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13. 
Cover image for Big Data 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings
Big Data 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings
Author 
Jin, Hai. editor. Lin, Xuemin. editor. Cheng, Xueqi. editor. Shi, Xuanhua. editor. Xiao, Nong. editor.
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ONLINE
Electronic Access 
https://doi.org/10.1007/978-981-15-1899-7
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14. 
Cover image for Fundamentals of Image Data Mining Analysis, Features, Classification and Retrieval
Fundamentals of Image Data Mining Analysis, Features, Classification and Retrieval
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Zhang, Dengsheng. author. SpringerLink (Online service)
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ONLINE
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https://doi.org/10.1007/978-3-030-17989-2
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15. 
Cover image for Statistics and Data Science Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings
Statistics and Data Science Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings
Author 
Nguyen, Hien. editor. (orcid)0000-0002-9958-432X SpringerLink (Online service)
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ONLINE
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https://doi.org/10.1007/978-981-15-1960-4
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16. 
Cover image for Data Mining 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers
Data Mining 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers
Author 
Islam, Rafiqul. editor. (orcid)0000-0001-8317-5727 Koh, Yun Sing. editor. (orcid)0000-0001-7256-4049 Zhao, Yanchang. editor. Warwick, Graco. editor. Stirling, David. editor. (orcid)0000-0003-1219-2794
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Electronic Access 
https://doi.org/10.1007/978-981-13-6661-1
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17. 
Cover image for Applied Data Science Lessons Learned for the Data-Driven Business
Applied Data Science Lessons Learned for the Data-Driven Business
Author 
Braschler, Martin. editor. Stadelmann, Thilo. editor. (orcid)0000-0002-3784-0420 Stockinger, Kurt. editor. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-030-11821-1
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18. 
Cover image for Machine Learning, Optimization, and Data Science 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
Machine Learning, Optimization, and Data Science 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
Author 
Nicosia, Giuseppe. editor. Pardalos, Panos. editor. Giuffrida, Giovanni. editor. (orcid)0000-0001-5490-779X Umeton, Renato. editor. (orcid)0000-0002-5561-6932 Sciacca, Vincenzo. editor.
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https://doi.org/10.1007/978-3-030-13709-0
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19. 
Cover image for Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health International 2019 Cyberspace Congress, CyberDI and CyberLife, Beijing, China, December 16–18, 2019, Proceedings, Part II
Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health International 2019 Cyberspace Congress, CyberDI and CyberLife, Beijing, China, December 16–18, 2019, Proceedings, Part II
Author 
Ning, Huansheng. editor. (orcid)0000-0001-6413-193X SpringerLink (Online service)
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ONLINE
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https://doi.org/10.1007/978-981-15-1925-3
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20. 
Cover image for Data mining and machine learning in building energy analysis
Data mining and machine learning in building energy analysis
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Magoulès, F. (Frédéric), author. Zhao, Haixiang, 1973- author.
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ONLINE
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Wiley Online Library
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21. 
Cover image for Autonomous learning systems : from data streams to knowledge in real-time
Autonomous learning systems : from data streams to knowledge in real-time
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Angelov, Plamen P.
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ONLINE
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John Wiley http://dx.doi.org/10.1002/9781118481769
Safari Books Online http://proquest.safaribooksonline.com/?fpi=9781118481912
Wiley http://onlinelibrary.wiley.com/book/10.1002/9781118481769
ebrary http://site.ebrary.com/id/10657808
Volltext http://proquest.tech.safaribooksonline.de/9781118481912
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22. 
Cover image for The elements of statistical learning : data mining, inference, and prediction
The elements of statistical learning : data mining, inference, and prediction
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Hastie, Trevor. Tibshirani, Robert. Friedman, J. H. (Jerome H.)
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Q325.5 H39 2009
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23. 
Cover image for Machine learning for spatial environmental data theory, applications and software
Machine learning for spatial environmental data theory, applications and software
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Kanevski, Mikhail. Pozdnoukhov, Alexei. Timonin, Vadim.
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Distributed by publisher. Purchase or institutional license may be required for access.
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24. 
Cover image for Nonnegative matrix and tensor factorizations applications to exploratory multi-way data analysis and blind source separation
Nonnegative matrix and tensor factorizations applications to exploratory multi-way data analysis and blind source separation
Author 
Cichocki, Andrzej.
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Electronic Access 
Ebook Library http://public.eblib.com/EBLPublic/PublicView.do?ptiID=454312
John Wiley http://dx.doi.org/10.1002/9780470747278
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