Results 221 to 230 of about 6,573,619 (301)
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Accident Analysis and Prevention, 2020
Although crashes involving hazardous material (HAZMAT) vehicles on expressways do not occur frequently compared with other types of vehicles, the number of lives lost and social damage is very high when a HAZMAT vehicle-involved crash occurs.
Jungyeol Hong +2 more
semanticscholar +1 more source
Although crashes involving hazardous material (HAZMAT) vehicles on expressways do not occur frequently compared with other types of vehicles, the number of lives lost and social damage is very high when a HAZMAT vehicle-involved crash occurs.
Jungyeol Hong +2 more
semanticscholar +1 more source
Market basket analysis with association rules
Communications in Statistics - Theory and Methods, 2020This study was conducted in order to make a Market Basket Analysis by using Association Rules. The data used in the study are the sales data of any supermarket received from the Vancouver Island University website.
Y. Ünvan
semanticscholar +1 more source
Combining association rules mining with complex networks to monitor coupled risks
Reliability Engineering & System Safety, 2019Due to geotechnical uncertainties, existing underground infrastructure, the construction of deep-pit foundations in dense urban areas is particularly challenging as there is a propensity for building and structural settlement to occur.
Ying Zhou +5 more
semanticscholar +1 more source
A hybrid temporal association rules mining method for traffic congestion prediction
Computers & industrial engineering, 2019Traffic congestion is a significant problem in the research field of Intelligent Transportation Systems. In this paper, a Hybrid Temporal Association Rules Mining method is proposed to predict traffic congestion.
Feng Wen +4 more
semanticscholar +1 more source
Information Sciences, 2019
Using association rules in classification is a great success which produces high accuracy classifiers. Even so, the principal advantage of the associative classifiers lies in interpretation.
Mohamed Azmi, G. Runger, A. Berrado
semanticscholar +1 more source
Using association rules in classification is a great success which produces high accuracy classifiers. Even so, the principal advantage of the associative classifiers lies in interpretation.
Mohamed Azmi, G. Runger, A. Berrado
semanticscholar +1 more source
A survey on association rules mining using heuristics
WIREs Data Mining Knowl. Discov., 2019Association rule mining (ARM) is a commonly encountred data mining method. There are many approaches to mining frequent rules and patterns from a database and one among them is heuristics.
S. Ghafari, Christos Tjortjis
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Association rules and decision rules
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2023AbstractDetermining association rules of significant interest is an essential task within data mining and statistical analysis. In this paper, we first precisely define the notion of association rule. For this, we introduce a general model, which includes the usual transaction model, and which allows many operations on the association rules.
Abdelkader Mokkadem +2 more
openaire +2 more sources
2023
Businesses are increasingly seeking to understand consumer behavior and purchasing habits in order to analyze the relationship between different products purchased by customers. By leveraging the association rule mining technique, businesses can identify complementary products and bundle them together to increase sales.
openaire +1 more source
Businesses are increasingly seeking to understand consumer behavior and purchasing habits in order to analyze the relationship between different products purchased by customers. By leveraging the association rule mining technique, businesses can identify complementary products and bundle them together to increase sales.
openaire +1 more source
Mining Causal Association Rules
2013 IEEE 13th International Conference on Data Mining Workshops, 2013Discovering causal relationships is the ultimate goal of many scientific explorations. Causal relationships can be identified with controlled experiments, but such experiments are often very expensive and sometimes impossible to conduct. On the other hand, the collection of observational data has increased dramatically in recent decades.
Jiuyong Li +5 more
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Ordinal Association Rules towards Association Rules
2003Intensity of inclination, an objective rule-interest measure, allows us to extract implications on databases without having to go through the step of transforming the initial set of attributes into binary attributes, thereby avoiding obtaining a prohibitive number of rules of little significance with many redundancies.
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