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Determinants of sexual health information-seeking on social media among Chinese college students: an application of the Comprehensive Model of Information Seeking. [PDF]
Front Public HealthFeng Z, He W, Xie J, Wang G, Lin W.
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Biomarkers and Emerging Approaches in Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NEN): Current Evidence and Future Directions. [PDF]
Cancers (Basel)D'Orazi G +3 more
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High-Frequency Utilization of the PICU*
Pediatric Critical Care Medicine, 2022OBJECTIVES: To describe the demographic, clinical, outcome, and cost differences between children with high-frequency PICU admission and those without. DESIGN: Retrospective, cross-sectional cohort study. SETTING: United States.
Julia A, Heneghan +3 more
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Fusion of diversified utility factors for high utility mining
Journal of Intelligent & Fuzzy Systems, 2022High utility mining is gaining prominence, and with the increasing set of business intelligence models, the scope of such significant practices is high. Rather than focusing only on profitability as one key utility metric, today’s organizations believe in having more robust levels of the multi-objective filtering process.
Abdullah Bokir, V. B. Narasimha
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International Journal of Information Technology & Decision Making, 2010
High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
Ying Liu 0039 +4 more
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High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
Ying Liu 0039 +4 more
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Mining of high‐utility itemsets with negative utility
Expert Systems, 2018AbstractHigh‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many algorithms have been proposed to discover HUIs. Most of the algorithms work only for itemsets with positive utility values. However, in the real world, items are found with both positive and negative utility values.
Kuldeep Singh 0003 +3 more
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Utility-Driven Mining of High Utility Episodes
2019 IEEE International Conference on Big Data (Big Data), 2019Sequence data, e.g., complex event sequence, is more commonly seen than other types of data (e.g., transaction data) in real-world applications. For the mining task from sequence data, several problems have been formulated, such as sequential pattern mining, episode mining, and sequential rule mining.
Wensheng Gan +3 more
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High-utility pattern mining: A method for discovery of high-utility item sets
Pattern Recognition, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jianying Hu, Aleksandra Mojsilovic
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Mining of top-k high utility itemsets with negative utility
Journal of Intelligent & Fuzzy Systems, 2021High utility itemset mining (HUIM) with negative utility is an emerging data mining task. However, the setting of the minimum utility threshold is always a challenge when mining high utility itemsets (HUIs) with negative items. Although the top-k HUIM method is very common, this method can only mine itemsets with positive items, and the problem of ...
Sun, Rui +4 more
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