@conference{macek2013visualizing, address = {New York, NY, USA}, author = {Macek, Björn-Elmar and Atzmueller, Martin}, booktitle = {Proc. ASONAM 2013}, interhash = {d8cd9de635a391360c1663c0ec1ba35d}, intrahash = {04a24a6fa8abc228ea70b7d1c2ca7455}, publisher = {ACM Press}, title = {Visualizing The Impact of Time Series Data for Predicting User Interactions}, year = 2013 } @article{Fuchs2010379, abstract = {Subspace representations that preserve essential information of high-dimensional data may be advantageous for many reasons such as improved interpretability, overfitting avoidance, acceleration of machine learning techniques. In this article, we describe a new subspace representation of time series which we call polynomial shape space representation. This representation consists of optimal (in a least-squares sense) estimators of trend aspects of a time series such as average, slope, curve, change of curve, etc. The shape space representation of time series allows for a definition of a novel similarity measure for time series which we call shape space distance measure. Depending on the application, time series segmentation techniques can be applied to obtain a piecewise shape space representation of the time series in subsequent segments. In this article, we investigate the properties of the polynomial shape space representation and the shape space distance measure by means of some benchmark time series and discuss possible application scenarios in the field of temporal data mining.}, author = {Fuchs, Erich and Gruber, Thiemo and Pree, Helmuth and Sick, Bernhard}, doi = {10.1016/j.neucom.2010.03.022}, interhash = {88c499ac1dc9e9708e70187967494219}, intrahash = {fdf6865c1bece3f77cc3e29365a2c6b3}, issn = {0925-2312}, journal = {Neurocomputing}, note = {Artificial Brains}, number = {1–3}, pages = {379 - 393}, title = {Temporal data mining using shape space representations of time series}, url = {http://www.sciencedirect.com/science/article/pii/S0925231210002237}, volume = 74, year = 2010 } @article{griffiths2004finding, author = {Griffiths, Thomas L. and Steyvers, Mark}, interhash = {387a5060792d52ea73b02dd68e52559e}, intrahash = {cbfda2e50bd63357890b9181d8883826}, title = {Finding scientific topics}, url = {http://www.pnas.org/cgi/content/abstract/101/suppl_1/5228}, year = 2004 } @inproceedings{conf/pkdd/MirowskiL09, author = {Mirowski, Piotr W. and LeCun, Yann}, booktitle = {ECML/PKDD (2)}, crossref = {conf/pkdd/2009-2}, date = {2009-08-31}, editor = {Buntine, Wray L. and Grobelnik, Marko and Mladenic, Dunja and Shawe-Taylor, John}, ee = {http://dx.doi.org/10.1007/978-3-642-04174-7_9}, interhash = {8e22ad8f9308bb7122db75a010c2ff7b}, intrahash = {af7db8d2cbde8d65b60260a54d368bd0}, isbn = {978-3-642-04173-0}, pages = {128-143}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Dynamic Factor Graphs for Time Series Modeling.}, url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2009-2.html#MirowskiL09}, volume = 5782, year = 2009 } @inproceedings{conf/cikm/GollapudiS04, author = {Gollapudi, Sreenivas and Sivakumar, D.}, booktitle = {CIKM}, ee = {http://doi.acm.org/10.1145/1031208}, interhash = {06cbaa07a64c7056f68512b231a16b9e}, intrahash = {e774b2a8d72ee8bae25b25b9c2dbfdb1}, pages = {168-177}, title = {Framework and algorithms for trend analysis in massive temporal data sets.}, url = {http://dblp.uni-trier.de/db/conf/cikm/cikm2004.html#GollapudiS04}, year = 2004 } @inproceedings{conf/adbis/KontakiPM05, author = {Kontaki, Maria and Papadopoulos, Apostolos N. and Manolopoulos, Yannis}, booktitle = {ADBIS}, ee = {http://dx.doi.org/10.1007/11547686_22}, interhash = {d1dca0ab637fdcb820a95d2ebc1099ce}, intrahash = {e0ecd4facf6c3dcf4859a75dc119cc92}, pages = {294-308}, title = {Continuous Trend-Based Classification of Streaming Time Series.}, url = {http://dblp.uni-trier.de/db/conf/adbis/adbis2005.html#KontakiPM05}, year = 2005 } @article{griffiths2004finding, author = {Griffiths, Thomas L. and Steyvers, Mark}, interhash = {387a5060792d52ea73b02dd68e52559e}, intrahash = {cbfda2e50bd63357890b9181d8883826}, title = {Finding scientific topics}, url = {http://www.pnas.org/cgi/content/abstract/101/suppl_1/5228}, year = 2004 } @article{journals/jasis/AmitayCHLS04, author = {Amitay, Einat and Carmel, David and Herscovici, Michael and Lempel, Ronny and Soffer, Aya}, ee = {http://dx.doi.org/10.1002/asi.20082}, interhash = {f824a4e1f323a597abbdcbadb817e7cb}, intrahash = {ed652ec3752ada2526fc675c34eb4d3b}, journal = {JASIST}, number = 14, pages = {1270-1281}, title = {Trend detection through temporal link analysis.}, url = {http://dblp.uni-trier.de/db/journals/jasis/jasis55.html#AmitayCHLS04}, volume = 55, year = 2004 }