The purpose of the course is to introduce the main analysis techniques for spatio-temporal data, with a particular focus on human mobility (including vehicles), aimed to better understand the overall mobility of a territory. The presentation will be supported by several case studies developed with the SoBigData.eu laboratory.
This module presents how to analyse traces that users leave from querying Web search engines (query log). It presents the main applications of Web mining including: i) how to profile the interests/activities of users, ii) how to use information from query logs for forecasting social indicators and optimizing Web search engines. Teaching activities will be supported by several case studies developed in the SoBigData.eu laboratory.
This module presents how to analyse traces that users leave from querying Web search engines (query log). It presents the main applications of Web mining including: i) how to profile the interests/activities of users, ii) how to use information from query logs for forecasting social indicators and optimizing Web search engines. Teaching activities will be supported by several case studies developed in the SoBigData.eu laboratory.
The course presents the main web data analysis techniques. By using the query log of a real search engine as a case study, students are guided in the development of a set of methodologies for data analysis aimed at creating the knowledge base for building a recommendation system. Then, the course discusses how the same information can be used to optimize the ranking in Web services. To this regard, the course introduces the learning to rank techniques aimed at estimating the relevance of objects with respect to specific user information needs.
The course presents the main elements for understanding financial markets, their structure, and technological infrastructure. Specifically, the course provides a background on basic empirical modeling of financial time series, from low to ultrahigh frequency, identifying the key data science aspects including data storage, latency, high dimensional inference, etc. It also covers semantic analysis of texts from news feed and social networks for financial forecasting.
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