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 ...
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 ...
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) ...
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 ...
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 ...
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 ...
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, ...
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 ...
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) ...
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 ...