Results 1 to 10 of about 161,462 (303)
Detection of Fuzzy Association Rules by Fuzzy Transforms [PDF]
We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
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Incremental maintenance of discovered fuzzy association rules
Fuzzy association rules (FARs) are a recognized model to study existing relations among data, commonly stored in data repositories. In real-world applications, transactions are continuously processed with upcoming new data, rendering the discovered rules information inexact or obsolete in a short time.
A. Pérez-Alonso +3 more
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Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari +2 more
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Association rules of fuzzy soft set based classification for text classification problem
Text classification is imperative in order to search for more accessible and appropriate information. It utilized in various fields, including marketing, security, biomedical, etc.
Dede Rohidin +2 more
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Developing a Course Recommender by Combining Clustering and Fuzzy Association Rules [PDF]
Each semester, students go through the process of selecting appropriate courses. It is difficult to find information about each course and ultimately make decisions.
Sh. Asadi +2 more
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Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
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 +3 more
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A Fuzzy Close Algorithm for Mining Fuzzy Association Rules [PDF]
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 +2 more
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Due to rapid information technology growth, teaching Chinese in higher education has changed, and Chinese literary majors have vigorously evolved.
Fei Teng
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Efficient mining fuzzy association rules from ubiquitous data streams
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 +2 more
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Creating Personalized Higher Education Teaching System Using Fuzzy Association Rule Mining
Universities and colleges aim to provide students with a solid academic foundation. Quality instruction is one strategy for achieving the highest possible standard in the higher education system.
Dezhi Li
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