Data Analytics - Technology bibliographies - in Harvard style

In-text: (Cirillo, 2017)

Your Bibliography: Cirillo, A., 2017. R data mining. Packt Publishing.

In-text: (Larose and Larose, 2015)

Your Bibliography: Larose, D. and Larose, C., 2015. Data mining and predictive analytics. 2nd ed. Hoboken (NJ): Wiley.

In-text: (Martinez, Viles and G. Olaizola, 2021)

Your Bibliography: Martinez, I., Viles, E. and G. Olaizola, I., 2021. Data Science Methodologies: Current Challenges and Future Approaches. Big Data Research, [online] 24, p.100183. Available at: <https://libstaff.primo.exlibrisgroup.com/permalink/44STA_INST/pjvetk/cdi_crossref_primary_10_1016_j_bdr_2020_100183> [Accessed 14 October 2022].

In-text: (Miner, Elder and Nisbet, 2009)

Your Bibliography: Miner, G., Elder, J. and Nisbet, R., 2009. Handbook of Statistical Analysis and Data Mining Applications. Elsevier Science.

In-text: (Moyle and Jorge, 2001)

Your Bibliography: Moyle, S. and Jorge, A., 2001. RAMSYS - A methodology for supporting rapid remote collaborative data mining projects. ECML/PKDD01 Workshop: Integrating Aspects of Data Mining, Decision Support and Meta-learning (IDDM-2001), [online] 64. Available at: <https://kt.ijs.si/branko_kavsek/IDDM-2001_submissions/Moyle.pdf> [Accessed 14 October 2022].

In-text: (Stirrup and Ramos, 2017)

Your Bibliography: Stirrup, J. and Ramos, R., 2017. Advanced Analytics with R and Tableau. Packt Publishing.