Please use this identifier to cite or link to this item: http://elea.unisa.it/xmlui/handle/10556/7308
Title: Statistical Learning for business decision making: from big data to informative data
Authors: Colosimo, Ivan
Amendola, Alessandra
La Rocca, Michele
Keywords: Informative Data;Big data application
Issue Date: 16-Jul-2023
Publisher: Universita degli studi di Salerno
Abstract: First, I would like to express my gratitude to my principal supervisor, Professor Michele La Rocca, for his continuous support and invaluable guidance throughout my executive doctoral study. It has been an immense privilege to be able to embark on this doctoral journey several years after completing my master's thesis. I finished my undergraduate studies in 2008 and never thought I would venture on this path 10 years later, moreover with a responsible job that occupies entire days (sometimes even weekends). If I managed to make it all coincide, I owe it to Prof. Michele La Rocca. Special thanks to Professor Maria Teresa Cuomo, who was also invaluable and indispensable for the publications we were able to produce, for her support on the topics more related to marketing, and for providing the working group with her network of knowledge that enabled me to produce the scientific publications. Thanks to Lorenzo Ricciardi Celsi, a colleague and friend who perhaps unintentionally was an incentive to emulate him. I would like to thank my wife for the stimulus to throw myself into this adventure, for spending many moments together at home, and for not making me burdened by the fact that we could have gone out instead of staying home to study. For standing by me in life. A final thanks to Roberto Sorrenti (my Manager) over the years of working at the ELIS Center. Without him, a PhD path did not exist in my mind. [edited by Author]
Description: 2021 - 2022
URI: http://elea.unisa.it/xmlui/handle/10556/7308
Appears in Collections:Economia e politiche dei mercati e delle imprese

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tesi di dottorato I. Colosimo.pdftesi di dottorato2,86 MBAdobe PDFView/Open
abstract in inglese I. Colosimo.pdfabstract a cura dell’autore (versione inglese)81,85 kBAdobe PDFView/Open


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