[HTML][HTML] A review of possible effects of cognitive biases on interpretation of rule-based machine learning models
While the interpretability of machine learning models is often equated with their mere
syntactic comprehensibility, we think that interpretability goes beyond that, and that human …
syntactic comprehensibility, we think that interpretability goes beyond that, and that human …
On interestingness measures of formal concepts
Formal concepts and closed itemsets proved to be of big importance for knowledge
discovery, both as a tool for concise representation of association rules and a tool for …
discovery, both as a tool for concise representation of association rules and a tool for …
Artificial intelligence for BIM content management and delivery: Case study of association rule mining for construction detailing
Abstract The proliferation of Building Information Modeling (BIM) applications, in tandem
with the extensive variation of building products, pose new demands on design and …
with the extensive variation of building products, pose new demands on design and …
An interpretable automated feature engineering framework for improving logistic regression
Although black-box models such as ensemble learning models often provide better
predictive performance than intrinsic interpretable models such as logistic regression, black …
predictive performance than intrinsic interpretable models such as logistic regression, black …
Judging similarity: a user-centric study of related item recommendations
Related item recommenders operate in the context of a particular item. For instance, a music
system's page about the artist Radio-head might recommend other similar artists such as …
system's page about the artist Radio-head might recommend other similar artists such as …
The relationship between design patterns and code smells: An exploratory study
Context—Design patterns represent recommended generic solutions to various design
problems, whereas code smells are symptoms of design issues that could hinder further …
problems, whereas code smells are symptoms of design issues that could hinder further …
[HTML][HTML] Data mining approach for arranging and clustering the agro-tourism activities in orchard
The paper attains to finding the association among interested activities in orchard that
stimulate the tourists to travel. The knowledge obtained in this study is applying data mining …
stimulate the tourists to travel. The knowledge obtained in this study is applying data mining …
Privacy preserving rule-based classifier using modified artificial bee colony algorithm
E Zorarpacı, SA Özel - Expert Systems with Applications, 2021 - Elsevier
Privacy preserving data mining is a hot research field of data mining. The aim of privacy
preserving data mining is to prevent the leakage of the sensitive information of individuals …
preserving data mining is to prevent the leakage of the sensitive information of individuals …
Rule-based knowledge graph completion with canonical models
Rule-based approaches have proven to be an efficient and explainable method for
knowledge base completion. Their predictive quality is on par with classic knowledge graph …
knowledge base completion. Their predictive quality is on par with classic knowledge graph …
Causal and interpretable rules for time series analysis
The number of complex infrastructures in an industrial setting is growing and is not immune
to unexplained recurring events such as breakdowns or failure that can have an economic …
to unexplained recurring events such as breakdowns or failure that can have an economic …