Results 11 to 20 of about 60,734 (264)

Research on Key Factors Affecting Power Supply and Demand Trend Based on Complex Correlation [PDF]

E3S Web of Conferences, 2020
The market behaviors of the supply and demand sides in the power market are the issues that market participants, operators and regulators are most concerned about. This article starts from the two dimensions of power generation market behavior and demand
Liu Dunnan, Ge Rui, Li Pengfei, Li Hua, Shi Shanzhe, Li Shilin, Han Jinshan   +6 more
doaj   +1 more source

Analyzing microarray data using quantitative association rules [PDF]

Bioinformatics, 2005
Abstract Motivation: We tackle the problem of finding regularities in microarray data. Various data mining tools, such as clustering, classification, Bayesian networks and association rules, have been applied so far to gain insight into gene-expression data.
Georgii, E., Richter , L., Rückert, U., Kramer, S.   +3 more
openaire   +3 more sources

Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases

PLoS ONE, 2020
Objective It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus (T2DM), dyslipidemia (DLP) and periodontitis (PD), which are chronic inflammatory diseases.
Rosana Veroneze, Sâmia Cruz Tfaile Corbi, Bárbara Roque da Silva, Cristiane de S. Rocha, Cláudia V. Maurer-Morelli, Silvana Regina Perez Orrico, Joni A. Cirelli, Fernando J. Von Zuben, Raquel Mantuaneli Scarel-Caminaga, Paolo Magni   +9 more
doaj   +2 more sources

Frequent contiguous pattern mining over biological sequences of protein misfolded diseases

BMC Bioinformatics, 2021
Background Proteins are integral part of all living beings, which are building blocks of many amino acids. To be functionally active, amino acids chain folds up in a complex way to give each protein a unique 3D shape, where a minor error may cause ...
Mohammad Shahedul Islam, Md. Abul Kashem Mia, Mohammad Shamsur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba   +5 more
doaj   +1 more source

Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules

IEEE Access, 2020
In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima   +3 more
doaj   +1 more source

Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults

Frontiers in Medical Technology, 2022
It is often assumed that healthy people have the genuine ability to maintain tight blood glucose regulation. However, a few recent studies revealed that glucose dysregulation such as hyperglycemia may occur even in people who are considered normoglycemic
Zilu Liang, Zilu Liang
doaj   +1 more source

The use of quantitative association rules in cellular network planning

Journal of Telecommunications and Information Technology, 2003
This paper describes the problem of planning cellular network base stations with optimization to traffic requirements. This research problem was a main incentive to add some development to the theory of association rules.
Michał Okoniewski
doaj   +1 more source

Integrating Data Mining Techniques for Naïve Bayes Classification: Applications to Medical Datasets

Computation, 2021
In this study, we designed a framework in which three techniques—classification tree, association rules analysis (ASA), and the naïve Bayes classifier—were combined to improve the performance of the latter.
Pannapa Changpetch, Apasiri Pitpeng, Sasiprapa Hiriote, Chumpol Yuangyai   +3 more
doaj   +1 more source

PPQAR: Parallel PSO for quantitative association rule mining [PDF]

Peer-to-Peer Networking and Applications, 2018
Mining quantitative association rules is one of the most important tasks in data mining and exists in many real-world problems. Many researches have proved that particle swarm optimization(PSO) algorithm is suitable for quantitative association rule mining (ARM) and there are many successful cases in different fields.
Danfeng Yan, Xuan Zhao, Rongheng Lin, Demeng Bai   +3 more
openaire   +1 more source

Discovery of Scalable Association Rules from Large Set of Multidimensional Quantitative Datasets

Journal of Advances in Information Technology, 2012
In proposed approach, we introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes.
Tamanna Siddiqui, M Afshar Aalam, Sapna Jain   +2 more
doaj   +1 more source