Themis Palpanas
- B. Alexe, W. C. Tan, and Y. Velegrakis. Comparing and evaluating mapping systems with STBenchmark. PVLDB, 1(2), 2008. Google Scholar
Digital Library
- B. Alexe, W. C. Tan, and Y. Velegrakis. STBenchmark: towards a benchmark for mapping systems. PVLDB, 1(1), 2008. Google ScholarDigital Library
- N. Augsten, D. Barbosa, M. H. Böhlen, and T. Palpanas. Tasm: Top-k approximate subtree matching. In ICDE, 2010.Google ScholarCross Ref
- N. Augsten, D. Barbosa, M. H. Böhlen, and T. Palpanas. Efficient top-k approximate subtree matching in small memory. TKDE, 23(8), 2011. Google ScholarDigital Library
- B. Bazzanella, T. Palpanas, and H. Stoermer. Towards a general entity representation model. In IRI, 2009. Google ScholarDigital Library
- S. Bergamaschi, E. Domnori, F. Guerra, R. Trillo Lado, and Y. Velegrakis. Keyword Search over Relational Databases: A Metadata Approach. In SIGMOD, 2011. Google ScholarDigital Library
- S. Bergamaschi, E. Domnori, F. Guerra, M. Orsini, R. T. Lado, and Y. Velegrakis. Keymantic: Semantic Keyword based Searching in Data Integration Systems. PVLDB, 3(2), 2010. Google ScholarDigital Library
- S. Bergamaschi, F. Guerra, S. Rota, and Y. Velegrakis. A Hidden Markov Model Approach to Keyword-based Search over Relational Databases. In ER, 2011. Google ScholarDigital Library
- S. Bergamaschi, F. Guerra, S. Rota, and Y. Velegrakis. KEYRY: a Keyword-based Search Engine over Relational Databases based on a Hidden Markov Model. In ER, 2011. Google ScholarDigital Library
- S. Bergamaschi, F. Guerra, S. Rota, and Y. Velegrakis. Understanding Linked Open Data through Keyword Searching: the KEYRY approach. In LWDM, 2011. Google ScholarDigital Library
- A. Bonifati and Y. Velegrakis. Schema Matching and Mapping: From Usage to Evaluation. In EDBT, 2011. Google ScholarDigital Library
- P. Bouquet, T. Palpanas, H. Stoermer, and M. Vignolo. A conceptual model for a web-scale entity name system. In ASWC, 2009. Google ScholarDigital Library
- S. Bykau, N. Kiyavitskaya, C. Tsinaraki, and Y. Velegrakis. Bridging the Gap Between Heterogeneous and Semantically Diverse Content of Different Disciplines. In FLEXDBIST, 2010. Google ScholarDigital Library
- S. Bykau, J. Mylopoulos, F. Rizzolo, and Y. Velegrakis. Supporting Queries Spanning Across Phases of Evolving Artifacts using Steiner Forests. In CIKM, 2011. Google ScholarDigital Library
- S. Bykau, J. Mylopoulos, F. Rizzolo, and Y. Velegrakis. On Modeling and Querying Concept Evolution. Journal on Data Semantics, 1, 2012.Google Scholar
- A. Camerra, T. Palpanas, J. Shieh, and E. J. Keogh. isax 2.0: Indexing and mining one billion time series. In ICDM, 2010. Google ScholarDigital Library
- A. Chiasera, F. Casati, F. Daniel, and Y. Velegrakis. Engineering Privacy Requirements in Business Intelligence Applications. In SDM, 2008. Google ScholarDigital Library
- M. Dallachiesa, B. Nushi, K. Mirylenka, and T. Palpanas. Uncertain time-series similarity: Return to the basics. PVLDB, 5(11), 2012. Google ScholarDigital Library
- R. De Virgilio, F. Guerra, and Y. Velegrakis. Semantic Search over the Web. Springer, 2012. Google ScholarDigital Library
- R. Fagin, L. M. Haas, M. A. Hernández, R. J. Miller, L. Popa, and Y. Velegrakis. Clio: Schema mapping creation and data exchange. In A. Borgida, V. K. Chaudhri, P. Giorgini, and E. S. K. Yu, editors, Conceptual Modeling: Foundations and Applications, volume 5600 of Lecture Notes in Computer Science. Springer, 2009. Google ScholarDigital Library
- G. Giannakopoulos and T. Palpanas. Content and type as orthogonal modeling features: a study on user interest awareness in entity subscription services. International Journal of Advances on Networks and Services, 3(2), 2010.Google Scholar
- G. Giannakopoulos and T. Palpanas. The effect of history on modeling systems' performance: The problem of the demanding lord. In ICDM, 2010. Google ScholarDigital Library
- G. Giannakopoulos and T. Palpanas. Revisiting the effect of history on learning performance: The problem of the demanding lord. KAIS, accepted for publication.Google Scholar
- O. Hassanzadeh, A. Kementsietsidis, and Y. Velegrakis. Data Management Issues on the SemanticWeb. In ICDE, 2012. Google ScholarDigital Library
- E. Ioannou, W. Nejdl, C. Niederee, and Y. Velegrakis. OntheFly Entity-Aware Query Processing in the Presence of Linkage. PVLDB, 3(1), 2010. Google ScholarDigital Library
- E. Ioannou, W. Nejdl, C. Niederee, and Y. Velegrakis. LinkDB: A Probabilistic Linkage Database System. In SIGMOD, 2011. Google ScholarDigital Library
- E. Ioannou, C. Niederee, and Y. Velegrakis. Enabling Entity-Based Aggregators for Web 2.0 data. In WWW, 2010. Google ScholarDigital Library
- E. Iori, A. Simitsis, T. Palpanas, K. Wilkinson, and S. Harizopoulos. Cloudalloc: A monitoring and reservation system for compute clusters. In SIGMOD, 2012. Google ScholarDigital Library
- A. Katifori, C. Nikolaou, M. Platakis, Y. Ioannidis, A. Tympas, M. Koubarakis, N. Sarris, V. Tountopoulos, E. Tzoanos, S. Bykau, N. Kiyavitskaya, C. Tsinaraki, and Y. Velegrakis. The Papyrus Digital Library: Discovering History in the News. In TPDL, 2011. Google ScholarDigital Library
- Y. Kotidis, D. Srivastava, and Y. Velegrakis. Updates Through Views: A New Hope. In ICDE, pages 13--24, 2006. Google ScholarDigital Library
- N. Manerikar and T. Palpanas. Frequent items in streaming data: An experimental evaluation of the state-of-theart. DKE, 68(4), 2009. Google ScholarDigital Library
- A. Marascu, S. A. Khan, and T. Palpanas. Scalable similarity matching in streaming time series. In PAKDD, 2012. Google ScholarDigital Library
- Z. Miklos, N. Bonvin, P. Bouquet, M. Catasta, D. Cordioli, P. Fankhauser, J. Gaugaz, E. Ioannou, H. Koshutanski, A. Mana, C. Niederee, T. Palpanas, and H. Stoermer. From web data to entities and back. In CAiSE, 2010. Google ScholarDigital Library
- K. Mirylenka, G. Giannakopoulos, and T. Palpanas. Srf: A framework for the study of classifier behavior under training set mislabeling noise. In PAKDD, 2012. Google ScholarDigital Library
- D. Mottin, T. Palpanas, and Y. Velegrakis. Entity Ranking Using Click-Log Information. Intelligent Data Analysis Journal, 17:5, 2013.Google Scholar
- I. Ntoutsi, A. Zimek, T. Palpanas, P. Kröger, and H.-P. Kriegel. Density-based projected clustering over high dimensional data streams. In SDM, 2012.Google ScholarCross Ref
- T. Palpanas. Real-time data analytics in sensor networks. In C. Aggarwal, editor, Managing and Mining Sensor Data. Springer, 2012.Google Scholar
- T. Palpanas, M. Vlachos, E. J. Keogh, and D. Gunopulos. Streaming time series summarization using user-defined amnesic functions. TKDE, 20(7), 2008. Google ScholarDigital Library
- G. Papadakis, G. Giannakopoulos, C. Niederée, T. Palpanas, and W. Nejdl. Detecting and exploiting stability in evolving heterogeneous information spaces. In JCDL, 2011. Google ScholarDigital Library
- G. Papadakis, E. Ioannou, C. Niederée, T. Palpanas, and W. Nejdl. Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data. In WSDM, 2012. Google ScholarDigital Library
- G. Papadakis, E. Ioannou, T. Palpanas, C. Niederee, and W. Nejdl. A blocking framework for entity resolution in highly heterogeneous information spaces. TKDE, accepted for publication.Google Scholar
- A. Presa, Y. Velegrakis, F. Rizzolo, and S. Bykau. Modeling Associations through Intensional Attributes. In ER, 2009. Google ScholarDigital Library
- U. Raza, A. Camerra, A. L. Murphy, T. Palpanas, and G. P. Picco. What does model-driven data acquisition really achieve in wireless sensor networks? In PerCom, Lugano, Switzerland, 2012.Google ScholarCross Ref
- F. Rizzolo, Y. Velegrakis, J. Mylopoulos, and S. Bykau. Modeling Concept Evolution: A Historical Perspective. In ER, 2009. Google ScholarDigital Library
- D. Srivastava and Y. Velegrakis. Intensional Associations between Data and Metadata. In SIGMOD, pages 401--412, 2007. Google ScholarDigital Library
- D. Srivastava and Y. Velegrakis. MMS: Using Queries As Data Values for Metadata Management. In ICDE, pages 1481--1482, 2007.Google ScholarCross Ref
- D. Srivastava and Y. Velegrakis. Using Queries to Associate Metadata with Data. In ICDE, pages 1451--1453, 2007.Google ScholarCross Ref
- I. Stanoi, G. A. Mihaila, T. Palpanas, and C. A. Lang. Whitewater: Distributed processing of fast streams. TKDE, 19(9), 2007. Google ScholarDigital Library
- S. Subramaniam, V. Kalogeraki, and T. Palpanas. Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks. In RTSS, Rio de Janeiro, Brazil, 2006. Google ScholarDigital Library
- S. Subramaniam, T. Palpanas, D. Papadopoulos, V. Kalogeraki, and D. Gunopulos. Online outlier detection in sensor data using non-parametric models. In VLDB, 2006. Google ScholarDigital Library
- F. I. Tantono, N. Manerikar, and T. Palpanas. Efficiently discovering recent frequent items in data streams. In SSDBM, 2008. Google ScholarDigital Library
- C. Tsinaraki, Y. Velegrakis, N., and J. Mylopoulos. A Context-based Model for the Interpretation of Polysemous Terms. In ODBASE, 2010. Google ScholarDigital Library
- M. Tsytsarau, F. Bonchi, A. Gionis, and T. Palpanas. Diverse dimension decomposition of an itemset space. In ICDM, 2011. Google ScholarDigital Library
- M. Tsytsarau, F. Bonchi, A. Gionis, and T. Palpanas. Diverse dimension decomposition for itemset spaces. KAIS, accepted for publication.Google Scholar
- M. Tsytsarau and T. Palpanas. Towards a framework for detecting and managing opinion contradictions. In ICDM Workshops, 2011. Google ScholarDigital Library
- M. Tsytsarau and T. Palpanas. Survey on mining subjective data on the web. DMKD, 24(3), 2012. Google ScholarDigital Library
- M. Tsytsarau, T. Palpanas, and K. Denecke. Scalable discovery of contradictions on the web. In WWW, 2010. Google ScholarDigital Library
Index Terms
- dbTrento: the data and information management group at the University of Trento
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