%0 Journal Article %1 RoddickSpiliopoulou:tkde02 %A Roddick, John F. %A Spiliopoulou, Myra %D 2002 %J IEEE Trans. of Knowledge and Data Engineering %K kmd %N 4 %P 750-767 %T A Survey of Temporal Knowledge Discovery Paradigms and Methods %V 14

@article{RoddickSpiliopoulou:tkde02, added-at = {2014-06-23T10:49:21.000+0200}, author = {Roddick, John F. and Spiliopoulou, Myra}, biburl = {https://www.bibsonomy.org/bibtex/28bbe2a1043cc3e191203d952739e6b79/kmd-ovgu}, interhash = {cb317342236efb6a1bed8996145ef595}, intrahash = {8bbe2a1043cc3e191203d952739e6b79}, journal = {IEEE Trans. of Knowledge and Data Engineering}, keywords = {kmd}, month = {Jul.-Aug.}, number = 4, optabstract = {With the increase in the size of datasets, data mining has recently become an important research topic and is receiving substantial interest from both academia and industry. At the same time, interest in temporal databases has been increasing and an increasing number of both prototype and implemented systems are using an enhanced temporal understanding to explain aspects of behaviour associated with the implicit time-varying nature of the universe. This paper investigates the confluence of these two areas, surveys the work to date, and explores the issues involved and the outstanding problems in temporal data mining.}, pages = {750-767}, timestamp = {2014-06-23T10:49:21.000+0200}, title = {A Survey of Temporal Knowledge Discovery Paradigms and Methods}, volume = 14, year = 2002 }