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Mitigating the negative effect of intrabrand clustering: the role of interbrand clustering and firm size
Clustering—geographic concentrations of entities—has recently received more attention in marketing research and has been shown to affect multiple...
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A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data
Deep learning-based fault diagnosis models achieve great success with sufficient balanced data, but the imbalanced dataset in real industrial...
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Problem-driven scenario clustering in stochastic optimization
In stochastic optimisation, the large number of scenarios required to faithfully represent the underlying uncertainty is often a barrier to finding...
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ComStreamClust: a Communicative Multi-Agent Approach to Text Clustering in Streaming Data
Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share...
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A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis
The correlation clustering problem identifies clusters in a set of objects when the qualitative information about objects’ mutual similarities or...
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Unsupervised exceptional human action detection from repetition of human assembling tasks using entropy signal clustering
Applying Human Action Recognition (HAR) in manufacturing site to recognize the human assembling tasks, representing as repetitions of human actions,...
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Representing a Model for the Anonymization of Big Data Stream Using In-Memory Processing
In light of the escalating privacy risks in the big data era, this paper introduces an innovative model for the anonymization of big data streams,...
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An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network
Wireless sensor networks (WSNs) and Internet of Things (IoT) are essential for numerous applications. WSN nodes often operate on limited battery...
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Social Commerce Mobile Application Enhancement: a hybrid text clustering - topic modeling business model analysis
Social Commerce (S-commerce) is an emerging subset of e-commerce, enabled by Web 2.0, which is getting more attention due to the growing interest in...
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Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms
Analyzing data streams has received considerable attention over the past decades due to the widespread usage of sensors, social media and other...
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An Analytical Approach Towards Data Stream Processing on Smart Society for Sustainable Development
In real-time processing, stream has to be processed as soon as it’s generated. Data streams generated from IOT sensors are processed into a...
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Mining trips from location-based social networks for clustering travelers and destinations
It is important to learn the characteristics of travelers and touristic regions when trying to generate recommendations for destinations to users. In...
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Real-time user clickstream behavior analysis based on apache storm streaming
This paper presents an approach to analyzing consumers’ e-commerce site usage and browsing motifs through pattern mining and surfing behavior....
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Risk contagion of bank-firm loan network: evidence from China
Starting from Chinese A-listed firms’ loan announcements, this research creatively constructs a dynamic, variant-linkage, and more comprehensive...
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Who’s watching? Classifying sports viewers on social live streaming services
The newly emergent social live streaming services (SLSSs) provide the sport consumers with a synchronised and more interactive viewing experience. In...
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High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes
Countersink inspection is crucial in various automated assembly lines, especially in the aerospace and automotive sectors. Advancements in machine...
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Taking a closer look at the regionally clustered firms: How can ambidexterity explain the link between management, entrepreneurship, and innovation in a post-industrialized world?
The extant literature shows that innovation emerges from an interorganizational process, where a division of labor (both exploitation and exploration...
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Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs
Since IoT devices supporting business processes (BPs) in sectors like manufacturing, logistics or healthcare can collect data on the execution of the...
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Implementing AIRM: a new AI recruiting model for the Saudi Arabia labour market
One of the goals of Saudi Vision 2030 is to keep the unemployment rate at the lowest level to empower the economy. Prior research has shown that an...
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A novel curved surface profile monitoring approach based on geometrical-spatial joint feature
With the development of high-end manufacturing, a variety of sophisticated parts with complex curved surfaces have emerged, and curved surface...
