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1

Raj, Pethuru, Anupama Raman, Dhivya Nagaraj, and Siddhartha Duggirala. High-Performance Big-Data Analytics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20744-5.

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2

Arora, Ritu, ed. Conquering Big Data with High Performance Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33742-5.

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3

Grandinetti, Lucio, Seyedeh Leili Mirtaheri, and Reza Shahbazian, eds. High-Performance Computing and Big Data Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33495-6.

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4

Kołodziej, Joanna, and Horacio González-Vélez, eds. High-Performance Modelling and Simulation for Big Data Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16272-6.

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5

Pirozzoli, Sergio, and Tapan K. Sengupta, eds. High-Performance Computing of Big Data for Turbulence and Combustion. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17012-7.

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6

Kasim, Adetayo, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, and Willem Talloen, eds. Applied Biclustering Methods for Big and High-Dimensional Data Using R. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/9781315373966.

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7

Kuldova, Tereza Østbø, Helene Oppen Ingebrigtsen Gundhus, and Christin Thea Wathne, eds. Policing and Intelligence in the Global Big Data Era, Volume I. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68326-8.

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8

Kuldova, Tereza Østbø, Helene Oppen Ingebrigtsen Gundhus, and Christin Thea Wathne, eds. Policing and Intelligence in the Global Big Data Era, Volume II. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68298-8.

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9

E, Berki Sylvester, and National Center for Health Statistics (U.S.), eds. High-volume and low-volume users of health services, United States, 1980. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

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10

Hawaii. Department of Health, ed. Spurious high birth defect rate on the Island of Lanai and an unexpected indication of a high incidence of advers pregnancy outcomes in Kohala on the big island. Research and Statistics Office, Hawaii State Department of Health, 1986.

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11

High-Performance Big Data Computing. MIT Press, 2022.

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12

Wang, Chao, ed. High Performance Computing for Big Data. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315155524.

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13

Wang, Chao. High Performance Computing for Big Data. Taylor & Francis Group, 2020.

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14

Italy) International Research Workshop On Advanced High Performance Computing Systems (2014 : Cetraro and G. R. (gerhard Robert) Joubert. Big Data And High Performance Computing. Ios Press,, 2015.

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15

PhD, Khosrow Hassibi. High Performance Data Mining and Big Data Analytics: The Story of Insight from Big Data. Createspace Independent Publishing Platform, 2014.

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16

Arora, Ritu. Conquering Big Data with High Performance Computing. Springer London, Limited, 2016.

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17

Arora, Ritu. Conquering Big Data with High Performance Computing. Springer, 2018.

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18

Arora, Ritu. Conquering Big Data with High Performance Computing. Springer International Publishing AG, 2016.

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19

Koch, Inge. Analysis of Multivariate and High-Dimensional Data. University of Cambridge ESOL Examinations, 2014.

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20

Big Data and Data Science Engineering: Volume 6. Springer, 2024.

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21

Raj, Pethuru, Anupama Raman, Dhivya Nagaraj, and Siddhartha Duggirala. High-Performance Big-Data Analytics: Computing Systems and Approaches. Springer International Publishing AG, 2015.

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22

Raj, Pethuru, Anupama Raman, Dhivya Nagaraj, and Siddhartha Duggirala. High-Performance Big-Data Analytics: Computing Systems and Approaches. Springer, 2015.

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23

Raj, Pethuru, Anupama Raman, Dhivya Nagaraj, and Siddhartha Duggirala. High-Performance Big-Data Analytics: Computing Systems and Approaches. Springer International Publishing AG, 2016.

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24

High Performance Computing for Big Data: Methodologies and Applications. Taylor & Francis Group, 2017.

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25

High Performance Computing for Big Data: Methodologies and Applications. Taylor & Francis Group, 2017.

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26

Wang, Chao. High Performance Computing for Big Data: Methodologies and Applications. Taylor & Francis Group, 2017.

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27

Wang, Chao. High Performance Computing for Big Data: Methodologies and Applications. Taylor & Francis Group, 2017.

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28

Wang, Chao. High Performance Computing for Big Data: Methodologies and Applications. Taylor & Francis Group, 2017.

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29

High volume data storage architecture analysis: Final report. Southwest Research Institute, 1990.

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30

Khalid, Osman, Samee U. Khan, and Albert Y. Zomaya, eds. Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trust. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbpc035f.

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31

Espinosa, J. Alberto, Willilam H. Money, Stephen H. Kaisler, and Frank Armour. Obtaining Value from Big Data for Service Systems, Volume II: Big Data Technology. Business Expert Press, 2019.

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32

Espinosa, J. Alberto, Willilam H. Money, Stephen H. Kaisler, and Frank Armour. Obtaining Value from Big Data for Service Systems, Volume I: Big Data Management. Business Expert Press, 2019.

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33

Khan, Samee U., Albert Y. Zomaya, and Osman Khalid. Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust, Volume 1. Institution of Engineering & Technology, 2019.

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34

Giraud, Christophe. Introduction to High-Dimensional Statistics. CRC Press LLC, 2021.

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35

Sengupta, Tapan K., and Sergio Pirozzoli. High-Performance Computing of Big Data for Turbulence and Combustion. Springer, 2019.

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36

L., Joubert, G.r., Kunze, M., Pascucci, V. Grandinetti. Big Data And High Performance Computing (advances In Parallel Computing). Ios Press, 2015.

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37

Sengupta, Tapan K., and Sergio Pirozzoli. High-Performance Computing of Big Data for Turbulence and Combustion. Springer International Publishing AG, 2020.

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38

Khan, Samee U., Albert Y. Zomaya, and Osman Khalid. Big Data Recommender Systems: 2 Volume Set. Institution of Engineering & Technology, 2019.

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39

Talloen, Willem, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, and Adeyto Kasim. Applied Biclustering Methods for Big and High-Dimensional Data Using R. Taylor & Francis Group, 2020.

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40

Talloen, Willem, Ziv Shkedy, Sebastian Kaiser, Adetayo Kasim, and Sepp Hochreiter. Applied Biclustering Methods for Big and High-Dimensional Data Using R. Taylor & Francis Group, 2016.

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41

Applied Biclustering Methods for Big and High-Dimensional Data Using R. Taylor & Francis Group, 2016.

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42

Talloen, Willem, Ziv Shkedy, Sebastian Kaiser, Adetayo Kasim, and Sepp Hochreiter. Applied Biclustering Methods for Big and High-Dimensional Data Using R. Taylor & Francis Group, 2016.

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43

Talloen, Willem, Ziv Shkedy, Sebastian Kaiser, Adetayo Kasim, and Sepp Hochreiter. Applied Biclustering Methods for Big and High Dimensional Data Using R. Taylor & Francis Group, 2016.

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44

Talloen, Willem, Ziv Shkedy, Sebastian Kaiser, Adetayo Kasim, and Sepp Hochreiter. Applied Biclustering Methods for Big and High-Dimensional Data Using R. Taylor & Francis Group, 2016.

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45

Ravi, Vadlamani, and Aswani Kumar Cherukuri, eds. Handbook of Big Data Analytics. Volume 1: Methodologies. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbpc037f.

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46

Khalid, Osman, Samee U. Khan, and Albert Y. Zomaya, eds. Big Data Recommender Systems - Volume 2: Application Paradigms. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbpc035g.

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47

Khan, Samee U., Albert Y. Zomaya, and Osman Khalid. Big Data Recommender Systems: Application Paradigms, Volume 2. Institution of Engineering & Technology, 2019.

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48

Ravi, Vadlamani, and Aswani Kumar Cherukuri. Handbook of Big Data Analytics: Methodologies, Volume 1. Institution of Engineering & Technology, 2021.

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49

Ravi, Vadlamani, and Aswani Kumar Cherukuri. Handbook of Big Data Analytics: 2 Volume Set. Institution of Engineering & Technology, 2021.

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50

Choo, Kim-Kwang Raymond, and Darren Quick. Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging. Springer, 2018.

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