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Titlebook: Data Science and Analytics; 5th International Co Usha Batra,Nihar Ranjan Roy,Brajendra Panda Conference proceedings 2020 Springer Nature Si

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書(shū)目名稱(chēng)Data Science and Analytics
副標(biāo)題5th International Co
編輯Usha Batra,Nihar Ranjan Roy,Brajendra Panda
視頻videohttp://file.papertrans.cn/264/263075/263075.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Data Science and Analytics; 5th International Co Usha Batra,Nihar Ranjan Roy,Brajendra Panda Conference proceedings 2020 Springer Nature Si
描述This two-volume set (CCIS 1229 and CCIS 1230) constitutes the refereed proceedings of the 5th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2019, held in?Gurugram, India, in November 2019.?The 74 revised full papers presented were carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next generation computing; social and web analytics; security in data science analytics; big data analytics.?.
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; classification methods; communication systems; computer hardware; computer netw
版次1
doihttps://doi.org/10.1007/978-981-15-5827-6
isbn_softcover978-981-15-5826-9
isbn_ebook978-981-15-5827-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

書(shū)目名稱(chēng)Data Science and Analytics影響因子(影響力)




書(shū)目名稱(chēng)Data Science and Analytics影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Data Science and Analytics網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Data Science and Analytics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Data Science and Analytics被引頻次




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書(shū)目名稱(chēng)Data Science and Analytics讀者反饋




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Cok Bakker,Nicolina Montesano MontessoriIM, LIC, DTWC and SL have been considered for the generation of detection rules and are validated using 10-fold cross validation method. The machine learning algorithm JRip furnished the best result for the android smells up?to 90% overall precision, which is quite sufficient to justify the results.
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Introduction to Clinical Complexityor analysis is performed. The resultant dataset is prioritized for metabolic pathway analysis. In addition, functional annotation and subcellular localization is accomplished. The results reveal that 5 genes namely His6, FasA, PabaA, FtmA and erg6 might work as promising wide-spectrum drug targets f
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https://doi.org/10.1007/978-3-031-14949-8ues-Ensemble classifier, Logistic regression and K-Nearest Neighbors on Spatial Rich Model features extracted for benchmarked dataset BOSSbase_1.01, for the better discrimination of clean and stego images.
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https://doi.org/10.1007/978-3-031-14949-8lect the best curve fitting procedure for the mentioned set of inputs and outputs data there are no specific rules. The issue is of extraordinary intrigued in measurement and estimation applications. This paper reports on the implementation of a transducer modeling strategy based on an Artificial Ne
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