Exploring Similarity Relations According to Different Contexts in Mining Generalized Association Rules

Ayres, Rodrigo Moura Juvenil; Santos, Marilde Terezinha Prado

doi:10.1007/978-3-642-40654-6_9

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Refs. [39][40][41][42] use domain ontologies to increase the usefulness of association rules in data mining. This approach to ontologies is mainly based on pruning and filtering the rules, thus strengthening the integration of user input in post-processing.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Consumer Behavior Analysis Framework toward Improving Market Performance Indicators: Saudi’s Retail Sector as a Case Study

Alawadh,

Barnawi

2024

JTAER

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Studying customer behavior and anticipating future trends is a challenging task, as customer behavior is complex and constantly evolving. To effectively anticipate future trends, businesses need to analyze large amounts of data, use sophisticated analytical techniques, and stay up-to-date with the latest research and industry trends. In this paper, we propose a comprehensive framework to identify trends in consumer behavior using multiple layers of processing, including clustering, classification, and association rule learning. The aim is to help a major retailer in Saudi Arabia better understand customer behavior by utilizing the power of big data analysis. The proposed framework is presented as being generalized to gain insight into the generated big data and enable data-driven decision-making in other relevant domains. We developed this framework in collaboration with a large supermarket chain in Saudi Arabia, which provided us with over 1,000,000 sales transaction records belonging to around 30,000 of their loyal customers. In this study, we apply our proposed framework to those data as a case study and present our initial results of consumer clustering and association rules for each cluster. Moreover, we analyze our findings to figure out how we can further utilize intelligence to predict customer behavior in clustered groups.

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Section: Literature Reviewmentioning

confidence: 99%

“…Ontologies [39][40][41][42] Reducing the number of rules that need to be explored iteratively includes the user's knowledge during the post-processing.…”

Section: Summarizationmentioning

confidence: 99%

A Consumer Behavior Analysis Framework toward Improving Market Performance Indicators: Saudi’s Retail Sector as a Case Study

Alawadh,

Barnawi

2024

JTAER

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“…Therefore, the test adopts the loose similarity between the model system and the prototype system, and the gravity distortion is allowed [19]. On the basis of determining the basic parameters of basic length ðC l = 1/100Þ, mass density ðC ρ = 1Þ, and elastic modulus ðC E = 1/100Þ, similarity ratios of other physical quantities are derived based on Buckingham π theorem [20]. According to the similitude relationship of the physical conditions, geometric conditions, dynamic equilibrium conditions, etc., the similitude relationships are expressed as Equations ( 1)-( 6) [21].…”

Section: Design Of Shaking Table Model Testmentioning

confidence: 99%

Analysis of Seismic Damage Modes of Landslides Containing Tunnels under Horizontal Earthquake Action

Sun

Wu²,

et al. 2022

Geofluids

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With the vigorous development of railway and highway construction, tunnel construction often follows the mountains and rivers, crossing high-intensity landslide areas, and potential earthquakes triggering damage in areas including tunnel landslides have become a hot issue today. Based on this, this paper performs a shaker test on the tunnel-containing landslide body, inputs horizontal seismic waves, and tests the acceleration response data of different bits in the landslide body. By analyzing the temporal and frequency domain transformations of the acceleration response at different positions in the slope body combined with the deformation characteristics of the slope, and then analyzing the seismic response of the slope under the action of the front and back seismic sequences, the results show that (1) the existence of the tunnel has the effect of energy dissipation and vibration reduction, making the energy input at T8, and the measuring point on the upper part of the tunnel at the lowest. (2) When the seismic wave is transmitted, it will cause reflection around the tunnel, forming complex seismic wave field, resulting in the irregular distribution of acceleration amplification coefficient. (3) There is a high correlation between seismic responses of different levels. When the acceleration response of the preseismic response to the landslide-containing tunnel is not considered, the acceleration response of the postseismic response to the slope and the structure will be lower than the real value. (4) The sequence of failure at different locations of landslide mass containing tunnel is found through marginal spectrum analysis. It is concluded that the failure mode of landslide mass with tunnel is extrusion and sliding out of the middle slope. The research results can provide some reference for the reinforcement design of landslide with tunnel in high-intensity area.

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Dynamic response and failure mode of the twin tunnel-landslide using shaking table tests

Lei

Qian²,

Wu³

2023

Acta Geotech.

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Exploring Similarity Relations According to Different Contexts in Mining Generalized Association Rules

Cited by 7 publications

References 6 publications

A Consumer Behavior Analysis Framework toward Improving Market Performance Indicators: Saudi’s Retail Sector as a Case Study

A Consumer Behavior Analysis Framework toward Improving Market Performance Indicators: Saudi’s Retail Sector as a Case Study

Analysis of Seismic Damage Modes of Landslides Containing Tunnels under Horizontal Earthquake Action

Dynamic response and failure mode of the twin tunnel-landslide using shaking table tests

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