7 papers:
KDD-2015-ArlorioCLLP #assessment #authentication #data mining #mining- Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont (MA, JDC, GL, ML, LP), pp. 1671–1680.
SAC-2015-OmatuYI #classification #learning #smell- Smell classification of wines by the learning vector quantization method (SO, MY, YI), pp. 195–200.
HIMI-AS-2014-HirokawaFSY #learning #mindmap- Learning Winespeak from Mind Map of Wine Blogs (SH, BF, TS, CY), pp. 383–393.
CHI-2011-Bargas-AvilaH #analysis #challenge #empirical #experience #novel #user interface- Old wine in new bottles or novel challenges: a critical analysis of empirical studies of user experience (JABA, KH), pp. 2689–2698.
VLDB-2010-AgrawalDA #big data #in the cloud #question- Big Data and Cloud Computing: New Wine or just New Bottles? (DA, SD, AEA), pp. 1647–1648.
KR-2006-SirinGP #logic #optimisation #reasoning- From Wine to Water: Optimizing Description Logic Reasoning for Nominals (ES, BCG, BP), pp. 90–99.
MLDM-2005-KotsiantisTRP #modelling- Modeling the Organoleptic Properties of Matured Wine Distillates (SBK, GET, CR, PEP), pp. 667–673.
