A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks
The growing complexity of software projects requires increasing consideration of their
analysis and testing. Identifying defective software entities is essential for software quality …
analysis and testing. Identifying defective software entities is essential for software quality …
S PRAR: A novel relational association rule mining classification model applied for academic performance prediction
This paper analyses the problem of predicting students' academic performance, a subject
that is increasingly investigated within the Educational Data Mining literature. For a better …
that is increasingly investigated within the Educational Data Mining literature. For a better …
A novel concurrent relational association rule mining approach
Data mining techniques are intensively used to uncover relevant patterns in large volumes
of complex data which are continuously extended with newly arrived data instances …
of complex data which are continuously extended with newly arrived data instances …
[Retracted] Information Reconstruction of Student Management Work Based on Association Rules Mining
Y **ang, C Shuai, Y Li, Y Zhang - Computational Intelligence …, 2022 - Wiley Online Library
In recent years, as the country has paid more and more attention to the education,
informatization of student management has become more and more important. This article …
informatization of student management has become more and more important. This article …
Software defect prediction using a hybrid model based on semantic features learned from the source code
Software defect prediction has extensive applicability thus being a very active research area
in Search-Based Software Engineering. A high proportion of the software defects are caused …
in Search-Based Software Engineering. A high proportion of the software defects are caused …
Design of data mining system for sports training biochemical indicators based on artificial intelligence and association rules
D Liu - International Journal of Data Mining and …, 2024 - inderscienceonline.com
Physiological indicators are an important basis for reflecting the physiological health status
of the human body and play an important role in medical practice. Association rules have …
of the human body and play an important role in medical practice. Association rules have …
An improved approach to software defect prediction using a hybrid machine learning model
Software defect prediction is an intricate but essential software testing related activity. As a
solution to it, we have recently proposed HyGRAR, a hybrid classification model which …
solution to it, we have recently proposed HyGRAR, a hybrid classification model which …
[PDF][PDF] Tourist information-seeking behaviours using association rule mining
The evolution of information technology and social media today affects the behaviour and
expectations of tourist knowledge and information-seeking. Proper answers can enhance …
expectations of tourist knowledge and information-seeking. Proper answers can enhance …
[PDF][PDF] A parallel method for mining frequent patterns with multiple minimum support thresholds
Frequent pattern mining plays an important role in data mining. It has been widely applied in
many fields such as trade, medicine and customer services. Many effective methods were …
many fields such as trade, medicine and customer services. Many effective methods were …
Incremental relational association rule mining of educational data sets
LM CRIVEI - Studia Universitatis Babeș-Bolyai Informatica, 2018 - 193.231.18.162
Abstract Educational Data Mining is an attractive research field in which the underlying idea
is that of bringing the data mining perspective into educational environments. The main …
is that of bringing the data mining perspective into educational environments. The main …