Travelled to:1 × Egypt
1 × Italy
1 × United Kingdom
2 × Canada
8 × USA
Collaborated with:Y.Manolopoulos T.K.Sellis A.Nanopoulos D.Papadias I.Ntoutsi N.Pelekis N.Giatrakos D.Pfoser C.S.Jensen N.Mamoulis E.E.Kotsifakos Y.Vrahoritis E.Frentzos M.Spiliopoulou R.Schult A.Corral M.Vassilakopoulos M.J.Egenhofer A.Gkoulalas-Divanis M.Vodas D.Kopanaki Y.Kotidis A.Deligiannakis V.Vassalos E.Dellis A.Vlachou I.Vladimirskiy B.Seeger
Talks about:trajectori (3) queri (3) model (3) tree (3) spatial (2) process (2) cluster (2) closest (2) comput (2) pair (2)
Person: Yannis Theodoridis
DBLP: Theodoridis:Yannis
Contributed to:
2011
2010
20082008200620062002
200120002000
199919961995Wrote 13 papers:
- CIKM-2011-PelekisGVKT #privacy #query
- Privacy-aware querying over sensitive trajectory data (NP, AGD, MV, DK, YT), pp. 895–904.
- SIGMOD-2010-GiatrakosKDVT #approximate #named #network
- TACO: tunable approximate computation of outliers in wireless sensor networks (NG, YK, AD, VV, YT), pp. 279–290.
- KDD-2008-KotsifakosNVT #data mining #mining #modelling #named
- Pattern-Miner: integrated management and mining over data mining models (EEK, IN, YV, YT), pp. 1081–1084.
- SIGMOD-2008-PelekisFGT #named
- HERMES: aggregative LBS via a trajectory DB engine (NP, EF, NG, YT), pp. 1255–1258.
- CIKM-2006-DellisVVST
- Constrained subspace skyline computation (ED, AV, IV, BS, YT), pp. 415–424.
- KDD-2006-SpiliopoulouNTS #clustering #modelling #monitoring #named
- MONIC: modeling and monitoring cluster transitions (MS, IN, YT, RS), pp. 706–711.
- CIKM-2002-NanopoulosMT #algorithm #effectiveness #performance
- An efficient and effective algorithm for density biased sampling (AN, YM, YT), pp. 398–404.
- VLDB-2001-ManolopoulosT #clustering #named
- C2P: Clustering based on Closest Pairs (AN, YT, YM), pp. 331–340.
- SIGMOD-2000-CorralMTV #database #query
- Closest Pair Queries in Spatial Databases (AC, YM, YT, MV), pp. 189–200.
- VLDB-2000-PfoserJT #novel #query
- Novel Approaches in Query Processing for Moving Object Trajectories (DP, CSJ, YT), pp. 395–406.
- PODS-1999-PapadiasMT #multi #optimisation #using
- Processing and Optimization of Multiway Spatial Joins Using R-Trees (DP, NM, YT), pp. 44–55.
- PODS-1996-TheodoridisS #performance #predict
- A Model for the Prediction of R-tree Performance (YT, TKS), pp. 161–171.
- SIGMOD-1995-PapadiasTSE #bound #case study
- Topological Relations in the World of Minimum Bounding Rectangles: A Study with R-trees (DP, YT, TKS, MJE), pp. 92–103.