Where Are We Going? Predicting the Evolution of Individuals

Z. Siddiqui, M. Oliveira, J. Gama, and M. Spiliopoulou. Advances in Intelligent Data Analysis XI , volume 7619 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2012)


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

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