Results 31 to 40 of about 1,701 (255)

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

A Fuzzy Close Algorithm for Mining Fuzzy Association Rules [PDF]

, 2018
Association rules allow to mine large datasets to automatically discover relations between variables. In order to take into account both qualitative and quantitative variables, fuzzy logic has been applied and many association rule extraction algorithms have been fuzzified.
Pierrard, Régis, Poli, Jean-Philippe, Hudelot, Céline   +2 more
openaire   +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

Interestingness Measures for Fuzzy Association Rules [PDF]

, 2001
Data mining tries to discover interesting and surprising patterns among a given data set. An important task is to develop effective measures of interestingness for evaluating and ranking the discovered patterns. A good measure should give a high rank to patterns, which have strong evidence among data, but which yet are not too obvious.
Attila Gyenesei, Jukka Teuhola
openaire   +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

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

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Efficient mining fuzzy association rules from ubiquitous data streams

Alexandria Engineering Journal, 2015
Due to the development in technology, a number of applications such as smart mobile phone, sensor networks and GPS devices produce huge amount of ubiquitous data in the form of streams. Different from data in traditional static databases, ubiquitous data
Amal Moustafa, Badr Abuelnasr, Mohamed Said Abougabal   +2 more
doaj   +1 more source