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Themis Palpanas
Themistoklis Palpanas
2010 – today
- 2012
[j15]Mikalai Tsytsarau, Themis Palpanas: Survey on mining subjective data on the web. Data Min. Knowl. Discov. 24(3): 478-514 (2012)
[j14]
[j13]Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas: Diverse dimension decomposition for itemset spaces. Knowl. Inf. Syst. 33(2): 447-473 (2012)
[j12]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas: Uncertain Time-Series Similarity: Return to the Basics. PVLDB 5(11): 1662-1673 (2012)
[j11]Themis Palpanas, Yannis Velegrakis: dbTrento: the data and information management group at the University of Trento. SIGMOD Record 41(3): 28-33 (2012)
[c36]Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas: SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. PAKDD (1) 2012: 109-121
[c35]Alice Marascu, Suleiman A. Khan, Themis Palpanas: Scalable Similarity Matching in Streaming Time Series. PAKDD (2) 2012: 218-230
[c34]Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco: What does model-driven data acquisition really achieve in wireless sensor networks? PerCom 2012: 85-94
[c33]Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel: Density-based Projected Clustering over High Dimensional Data Streams. SDM 2012: 987-998
[c32]Enrico Iori, Alkis Simitsis, Themis Palpanas, Kevin Wilkinson, Stavros Harizopoulos: CloudAlloc: a monitoring and reservation system for compute clusters. SIGMOD Conference 2012: 721-724
[c31]George Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl: Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data. WSDM 2012: 53-62
[i1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas: Uncertain Time-Series Similarity: Return to the Basics. CoRR abs/1208.1931 (2012)- 2011
[j10]Stefano Bortoli, Themis Palpanas, Paolo Bouquet: Decentralised social network management. IJWBC 7(3): 276-297 (2011)
[j9]Nikolaus Augsten, Denilson Barbosa, Michael H. Böhlen, Themis Palpanas: Efficient Top-k Approximate Subtree Matching in Small Memory. IEEE Trans. Knowl. Data Eng. 23(8): 1123-1137 (2011)
[c30]Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas: Diverse Dimension Decomposition of an Itemset Space. ICDM 2011: 725-734
[c29]Mikalai Tsytsarau, Themis Palpanas: Towards a Framework for Detecting and Managing Opinion Contradictions. ICDM Workshops 2011: 1219-1222
[c28]George Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl: Eliminating the redundancy in blocking-based entity resolution methods. JCDL 2011: 85-94
[c27]George Papadakis, George Giannakopoulos, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl: Detecting and exploiting stability in evolving heterogeneous information spaces. JCDL 2011: 95-104
[c26]George Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl: To compare or not to compare: making entity resolution more efficient. SWIM 2011: 3- 2010
[c25]Heiko Stoermer, Themis Palpanas, George Giannakopoulos: The Entity Name System: Enabling the web of entities. ICDE Workshops 2010: 227-232
[c24]Nikolaus Augsten, Denilson Barbosa, Michael H. Böhlen, Themis Palpanas: TASM: Top-k Approximate Subtree Matching. ICDE 2010: 353-364
[c23]Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh: iSAX 2.0: Indexing and Mining One Billion Time Series. ICDM 2010: 58-67
[c22]George Giannakopoulos, Themis Palpanas: The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord. ICDM 2010: 809-814
[c21]Mikalai Tsytsarau, Themis Palpanas, Kerstin Denecke: Scalable discovery of contradictions on the web. WWW 2010: 1195-1196
2000 – 2009
- 2009
[j8]Nishad Manerikar, Themis Palpanas: Frequent items in streaming data: An experimental evaluation of the state-of-the-art. Data Knowl. Eng. 68(4): 415-430 (2009)
[c20]Paolo Bouquet, Themis Palpanas, Heiko Stoermer, Massimiliano Vignolo: A Conceptual Model for a Web-Scale Entity Name System. ASWC 2009: 46-60
[c19]Barbara Bazzanella, Themis Palpanas, Heiko Stoermer: Towards a General Entity Representation Model. IRI 2009: 431-432- 2008
[j7]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon: On space constrained set selection problems. Data Knowl. Eng. 67(1): 200-218 (2008)
[j6]Themis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos: Streaming Time Series Summarization Using User-Defined Amnesic Functions. IEEE Trans. Knowl. Data Eng. 20(7): 992-1006 (2008)
[c18]
[c17]Themis Palpanas, Junaid Ahsenali Chaudhry, Periklis Andritsos, Yannis Velegrakis: Entity Data Management in OKKAM. DEXA Workshops 2008: 729-733
[c16]Junaid Ahsenali Chaudhry, Themis Palpanas, Periklis Andritsos, Antonio Maña: Entity Lifecycle Management for OKKAM. IRSW 2008
[c15]Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka, Cinzia Cappiello: Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications. ICIQ 2008: 310-324
[c14]Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka: Managing Data Quality in Business Intelligence Applications. QDB/MUD 2008: 133-143
[c13]Ferry Irawan Tantono, Nishad Manerikar, Themis Palpanas: Efficiently Discovering Recent Frequent Items in Data Streams. SSDBM 2008: 222-239
[c12]Barbara Bazzanella, Junaid Ahsenali Chaudhry, Themis Palpanas, Heiko Stoermer: Towards a General Entity Representation Model. SWAP 2008- 2007
[j5]Themis Palpanas, Pawan Chowdhary, George A. Mihaila, Florian Pinel: Integrated model-driven dashboard development. Information Systems Frontiers 9(2-3): 195-208 (2007)
[j4]Ioana Stanoi, George A. Mihaila, Themis Palpanas, Christian A. Lang: WhiteWater: Distributed Processing of Fast Streams. IEEE Trans. Knowl. Data Eng. 19(9): 1214-1226 (2007)
[c11]Themis Palpanas, Vana Kalogeraki, Dimitrios Gunopulos: Online Distribution Estimation for Streaming Data: Framework and Applications. SEBD 2007: 430-438- 2006
[c10]Ioana Stanoi, George A. Mihaila, Themis Palpanas, Christian A. Lang: Maximizing the sustained throughput of distributed continuous queries. CIKM 2006: 834-835
[c9]Pawan Chowdhary, Themis Palpanas, Florian Pinel, Shyh-Kwei Chen, Frederick Y. Wu: Model-Driven Dashboards for Business Performance Reporting. EDOC 2006: 374-386
[c8]Sharmila Subramaniam, Vana Kalogeraki, Themis Palpanas: Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks. RTSS 2006: 401-411
[c7]Sharmila Subramaniam, Themis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, Dimitrios Gunopulos: Online Outlier Detection in Sensor Data Using Non-Parametric Models. VLDB 2006: 187-198- 2005
[j3]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon: Using Datacube Aggregates for Approximate Querying and Deviation Detection. IEEE Trans. Knowl. Data Eng. 17(11): 1465-1477 (2005)- 2004
[c6]Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel: Online Amnesic Approximation of Streaming Time Series. ICDE 2004: 339-349
[c5]Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan, Dimitrios Gunopulos, Marc Cardle: Indexing Large Human-Motion Databases. VLDB 2004: 780-791- 2003
[j2]Themistoklis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, Dimitrios Gunopulos: Distributed deviation detection in sensor networks. SIGMOD Record 32(4): 77-82 (2003)
[c4]Panayiotis Tsaparas, Themistoklis Palpanas, Yannis Kotidis, Nick Koudas, Divesh Srivastava: Ranked Join Indices. ICDE 2003: 277-288
[c3]Themistoklis Palpanas, Nick Koudas, Alberto O. Mendelzon: Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. SSDBM 2003: 55-64- 2002
[c2]Themistoklis Palpanas, Richard Sidle, Roberta Cochrane, Hamid Pirahesh: Incremental Maintenance for Non-Distributive Aggregate Functions. VLDB 2002: 802-813- 2001
[c1]Themistoklis Palpanas, Nick Koudas: Entropy Based Approximate Querying and Exploration of Datacubes. SSDBM 2001: 81-90- 2000
[j1]
Coauthor Index
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last updated on 2013-01-24 21:46 CET by the dblp team



