Pitanje br. 18025
 
Pitanje: 
 Predictive analytics in forecasting trends in making investment decisions
Odgovor: 
 KNJIGE:

  1. Kelleher, John D. Duboko učenje. Zagreb : Mate, 2021. - sign. 004 /KEL/ d

  2. Dedi, Lidija. Investicijska analiza : priručnik sa zadacima za vježbu. Zagreb : Ekonomski fakultet, 2018. - sign. 330.3(075.8) /DED/ i

  3. Orsag, Silvije. Investicijska analiza. Zagreb : Avantis, 2015. - sign. 330.3(075.8) /ORS/ i

  4. Čulo, Ksenija. Ekonomika investicijskih projekata. Osijek : Građevinski fakultet, 2010. - sign. 330.3(075.8) /ČUL/ e

  5. Klepac, Goran. Primjena inteligentnih računalnih metoda u menedžmentu. Zagreb : Sinergija-nakladništvo, 2001. - sign. 65.01 /KLE/ p

  6. Novaković, Branko. Umjetne neuronske mreže. Zagreb : Fakultet strojarstva i brodogradnje, 1998. - sign. 007 /NOV/ u OP

  7. Gaynor, Patricia E. Introduction to time-series modeling and forecasting in business and economics. New York : McGraw-Hill, cop. 1994. - sign.  65.01=20 /GAY/ i


ČLANCI U ČASOPISIMA:


  1. Banov, Reni... [et al.]. Neuronske mreže za početnike. // Poučak. - 23 (2022), 90 ; str. 24-34

  2. Dragičević, Marija. Neuronske mreže i analitički hijerarhijski proces u segmentaciji turističkog tržišta. // Ekonomska misao i praksa. - 15 (2006), 1 ; str. 81-100


INTERNETSKI IZVORI (24.02.2023.):


  1. Chhajer, Parshv... [et al.]. The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction. // Decision Analytics Journal. - 2 (2022) ; str. 1-12. URL: https://www.sciencedirect.com/science/article/pii/S2772662221000102

  2. Lee, Chee Sun... [et al.]. Predictive analytics in business analytics: decision tree. // Advances in Decision Sciences. - 26 (2022), 1 ; str. 1-29. URL: https://www.proquest.com/docview/2674049708?pq-origsite=gscholar&fromopenview=true

  3. Brynjolfsson, Erik... [et al.]. The power of prediction: predictive analytics, workplace complements, and business performance. // Business Economics. - 56 (2021) ; str. 217-239. URL: https://dspace.mit.edu/bitstream/handle/1721.1/137842/11369_2021_224_ReferencePDF.pdf?sequence=1&isAllowed=y

  4. Maiti, Moinak. Quantile regression, asset pricing and investment decision. // IIMB Management Review. - 33 (2021), 1 ; str. 28-37. URL: https://www.sciencedirect.com/science/article/pii/S0970389621000203

  5. Cindrić, Mateo. Primjena neuronskih mreža za predviđanje ekonomskog rasta: diplomski rad. Zagreb: Mateo Cindrić, 2018. URL: https://repozitorij.foi.unizg.hr/islandora/object/foi:3775/datastream/PDF/download

  6. Kumar, Vaibhav... [et al.]. Predictive analytics: a review of trends and techniques. // International Journal of Computer Applications. - 182 (2018), 1 ; str. 31-37. URL: https://www.researchgate.net/profile/Vaibhav-Kumar-16/publication/326435728_Predictive_Analytics_A_Review_of_Trends_and_Techniques/links/5c484f6692851c22a38a6027/Predictive-Analytics-A-Review-of-Trends-and-Techniques.pdf

  7. Poornima, Selvaraj... [et al.]. A survey of predictive analytics using big data with data mining. // International journal of bioinformatics research and applications. - 14 (2018), 3 ; str. 269-282. URL: https://www.researchgate.net/profile/Poornima-Selvaraj/publication/326071541_A_survey_of_predictive_analytics_using_big_data_with_data_mining/links/5c51132f92851c22a39a385b/A-survey-of-predictive-analytics-using-big-data-with-data-mining.pdf

  8. Sigo, Marxia Oli... [et al.]. Big data analytics-application of artificial neural network in forecasting stock price trends in India. // Academy of Accounting and Financial Studies. - 22 (2018), 3 ; str. 1-13. URL: https://www.researchgate.net/profile/Marxia-Sigo/publication/326098638_Big_Data_Analytics_-_Application_of_Artificial_Neural_Network_in_Forecasting_Stock_Price_Trends_in_India/links/5b38e9fa0f7e9b0df5e241f7/Big-Data-Analytics-Application-of-Artificial-Neural-Network-in-Forecasting-Stock-Price-Trends-in-India.pdf

  9. Blackburn, Robert... [et al.]. A predictive analytics approach for demand forecasting in the process industry. // International Transactions in Operational Research. - 22 (2015), 3 ; str. 407-428. URL: https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.12122

  10. Aghababaeyan, Reza... [et al.]. Forecasting the Tehran Stock Market by artificial neural network. // International Journal of Advanced Computer Science and Applications, Special Issue on Artificial Intelligence. - (2011) ; str. 13-17. URL: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=01852cca74a0a529fd8a304e118df419e6b69c54#page=21
UDK pojmovi: 
33 Ekonomija
Predmetnice: 
 Investicije -- Financiranje, Neuronske mreže, Umjetna inteligencija -- Primjena