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Big data management
Big data management refers to data that is voluminous, of heterogeneous nature and stemming from different sources, produced at tremendous rates, and as such cannot be handled by traditional database technology…
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Mining Massive Datasets
In the data-generating world we live, when more advanced than simple querying or multi-dimensional analysis is required, we turn our sight to data mining, which uncovers the knowledge hidden in the database (hence, Knowledge Discovery in Data – KDD)…
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Data and Text Analytics
Data analytics forms an essential step in the data management process, as it is imperative for miscellaneous types of significant applications including business intelligence. In the current era of Big Data, the sheer volume of data poses tremendous challenges for efficient and scalable data analytics…
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Mobility Data Exploration
Mobility data is ubiquitous, particularly due to the automated collection of time-stamped location information from GPS-equipped devices, from everyday smartphones to dedicated software and hardware in charge of monitoring move-ment in land, sea, and air…
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Social Network Analysis
The different ways people, systems and artifacts are connected provide a wealth of data that if properly analyzed and visualized can provide important patterns of connections, ties, propagation of information, influences, enforcement/emergence of regulations and policies, interdependencies between actors, groups, etc…
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Semantic Integration
Rich diverse information sources of static or stream structured data do exist. However these are heterogeneous in various aspects: On the ways information is formed, on the ways information is described and shaped, on the ways different aspects of (abstract or concrete) entities are conceptualized and represented…
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Data Privacy
Personal data is shared nowadays in unprecedented frequency, mainly due to the expansion of social networking applications. On the other hand, data privacy is defined to be the ability an individual has to determine what data about him/her can be shared with third parties…
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Data Visualization
As it usually happens in the data science world, the challenge after storing the data is the implementation of appropriate analytics for extracting useful knowledge. Data Visualization is the probably the most insightfull way to serve this objective…
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