Results 31 to 40 of about 17,851,865 (281)

Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns

IEEE Access
Ensemble models such as gradient boosting and random forests are proven to offer the best predictive performance on a wide variety of supervised learning problems.
Srikumar Krishnamoorthy
doaj   +1 more source

MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds

IEEE Access, 2018
High average-utility itemsets mining (HAUIM) is an emerging topic in data mining. Compared to traditional high utility itemset mining, HAUIM more fairly measures the utility of itemsets by considering their lengths (number of items).
Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger   +2 more
doaj   +1 more source

Efficient Algorithm for High Utility Pattern Mining Based on Top-k [PDF]

Jisuanji gongcheng, 2019
Getting the high utility pattern through user-specified threshold is inefficient,and the result of mining may not satisfy user’s needs.Therefore,an efficient Top-k pattern mining algorithm based on EFIM algorithm is proposed.The number of high utility ...
ZHAO Linliu,LV Xin,TAO Feifei
doaj   +1 more source

Mining of high average-utility patterns with item-level thresholds

, 2019
In this paper, we introduce a level-wise algorithm named High Average-Utility Itemset Mining with Multiple Minimum Average-Utility threshold (HAUIM-MMAU), which relies on a novel transaction-maximum utility downward closure (TMUDC) property and a concept
Zhang, Ji, Guo, Xiangmin, Li, Ting, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe   +4 more
core   +1 more source

Privately vertically mining of sequential patterns based on differential privacy with high efficiency and utility

Scientific Reports, 2023
Sequential pattern mining is one of the fundamental tools for many important data analysis tasks, such as web browsing behavior analysis. Based on frequent patterns, decision-makers can obtain both economic gains and social values.
Wenjuan Liang, Wenke Zhang, Songtao Liang, Caihong Yuan   +3 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

An Algorithm for Mining High Utility Sequential Patterns with Time Interval

Cybernetics and Information Technologies, 2019
Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy, Janos Demetrovics, Thi Vu Duc, Thang Nguyen Truong, Anh Tran The   +4 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

A single‐phase algorithm for mining high utility itemsets using compressed tree structures

ETRI Journal, 2021
Mining high utility itemsets (HUIs) from transaction databases considers such factors as the unit profit and quantity of purchased items. Two‐phase tree‐based algorithms transform a database into compressed tree structures and generate candidate patterns
Anup Bhat B, Harish SV, Geetha M
doaj   +1 more source

Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework

IEEE Access, 2022
Mining high utility sequential patterns is observed to be a significant research in data mining. Several methods mine the sequential patterns while taking utility values into consideration. The patterns of this type can determine the order in which items
Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad   +2 more
doaj   +1 more source