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Full-Text Articles in Physical Sciences and Mathematics
Slaves To Big Data. Or Are We?, Mireille Hildebrandt
Slaves To Big Data. Or Are We?, Mireille Hildebrandt
Mireille Hildebrandt
In this contribution the notion of Big Data is discussed in relation to the monetisation of personal data. The claim of some proponents as well as adversaries, that Big Data implies that ‘n = all’, meaning that we no longer need to rely on samples because we have all the data, is scrutinized and found both overly optimistic and unnecessarily pessimistic. A set of epistemological and ethical issues is presented, focusing on the implications of Big Data for our perception, cognition, fairness, privacy and due process. The article then looks into the idea of user centric personal data management, to …
Computational Intelligence And Decision Making: A Multidisciplinary Review, Renato Martins Alas, Sukanto Bhattacharya, Kuldeep Kumar
Computational Intelligence And Decision Making: A Multidisciplinary Review, Renato Martins Alas, Sukanto Bhattacharya, Kuldeep Kumar
Kuldeep Kumar
The phenomenon of dynamic shift in our society called “speed up” has been part of the modern society since the middle of the eighteenth century. Its progressive development is already and will demand more speed in information processing. To cope with such fast pace demand of processing it is necessary to develop more sophisticated computational representation of the human brain. Computational Cognitive Neuroscience is the only realistic approach in reproducing the fundamental nature of human brain’s neurology. We support the biological computational representation of the human brain, based on fMRI imaging analysis, as more effective in the process of decision …
Analysis Of Uncertain Data: Evaluation Of Given Hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Analysis Of Uncertain Data: Evaluation Of Given Hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Jaime G. Carbonell
We consider the problem of heuristic evaluation of given hypotheses based on limited observations, in situations when available data are insufficient for rigorous statistical analysis.