Year |
Citation |
Score |
2017 |
Tagasovska N, Andritsos P. Distributed clustering of categorical data using the information bottleneck framework Information Systems. 72: 161-178. DOI: 10.1016/J.Is.2017.10.006 |
0.38 |
|
2014 |
Bolzoni P, Helmer S, Wellenzohn K, Gamper J, Andritsos P. Efficient itinerary planning with category constraints Gis: Proceedings of the Acm International Symposium On Advances in Geographic Information Systems. 4: 203-212. DOI: 10.1145/2666310.2666411 |
0.323 |
|
2014 |
Hamidi S, Andritsos P, Liaskos S. Constructing adaptive configuration dialogs using crowd data Ase 2014 - Proceedings of the 29th Acm/Ieee International Conference On Automated Software Engineering. 485-490. DOI: 10.1145/2642937.2642960 |
0.31 |
|
2014 |
Nguyen HV, Müller E, Andritsos P, Böhm K. Detecting correlated columns in relational databases with mixed data types Acm International Conference Proceeding Series. DOI: 10.1145/2618243.2618251 |
0.311 |
|
2013 |
Andritsos P, Keilty P. Level-wise exploration of linked and big data guided by controlled vocabularies and folksonomies Advances in Classification Research Online. 24. DOI: 10.7152/Acro.V24I1.14670 |
0.324 |
|
2013 |
Kilias T, Löser A, Andritsos P. INDREX: In-database distributional relation extraction International Conference On Information and Knowledge Management, Proceedings. 93-100. DOI: 10.1145/2513190.2513196 |
0.336 |
|
2012 |
Chiang F, Andritsos P, Zhu E, Miller RJ. AutoDict: Automated dictionary discovery Proceedings - International Conference On Data Engineering. 1277-1280. DOI: 10.1109/ICDE.2012.126 |
0.349 |
|
2008 |
Souza V, Zeni N, Kiyavitskaya N, Andritsos P, Mich L, Mylopoulos J. Automating the generation of semantic annotation tools using a clustering technique Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5039: 91-96. DOI: 10.1007/978-3-540-69858-6_10 |
0.38 |
|
2006 |
Andritsos P, Fuxman A, Miller RJ. Clean answers over dirty databases: A probabilistic approach Proceedings - International Conference On Data Engineering. 2006: 30. DOI: 10.1109/ICDE.2006.35 |
0.395 |
|
2005 |
Andritsos P, Tzerpos V. Information-theoretic software clustering Ieee Transactions On Software Engineering. 31: 150-165. DOI: 10.1109/Tse.2005.25 |
0.342 |
|
2004 |
Andritsos P, Miller RJ, Tsaparas P. Information-theoretic tools for mining database structure from large data sets Proceedings of the Acm Sigmod International Conference On Management of Data. 731-742. |
0.391 |
|
2004 |
Andritsos P, Tsaparas P, Miller RJ, Sevcik KC. LIMBO: Scalable clustering of categorical data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2992: 123-146. |
0.373 |
|
2003 |
Andritsos P, Tzerpos V. Software Clustering based on information Loss Minimization Reverse Engineering - Working Conference Proceedings. 334-344. DOI: 10.1109/WCRE.2003.1287264 |
0.446 |
|
2001 |
Andritsos P, Miller RJ. Reverse engineering meets data analysis Proceedings - Ieee Workshop On Program Comprehension. 2001: 157-166. DOI: 10.1109/WPC.2001.921727 |
0.35 |
|
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