Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets
IEEE Access, 2020 Data mining is a critical technology for extracting valuable knowledge from databases. It has been used in many fields, like retail, finance, biology, etc.
Tzung-Pei Hong +5 more
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A Spatial Fuzzy Co-Location Pattern Mining Method Based on Interval Type-2 Fuzzy Sets
Applied Sciences, 2022 The goal of spatial co-location pattern mining is to find subsets of spatial features whose instances are often neighbors in a geographical space. In many practical cases, instances of spatial features contain not only spatial location information but ...
Jinyu Guo, Lizhen Wang
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Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis
Clinical eHealth, 2021 Diabetes is an ailment in which glucose level increase in at high rates in blood due to body’s inability to metabolize it. This happens when body does not produce sufficient amount of insulin or it does not respond to it properly.
Harshil Thakkar +3 more
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Network Traffic Anomaly Detection Algorithm Based on Intuitionistic Fuzzy Time Series Graph Mining
IEEE Access, 2020 Network traffic anomaly detection is an important technology in cyberspace security. Combining information entropy theory and a variable ordering heuristic intuitionistic fuzzy time series forecasting model, we present a traffic anomaly detection ...
Ya-Nan Wang +3 more
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ck-FARM: An R package to discover big data associations for business intelligence
SoftwareX, 2023 Fuzzy association rule mining (FARM) is a well-known data mining algorithm to identify frequently occurring patterns from datasets, in which the fuzzy set theory is applied to consider linguistic variables for building an explainable reasoning system. In
George To Sum Ho +3 more
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Construction of Student Information Management System Based on Data Mining and Clustering Algorithm
Complexity, 2021 Data mining is a new technology developed in recent years. Through data mining, people can discover the valuable and potential knowledge hidden behind the data and provide strong support for scientifically making various business decisions.
XueHong Yin
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Incremental Fuzzy Association Rule Mining for Classification and Regression
IEEE Access, 2019 The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real time.
Ling Wang, Qian Ma, Jianyao Meng
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Post-Analysis Framework for Mining Actionable Patterns Using Clustering and Genetic Algorithms
IEEE Access, 2019 Mining association rules is an important technique in data analysis. Many approaches for rule analysis have been designed to address different problems.
Chun-Hao Chen +3 more
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2018 STT Bandung merupakan perguruan tinggi swasta yang memiliki potensi besar untuk menjadi perguruan tinggi terkemuka di Kota Bandung. Untuk mencapai tujuan perguruan tinggi, salah satu tahap yang harus dilakukan adalah evaluasi kinerja karyawan, yakni ...
Nova Agustina, Prihandoko Prihandoko
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EDUCATIONAL FUZZY DATA-SETS AND DATA MINING IN A LINEAR FUZZY REAL ENVIRONMENT
Journal of Honai Math, 2019 Educational data mining is the process of converting raw data from educational systems to useful information that can be used by educational software developers, students, teachers, parents, and other educational researchers.
Frank Rogers
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