Advances in state estimation, diagnosis and control of complex systems 

    Wang, Ye (Date of defense: 2018-10-22)

    This dissertation intends to provide theoretical and practical contributions on estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is motivated by ...

    Aggregation techniques for energy flexibility 

    Valsomatzis, Emmanouil (Date of defense: 2017-12-04)

    Over the last few years, the cost of energy from renewable resources, such as sunlight and wind, has declined resulting in an increasing use of Renewable Energy Sources (RES). As a result, the energy produced by RES is fed ...

    Aspects of semantic ETL 

    Deb Nath, Rudra Pratap (Date of defense: 2020-10-01)

    Business Intelligence tools support making better business decisions by analyzing available organizational data. Data Warehouses (DWs), typically structured with the Multidimensional (MD) model, are used to store data from ...

    Automating user-centered design of data-intensive processes 

    Theodorou, Vasileios (Date of defense: 2017-01-27)

    Business Intelligence (BI) enables organizations to collect and analyze internal and external business data to generate knowledge and business value, and provide decision support at the strategic, tactical, and operational ...

    Characterization and interpretation of cardiovascular and cardiorespiratory dynamics in cardiomyopathy patients 

    Rodríguez Benítez, Javier (Date of defense: 2020-12-04)

    The main objective of this thesis was to study the variability of the cardiac, respiratory and vascular systems through electrocardiographic (ECG), respiratory flow (FLW) and blood pressure (BP) signals, in patients with ...

    Data preprocessing and quality diagnosis in deep learning-based in silico bioactivity prediction 

    López del Río, Ángela (Date of defense: 2021-06-23)

    Drug discovery is a time and resource consuming process involving the identification of a target and the exploration of suitable drug candidates for it. To streamline drug discovery, computational techniques help identifying ...

    Dataset proximity mining for supporting schema matching and data lake governance 

    Alserafi, Ayman (Date of defense: 2021-02-05)

    With the huge growth in the amount of data generated by information systems, it is common practice today to store datasets in their raw formats (i.e., without any data preprocessing or transformations) in large-scale data ...

    Detección de isquemia de miocardio y estudio de la respuesta autónoma asociada mediante procesamiento de la señal de EGG 

    Magrans Nicieza, Rudys (Date of defense: 2016-11-29)

    Myocardial ischemia, consequence of coronary artery disease, is the major health problem leading to myocardial infarction (MI), arrhythmias and death. Autonomic nervous system (ANS) regulates several physiological functions ...

    Graph data warehousing 

    Ghrab, Amine (Date of defense: 2020-10-29)

    Over the last decade, we have witnessed the emergence of networks in a wide spectrum of application domains, ranging from social and information networks to biological and transportation networks. Graphs provide a solid ...

    Layout inference and table detection in spreadsheet document 

    Koci, Elvis (Date of defense: 2020-06-04)

    Spreadsheet applications have evolved to be a tool of great importance for businesses, open data, and scientific communities. Using these applications, users can perform various transformations, generate new content, ...

    Learning the impact of data pre-processing in data analysis 

    Bilalli, Besim (Date of defense: 2018-06-28)

    There is a clear correlation between data availability and data analytics, and hence with the increase of data availability --- unavoidable according to Moore's law, the need for data analytics increases too. This certainly ...

    Metadata-driven data integration 

    Nadal Francesch, Sergi (Date of defense: 2019-05-16)

    Data has an undoubtable impact on society. Storing and processing large amounts of available data is currently one of the key success factors for an organization. Nonetheless, we are recently witnessing a change represented ...

    Model-based control and diagnosis of inland navigation networks 

    Segovia Castillo, Pablo (Date of defense: 2019-06-11)

    This thesis regards the problem of optimal management of water resources in inland navigation networks from a control theory perspective. In particular, the main objective to be attained consists in guaranteeing the ...

    Physical database design in document stores 

    Hewasinghage, Moditha Lakshan Dharmasir (Date of defense: 2022-07-12)

    NoSQL is an umbrella term used to classify alternate storage systems to the traditional Relational Database Management Systems (RDBMSs). Among these, Document stores have gained popularity mainly due to the semi-structured ...

    Requirement-driven design and optimization of data-intensive flows 

    Jovanovic, Petar (Date of defense: 2016-09-26)

    Data have become number one assets of today's business world. Thus, its exploitation and analysis attracted the attention of people from different fields and having different technical backgrounds. Data-intensive flows are ...

    Semantic metadata for supporting exploratory OLAP 

    Varga, Jovan (Date of defense: 2017-01-24)

    On-Line Analytical Processing (OLAP) is an approach widely used for data analysis. OLAP is based on the multidimensional (MD) data model where factual data are related to their analytical perspectives called dimensions and ...

    Statistical normalisation of network propagation methods for computational biology 

    Picart Armada, Sergio (Date of defense: 2020-07-23)

    The advent of high-throughput technologies and their decreasing cost have fostered the creation of a rich ecosystem of public database resources. In an era of affordable data acquisition, the core challenge has shifted to ...

    Storage format selection and optimization for materialized intermediate results in data-intensive flows 

    Munir, Rana Faisal (Date of defense: 2019-12-05)

    Modern organizations produce and collect large volumes of data, that need to be processed repeatedly and quickly for gaining business insights. For such processing, typically, Data-intensive Flows (DIFs) are deployed on ...

    Temporal graph mining and distributed processing 

    Kumar, Rohit, 1986- (Date of defense: 2018-06-27)

    With the recent growth of social media platforms and the human desire to interact with the digital world a lot of human-human and human-device interaction data is getting generated every second. With the boom of the Internet ...