The BOSS is concerned with time series classification in the presence of noise Patrick Schäfer OriginalPaper 16 September 2014 Pages: 1505 - 1530
Ensemble methods for uplift modeling Michał SołtysSzymon JaroszewiczPiotr Rzepakowski OriginalPaper Open access 17 September 2014 Pages: 1531 - 1559
Cluster validity functions for categorical data: a solution-space perspective Liang BaiJiye Liang OriginalPaper 02 October 2014 Pages: 1560 - 1597
Weakly supervised nonnegative matrix factorization for user-driven clustering Jaegul ChooChanghyun LeeHaesun Park OriginalPaper 05 October 2014 Pages: 1598 - 1621
A general framework for never-ending learning from time series streams Yanping ChenYuan HaoEamonn Keogh OriginalPaper 12 October 2014 Pages: 1622 - 1664
Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization Yakui HuangHongwei LiuShuisheng Zhou OriginalPaper 12 October 2014 Pages: 1665 - 1684
Learning sequential classifiers from long and noisy discrete-event sequences efficiently Gessé DaféAdriano VelosoWagner Meira Jr. OriginalPaper 04 November 2014 Pages: 1685 - 1708
A general framework for predictive tensor modeling with domain knowledge Yada ZhuJingrui HeRichard D. Lawrence OriginalPaper 12 November 2014 Pages: 1709 - 1732
Discrimination- and privacy-aware patterns Sara HajianJosep Domingo-FerrerFosca Giannotti OriginalPaper 22 November 2014 Pages: 1733 - 1782
Multi-relational pattern mining over data streams Andreia SilvaCláudia Antunes OriginalPaper 28 November 2014 Pages: 1783 - 1814
Properties of the sample estimators used for statistical normalization of feature vectors Mikhail Y. ProstovMaria M. Suarez-AlvarezYuriy I. Prostov OriginalPaper 30 November 2014 Pages: 1815 - 1837
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences Jefrey LijffijtPanagiotis PapapetrouKai Puolamäki OriginalPaper 09 December 2014 Pages: 1838 - 1864
