When searching for patterns on data streams, we come across perennial (dynamic) objects that evolve over time. These objects are encountered repeatedly and each time with different definition and values. Examples are (a) companies registered at stock exchange and reporting their progress at the end of each year, and (b) students whose performance is evaluated at the end of each semester. On such data, domain experts also pose questions on how the individual objects will evolve: would it be beneficial to invest in a given company, given
%0 Book Section
%1 noKey
%A Siddiqui, Zaigham Faraz
%A Oliveira, Márcia
%A Gama, João
%A Spiliopoulou, Myra
%B Advances in Intelligent Data Analysis XI
%D 2012
%E Hollmén, Jaakko
%E Klawonn, Frank
%E Tucker, Allan
%I Springer Berlin Heidelberg
%K IMPRINT kmd
%P 357-368
%R 10.1007/978-3-642-34156-4_33
%T Where Are We Going? Predicting the Evolution of Individuals
%U http://dx.doi.org/10.1007/978-3-642-34156-4_33
%V 7619
%X When searching for patterns on data streams, we come across perennial (dynamic) objects that evolve over time. These objects are encountered repeatedly and each time with different definition and values. Examples are (a) companies registered at stock exchange and reporting their progress at the end of each year, and (b) students whose performance is evaluated at the end of each semester. On such data, domain experts also pose questions on how the individual objects will evolve: would it be beneficial to invest in a given company, given
%@ 978-3-642-34155-7
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abstract = {When searching for patterns on data streams, we come across perennial (dynamic) objects that evolve over time. These objects are encountered repeatedly and each time with different definition and values. Examples are (a) companies registered at stock exchange and reporting their progress at the end of each year, and (b) students whose performance is evaluated at the end of each semester. On such data, domain experts also pose questions on how the individual objects will evolve: would it be beneficial to invest in a given company, given },
added-at = {2014-06-20T12:07:49.000+0200},
author = {Siddiqui, Zaigham Faraz and Oliveira, Márcia and Gama, João and Spiliopoulou, Myra},
biburl = {https://www.bibsonomy.org/bibtex/2ee75967b36f3cae63fa687157fa6e9c5/kmd-ovgu},
booktitle = {Advances in Intelligent Data Analysis XI},
doi = {10.1007/978-3-642-34156-4_33},
editor = {Hollmén, Jaakko and Klawonn, Frank and Tucker, Allan},
interhash = {2924bd017c85f3e0ae4fcca4e50d530c},
intrahash = {ee75967b36f3cae63fa687157fa6e9c5},
isbn = {978-3-642-34155-7},
keywords = {IMPRINT kmd},
language = {English},
pages = {357-368},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2014-09-04T14:43:15.000+0200},
title = {Where Are We Going? Predicting the Evolution of Individuals},
url = {http://dx.doi.org/10.1007/978-3-642-34156-4_33},
volume = 7619,
year = 2012
}