Results 31 to 40 of about 161,462 (303)

Research on Fuzzy Temporal Event Association Mining Model and Algorithm

Axioms, 2023
As traditional models and algorithms are less effective in dealing with complex and irregular temporal data streams, this work proposed a fuzzy temporal association model as well as an algorithm. The core idea is to granulate and fuzzify information from
Aihua Zhu, Zhiqing Meng, Rui Shen
doaj   +1 more source

Unexpected rules using a conceptual distance based on fuzzy ontology

Journal of King Saud University: Computer and Information Sciences, 2014
One of the major drawbacks of data mining methods is that they generate a notably large number of rules that are often obvious or useless or, occasionally, out of the user’s interest.
Mohamed Said Hamani, Ramdane Maamri, Yacine Kissoum, Maamar Sedrati   +3 more
doaj   +1 more source

Anomaly detection in business processes using process mining and fuzzy association rule learning

Journal of Big Data, 2020
Much corporate organization nowadays implement enterprise resource planning (ERP) to manage their business processes. Because the processes run continuously, ERP produces a massive log of processes.
Riyanarto Sarno, Fernandes Sinaga, Kelly Rossa Sungkono   +2 more
doaj   +1 more source

The planar cell polarity protein Vangl2 interacts with the PDZ‐domains of Scribble but not with a unique PDZ‐like domain in Inturned

FEBS Letters, EarlyView.
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes, Jan Brysch, Carmen Gelze, Lilli Meier, Daniel Kümmel   +4 more
wiley   +1 more source

Research on Anomaly Identification of PV Power Station Operation Data Based on Fuzzy Association Rules

IEEE Access
Aiming at the problem that the operating data of photovoltaic power station is characterized by high suddenness and irregularity, which affects the accuracy of abnormal identification of operating data of photovoltaic power station, the method of ...
Ren Tang, Weijun Zhu, Yongling He
doaj   +1 more source

Computation of Support and Confidence for Interval-Valued Fuzzy Association Rules

International Journal of Computational Intelligence Systems, 2020
The aim of this paper is to provide an algorithm for the computation of support and confidence of the association rules on interval-valued fuzzy sets. Each element of the interval-valued fuzzy set has a membership degree defined as an interval.
Michal Burda, Viktor Pavliska, Petra Murinová   +2 more
doaj   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

A Recommendation System in E-Commerce with Profit-Support Fuzzy Association Rule Mining (P-FARM)

Journal of Theoretical and Applied Electronic Commerce Research, 2023
E-commerce is snowballing with advancements in technology, and as a result, understanding complex transactional data has become increasingly important. To keep customers engaged, e-commerce systems need to have practical product recommendations.
Onur Doğan
semanticscholar   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Finding Pareto-front Membership Functions in Fuzzy Data Mining [PDF]

International Journal of Computational Intelligence Systems, 2012
Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases.
Chun-Hao Chen, Tzung-Pei Hong, VincentS. Tseng   +2 more
doaj   +1 more source