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@inproceedings{5546, author = {Berka, Petr}, address = {Linz}, booktitle = {24th Interdisciplinary Management Talks IDIMT 2016}, editor = {Doucek, P., Chroust, G., Oškral, V.}, keywords = {reality mining; data mining}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Linz}, isbn = {978-3-99033-869-8}, note = {AR 2016/2017 - odesláno do RIV. (duben 2017)}, pages = {259-266}, publisher = {Trauner Verlag}, title = {Reality mining: a new subfield of data mining}, year = {2016} }
TY - JOUR ID - 5546 AU - Berka, Petr PY - 2016 TI - Reality mining: a new subfield of data mining PB - Trauner Verlag CY - Linz SN - 9783990338698 N1 - AR 2016/2017 - odesláno do RIV. (duben 2017) KW - reality mining KW - data mining N2 - Reality mining is defined as “collection and analysis of machine-sensed environmental data pertaining to human social behavior, with the goal of identifying predictable patterns of behavior”. As such it can be understood as a particular application area of data mining. Or is there more behind this new notion? And will reality mining become a new subfield of data mining in a same way as text mining or web mining? The paper looks at similarities and differences between reality mining and “classical” data mining and reviews some applications presented by their authors as reality mining. ER -
BERKA, Petr. Reality mining: a new subfield of data mining. In Doucek, P., Chroust, G., Oškral, V. \textit{24th Interdisciplinary Management Talks IDIMT 2016}. Linz: Trauner Verlag. s.~259-266. ISBN~978-3-99033-869-8. 2016.
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