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CFOND: consensus factorization for co-clustering networked data
Networked data are common in domains where instances are characterized by both feature values and inter-dependency relationships. …
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Cost-sensitive parallel learning framework for insurance intelligence operation
Recent advancements in artificial intelligence (AI) are providing the insurance industry with new opportunities to create tailored …
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Identify topic relations in scientific literature using topic modeling
Over the past five years, topic models have been applied to bibliometrics research as an efficient tool for discovering latent and …
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IEEE access special section editorial: advanced data analytics for large-scale complex data environments
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Measuring distance-based semantic similarity using meronymy and hyponymy relations
The assessment of semantic similarity between lexical terms plays a critical part in semantic-oriented applications for natural …
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Social recommendation with evolutionary opinion dynamics
When users in online social networks make a decision, they are often affected by their neighbors. Social recommendation models utilize …
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Time series feature learning with labeled and unlabeled data
Time series classification has attracted much attention in the last two decades. However, in many real-world applications, the …
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A hybrid user experience evaluation method for mobile games
With the development of the mobile phone industry, mobile applications market becomes thriving. However, the immature information …
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A three-layered mutually reinforced model for personalized citation recommendation
Fast-growing scientific papers pose the problem of rapidly and accurately finding a list of reference papers for a given manuscript. …
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Advances in processing, mining, and learning complex data: From foundations to real-world applications
Processing, mining, and learning complex data refer to an advanced study area of data mining and knowledge discovery concerning the …
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