Travelled to:1 × France
1 × Italy
1 × Portugal
1 × Switzerland
Collaborated with:A.J.M.Traina D.Y.T.Chino R.R.d.V.Gonçalves C.T.Jr. E.P.M.d.Sousa A.M.H.d.Ávila B.F.Amaral S.A.Nunes P.P.Coltri J.Z.Jr. R.Chbeir L.P.S.Avalhais W.D.Oliveira
Talks about:mine (4) time (3) seri (3) data (3) framework (2) climat (2) motif (2) new (2) be (2) heterogen (1)
Person: Luciana A. S. Romani
DBLP: Romani:Luciana_A=_S=
Contributed to:
20142013
20122010Wrote 5 papers:
- ICEIS-v1-2014-AmaralCRGTS #approach #data mining #framework #image #mining
- The SITSMining Framework — A Data Mining Approach for Satellite Image Time Series (BFA, DYTC, LASR, RRdVG, AJMT, EPMdS), pp. 225–232.
- ICEIS-v1-2014-ChinoGRTT #named #scalability
- TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series (DYTC, RRdVG, LASR, CTJ, AJMT), pp. 60–69.
- ICEIS-v3-2013-ChinoRAOGTT #collaboration #framework #gesture #information management #interactive #using
- The NInA Framework — Using Gesture to Improve Interaction and Collaboration in Geographical Information Systems (DYTC, LASR, LPSA, WDO, RRdVG, CTJ, AJMT), pp. 58–66.
- SAC-2012-NunesARTCS #analysis #data type
- To be or not to be real: fractal analysis of data streams from a regional climate change model (SAN, AMHdÁ, LASR, AJMT, PPC, EPMdS), pp. 831–832.
- SAC-2010-RomaniAZCTT #algorithm #mining #named
- CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data (LASR, AMHdÁ, JZJ, RC, CTJ, AJMT), pp. 900–905.