Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery(英文缩写 WIRES DATA MIN KNOWL),ISSN 1942-4787,eISSN 1942-4795 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 最新收录文献

1. The use of classification trees for bioinformatics.
   Xiang Chen, Minghui Wang, Heping Zhang
   Wiley interdisciplinary reviews. Data mining and knowledge discovery 2011 IF: 15.00 Q1 PMID: 22523608

   Classification trees are non-parametric statistical learning methods that incorporate feature selection and interactions, possess intuitive interpretability, are efficient, and have high prediction ac…

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2. Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia.
   Elizabeth Ford, Richard Milne, Keegan Curlewis
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 38439952

   Dementia poses a growing challenge for health services but remains stigmatized and under-recognized. Digital technologies to aid the earlier detection of dementia are approaching market. These include…

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3. A Survey on Artificial Intelligence in Pulmonary Imaging.
   Punam K Saha, Syed Ahmed Nadeem, Alejandro P Comellas
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 38249785

   Over the last decade, deep learning (DL) has contributed a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence in research as wel…

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4. Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics.
   Fernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, Jakub Kuzilek, Srecko Joksimovic, Vitomir Kovanovic
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 37502671

   The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstruc…

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5. Machine learning in postgenomic biology and personalized medicine.
   Animesh Ray
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 35966173

   In recent years Artificial Intelligence in the form of machine learning has been revolutionizing biology, biomedical sciences, and gene-based agricultural technology capabilities. Massive data generat…

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6. Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence.
   Abhijit Dasgupta, Abhisek Bakshi, Srijani Mukherjee, Kuntal Das, Soumyajeet Talukdar, Pratyayee Chatterjee
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 35942397

   World is now experiencing a major health calamity due to the coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus clade 2. The foremost challenge facing…

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7. Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota.
   Cuneyt Gurcan Akcora, Yulia R Gel, Murat Kantarcioglu
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 35865106

   Blockchain is an emerging technology that has enabled many applications, from cryptocurrencies to digital asset management and supply chains. Due to this surge of popularity, analyzing the data stored…

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8. Data mining of functional RNA structures in genomic sequences.
   Shu-Yun Le, Bruce A Shapiro
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 34306322

   The normal functions of genomes depend on the precise expression of messenger RNAs and noncoding RNAs (ncRNAs) such as transfer RNAs and microRNAs in eukaryotes. These ncRNAs and functional RNA struct…

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9. Causability and explainability of artificial intelligence in medicine.
   Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller
   Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 32089788

   Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the problem of explainability is as old as AI itself and classic AI represented comprehensible retraceabl…

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10. A comprehensive survey of error measures for evaluating binary decision making in data science.
    Frank Emmert-Streib, Salisou Moutari, Matthias Dehmer
    Wiley interdisciplinary reviews. Data mining and knowledge discovery IF: 15.00 Q1 PMID: 31656552

    Binary decision making is a topic of great interest for many fields, including biomedical science, economics, management, politics, medicine, natural science and social science, and much effort has be…

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