M ...
Miyako Ozawa +2 more
wiley +1 more source
FP-Growth Implementation for Market Basket Analysis in Building Materials Store in Surabaya
Journal of Applied Informatics and ComputingBuilding 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
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Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins
FEBS Open Bio, EarlyView.Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley +1 more source
Multilevel Association Rules on Customers’ Buying Pattern Based on Sales Transactions: A Study Case in Retail [PDF]
International Journal of Industrial Engineering and Production ResearchThe retail industry is a vital sector of the world economy and is characterized by fierce competition, tight profit margins, and demanding consumers. Understanding customer buying behavior patterns is essential in devising the best retail strategy to ...
Melinska Ayu Febrianti +3 more
doaj
Comparison of Apriori and FP-Growth Algorithms in Market Basket Analysis for Online Book Sales
Journal of Applied Informatics and ComputingThis 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 +1 more
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Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Research of Improved FP-Growth Algorithm in Association Rules Mining [PDF]
Scientific Programming, 2015 Association rules mining is an important technology in data mining. FP-Growth (frequent-pattern growth) algorithm is a classical algorithm in association rules mining. But the FP-Growth algorithm in mining needs two times to scan database, which reduces the efficiency of algorithm.
Yi Zeng 0003 +3 more
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Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source