Intelligent mining of large-scale bio-data: Bioinformatics applications
| العنوان: | Intelligent mining of large-scale bio-data: Bioinformatics applications |
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| المؤلفون: | Gous Miah, Mahboobe Sadat Golestan Hashemi, Hamid Rastegari, Mohammad Hossein Nadimi Shahraki, Farzad Aslani, Mohd Rafii Yusop, Mohd Razi Ismail, Farahnaz Sadat Golestan Hashemi |
| المصدر: | Biotechnology & Biotechnological Equipment, Vol 32, Iss 1, Pp 10-29 (2018) |
| بيانات النشر: | Taylor & Francis Group, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 0301 basic medicine, Artificial architecture, Commonsense knowledge, Computer science, Bioinformatics, lcsh:Biotechnology, 02 engineering and technology, Marketing and artificial intelligence, intelligent knowledge discovery, InformationSystems_GENERAL, 03 medical and health sciences, lcsh:TP248.13-248.65, 0202 electrical engineering, electronic engineering, information engineering, Scale (chemistry), ComputingMethodologies_MISCELLANEOUS, data mining, artificial intelligence, Data science, ComputingMilieux_GENERAL, 030104 developmental biology, heuristic algorithms, 020201 artificial intelligence & image processing, Web intelligence, bio-data analysis, Biotechnology |
| الوصف: | Today, there is a collection of a tremendous amount of bio-data because of the computerized applications worldwide. Therefore, scholars have been encouraged to develop effective methods to extract the hidden knowledge in these data. Consequently, a challenging and valuable area for research in artificial intelligence has been created. Bioinformatics creates heuristic approaches and complex algorithms using artificial intelligence and information technology in order to solve biological problems. Intelligent implication of the data can accelerate biological knowledge discovery. Data mining, as biology intelligence, attempts to find reliable, new, useful and meaningful patterns in huge amounts of data. Hence, there is a high potential to raise the interaction between artificial intelligence and bio-data mining. The present paper argues how artificial intelligence can assist bio-data analysis and gives an up-to-date review of different applications of bio-data mining. It also highlights some future perspectives of data mining in bioinformatics that can inspire further developments of data mining instruments. Important and new techniques are critically discussed for intelligent knowledge discovery of different types of row datasets with applicable examples in human, plant and animal sciences. Finally, a broad perception of this hot topic in data science is given. |
| اللغة: | English |
| تدمد: | 1314-3530 1310-2818 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04537d4f1b2a664f317ac7478c4e0ff7 https://doaj.org/article/b7e086a8304840cc8270b0fa703624ce |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....04537d4f1b2a664f317ac7478c4e0ff7 |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 13143530 13102818 |
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