DATA_MINING

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Computational approaches for circRNA-disease association prediction:a review
《Frontiers of Computer Science》2025年第4期99-113,共15页Mengting NIU Yaojia CHEN Chunyu WANG Quan ZOU Lei XU 
supported by the National Natural Science Foundation of China(Grant Nos.62231013,62201129,62303328,62302341,62271329,62372332);the National Key R&D Program of China(2022ZD0117700);the National funded postdoctoral researcher program of China(GZC20230382);the Shenzhen Polytechnic University Research Fund(6024310027K,6022310036K,6023310037K);the Key Field of Department of Education of Guangdong Province(2022ZDZX2082);the Special Science Foundation of Quzhou(2023D036).
Circular RNA(circRNA)is a covalently closed RNA molecule formed by back splicing.The role of circRNAs in posttranscriptional gene regulation provides new insights into several types of cancer and neurological diseases...
关键词:circular RNA disease association prediction machine learning data mining deep learning 
Application of machine learning in astronomical spectral data mining
《Astronomical Techniques and Instruments》2025年第2期73-87,共15页Ting Zhang Hailong Zhang Yazhou Zhang Xu Du Wenna Cai Han Wu Yuyue Jiao Wanqiong Wang Jie Wang Xinchen Ye Jia Li 
supported by the National Key R&D Program of China(2021YFC2203502 and 2022YFF0711502);the National Natural Science Foundation of China(NSFC)(12173077);the Tianshan Talent Project of Xinjiang Uygur Autonomous Region(2022TSYCCX0095 and 2023TSYCCX0112);the Scientific Instrument Developing Project of the Chinese Academy of Sciences(PTYQ2022YZZD01);China National Astronomical Data Center(NADC);the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China(MOF)and administrated by the Chinese Academy of Sciences;Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A360).
Astronomical spectroscopy is crucial for exploring the physical properties,chemical composition,and kinematic behavior of celestial objects.With continuous advancements in observational technology,astronomical spectro...
关键词:Machine learning Neural networks Stellar atmospheric parameter prediction Stellar spectral classification 
Towards a Holistic and Intelligent Model of Care for Gender Dysphoria
《Tsinghua Science and Technology》2025年第2期624-632,共9页Maya Krayneva 
The gender-affirmative model of care has proven unsuccessful in many cases of gender dysphoria.There is a pressing need to continue research and develop and implement alternative models of care.Personalised models of ...
关键词:gender dysphoria holistic model of care personalised care Artificial Intelligence(AI) data mining multidimensional data 
Multi-Step Clustering of Smart Meters Time Series:Application to Demand Flexibility Characterization of SME Customers
《Computer Modeling in Engineering & Sciences》2025年第1期869-907,共39页Santiago Bañales Raquel Dormido Natividad Duro 
supported by the Spanish Ministry of Science and Innovation under Projects PID2022-137680OB-C32 and PID2022-139187OB-I00.
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’participation in the...
关键词:Electric load clustering load profiling smart meters machine learning data mining demand flexibility demand response 
GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers
《Journal of Social Computing》2024年第4期293-312,共20页Yuyi Yang Charles Alba Chenyu Wang Xi Wang Jami Anderson Ruopeng An 
supported in part by the Washington University Center for Diabetes Translation Research(WU-CDTR)under Grant Number P30DK092950 from the National Institute of Diabetes and Digestive and Kidney Diseases(NIDDK)。
Conducting thematic analysis in qualitative research can be laborious and time-consuming.We propose and evaluate the feasibility of using Generative Pre-trained Transformer(GPT)models to assist public health researche...
关键词:social computing applications in healthcare and public health ethnographic and qualitative methodologies machine learning data mining computational linguistics 
Consistency preserving database watermarking algorithm for decision trees
《Digital Communications and Networks》2024年第6期1851-1863,共13页Qianwen Li Xiang Wang Qingqi Pei Xiaohua Chen Kwok-Yan Lam 
supported by the National Key Research and Development Program of China under Grant 2021YFB2700600;the National Natural Science Foundation of China under Grant 62132013 and 61902292;the Key Research and Development Programs of Shaanxi under Grants 2021ZDLGY06-03;the Truth-Seeking Research Scholarship Fund of Xidian University。
Database watermarking technologies provide an effective solution to data security problems by embedding the watermark in the database to prove copyright or trace the source of data leakage.However,when the watermarked...
关键词:Consistency preserving Decision tree Database watermarking Data mining 
Intelligent Power Equipment for Autonomous Situational Awareness and Active Operation and Maintenance
《Journal of Modern Power Systems and Clean Energy》2024年第6期2081-2090,共10页Shice Zhao Hongshan Zhao 
The rapid development of the power system re-quires high reliability and real-time situational awareness of power equipment.The current agent-based condition-monitor-ing perception mode is not suitable for widely dist...
关键词:Intelligent power equipment perception mode data mining primary and secondary fusion situational awareness 
Significance and Predictive Classification Algorithms in Sentiment Analysis
《Journal of Harbin Institute of Technology(New Series)》2024年第6期37-48,共12页V Uma V Ganesh 
In recent times, an abrupt upswing has emerged within the data mining domain, particularly within the sphere of sentiment analysis. Encompassing diverse dimensions such as sentiment extraction, subjectivity categoriza...
关键词:data mining OM CLASSIFICATION 
Medication Rules of Hub Herb Pairs for Insomnia and Mechanism of Action:Results of Data Mining,Network Pharmacology,and Molecular Docking
《Chinese Medical Sciences Journal》2024年第4期249-260,共12页Wen-Long Guo Hui-Juan Jiang Yan-Rong Li Jin-Long Yang Yu-Chan Chen 
National Natural Science Foundation of China(82360905);Gansu Provincial University Teachers'Innovation Fund Projects(2023A-092 and 2024B-109).
Objective To explore the medication rules of traditional Chinese medicine(TCM)and mechanism of action of hub herb pairs for treating insomnia.Methods Totally 104 prescriptions were statistically analyzed.The associati...
关键词:medication rules mechanism INSOMNIA data mining herb pairs network pharmacology molecular docking 
Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation
《Underground Space》2024年第6期47-71,共25页Yupeng Cao Wei Luo Yadong Xue Weiren Lin Feng Zhang 
Research on automation and intelligent operation of tunnel boring machine(TBM)is receiving more and more attention,benefiting from the increasing construction data.However,most studies on TBM operations optimization w...
关键词:TBM Reinforcement learning TRANSFORMER Data mining 
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