Pennacchioli, Diego (2014) Big data, complex networks and markets. Advisor: Giannotti, Dr. Fosca. Coadvisor: Pedreschi, Prof. Dino . pp. 168. [IMT PhD Thesis]
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Abstract
This thesis is focused on the study of new techniques of analysis coming from diverse fields (Complex Networks Analysis, Data Mining, and Big Data). Main aim is to better understand systems characterized by a high level of complexity. Markets are the chosen application scenario. In these complex systems, to find the right balance between the forces of demand and supply is very challenging, especially considering that they are characterized by imperfect but massive and fast information. In this context, the thesis presents approaches to face several open questions: how to find the general pattern of shopping behavior, how to mine the product space to find the best product/service that meets the demand, what is the role of the social influence between customers, and so on. The methods and techniques, belonging to the field of Complex Networks Analysis, are complementary to the usual ones of Data Mining. While in Data Mining the purpose is to search patterns and special distributions in a large dataset, here the purpose is to give a focus to the relations between entities of the markets, looking more to the whole system than to the single behavior. The thesis, finally, presents results of experiments performed on real world high quality datasets, providing, in addition to the theoretic results, practical application scenarios.
| Item Type: | IMT PhD Thesis |
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| PhD Course: | Computer Science and Engineering |
| Identification Number: | https://doi.org/10.6092/imtlucca/e-theses/139 |
| NBN Number: | urn:nbn:it:imtlucca-27170 |
| Date Deposited: | 28 Jul 2014 10:49 |
| URI: | http://e-theses.imtlucca.it/id/eprint/139 |
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