Results 41 to 50 of about 146,160 (266)

NOx Emission Prediction of Coal Fired Utility Boiler Based on FAR-HK-ELM

Taiyuan Ligong Daxue xuebao, 2021
A prediction method for NOx emission of coal-fired utility boiler based on FAR-HK-ELM was proposed by combining the Fast Attribute Reduction (FAR) and Hybrid Kernel Extreme Learning Machine (HK-ELM) algorithms.
Wenhua FU, Jun XIE, Mifeng REN, Xinying XU, Gaowei YAN   +4 more
doaj   +1 more source

Decision Implication Preserving Attribute Reduction in Decision Context [PDF]

Jisuanji kexue
Formal concept analysis is a theory of data analysis using concept lattice,and attribute reduction is one of the main ways of concept lattice reduction.Decision implication is a knowledge representation and reasoning model of formal concept analysis in ...
BI Sheng, ZHAI Yanhui, LI Deyu
doaj   +1 more source

Incremental Attribute Reduction Algorithm Based on Binary Discernibility Matrix [PDF]

Jisuanji gongcheng, 2017
Incremental attribute reduction algorithm is one of the important research contents in the area of dyanmic data mining.To reduce the storage space of binary discernibility matrix,and by combining the advantages of the binary discernibility matrix that it
DING Mianwei,ZHANG Tengfei,MA Fumin
doaj   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source

Attribute Reduction Algorithm Based on Structure Discernibility Matrix in Composite Information Systems

ITM Web of Conferences, 2017
Attribute reduction, as an important preprocessing step for knowledge acquiring in data mining, is one of the key issues in rough set theory. It can only deal with attributes of a specific type in the information system by using a specific binary ...
Ge Mei-Jun, Fan Nian-Bai, Sun Tao
doaj   +1 more source

Incremental Algorithm for Attribute Reduction Based on Positive Region and Discernibility Element [PDF]

Jisuanji gongcheng, 2016
The reduction result should be updated continually with the dynamic changing of data in decision table.In order to improve the efficiency of attribute reduction while ensuring the simplest results,an improved decision table reduction algorithm is ...
LIU Taotao,MA Fumin,ZHANG Tengfei
doaj   +1 more source

A Novel Multi-Criteria Decision-Making Method Based on Rough Sets and Fuzzy Measures

Axioms, 2022
Rough set theory provides a useful tool for data analysis, data mining and decision making. For multi-criteria decision making (MCDM), rough sets are used to obtain decision rules by reducing attributes and objects.
Jingqian Wang, Xiaohong Zhang
doaj   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

TFD-IIS-CRMCB: Telecom Fraud Detection for Incomplete Information Systems Based on Correlated Relation and Maximal Consistent Block

Entropy, 2023
Telecom fraud detection is of great significance in online social networks. Yet the massive, redundant, incomplete, and uncertain network information makes it a challenging task to handle.
Ran Li, Hongchang Chen, Shuxin Liu, Kai Wang, Biao Wang, Xinxin Hu   +5 more
doaj   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source