Results 141 to 150 of about 2,727,391 (196)
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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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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 +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 +4 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.
Hu, Jianying, Mojsilovic, Aleksandra
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Third IEEE International Conference on Data Mining, 2004
Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
null Raymond Chan +2 more
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Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
null Raymond Chan +2 more
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FULL-RCMA: A High Utilization EPON
IEEE Journal on Selected Areas in Communications, 2004This paper proposes an alternate solution for Ethernet passive optical networks. Our solution uses a novel protocol named full utilization local loop request contention multiple-access protocol to efficiently provide communications in passive optical networks.
Foh, CH +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.
Bokir, Abdullah, Narasimha, V.B
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High Utilizers of Psychiatric Emergency Services
Psychiatric Services, 2005The purpose of this study was to examine the sociodemographic and clinical characteristics of high utilizers of psychiatric emergency services.Data were collected over four years for 761 patients who were identified as high utilizers according to three definitions (two standard deviations above the mean number of visits to an urban psychiatric ...
Jagoda, Pasic +2 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 +3 more
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Efficient Method for Mining High-Utility Itemsets Using High-Average Utility Measure
2020Mining high-utility itemsets (HUIs) based on high-average utility measure is an important task in the data mining field. However, many of the existing algorithms are performing the mining process sequentially and do not utilize the widely available multi-core processors, thus requiring long execution times. To address this issue, we propose an extended
Loan Thi Thuy Nguyen +6 more
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