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ORCIDKjetil Nørvåg
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- affiliation: Norwegian University of Science and Technology, Norway
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2020 – today
- 2024
[j39]Shiva Shadrooh, Kjetil Nørvåg:
SMoTeF: Smurf money laundering detection using temporal order and flow analysis. Appl. Intell. 54(15-16): 7461-7478 (2024)- [j38]Genoveva Vargas-Solar, Barbara Catania, Ester Zumpano, Kjetil Nørvåg, Silvia Chiusano, Tania Cerquitelli, Robert Wrembel:
Guest editorial: Papers selected from European conference on advances in databases and information systems. Comput. Sci. Inf. Syst. 21(3): v (2024) - [c129]George S. Theodoropoulos
, Kjetil Nørvåg, Christos Doulkeridis:
Efficient Semantic Similarity Search over Spatio-textual Data. EDBT 2024: 268-280 - 2023
- [j37]Akrivi Vlachou, Christos Doulkeridis, João B. Rocha-Junior, Kjetil Nørvåg:
Decisive skyline queries for truly balancing multiple criteria. Data Knowl. Eng. 147: 102206 (2023) - [c128]Hassan Abedi Firouzjaei, Dhruv Gupta, Kjetil Nørvåg:
Diversification of Top-k Geosocial Queries. ADBIS (Short Papers) 2023: 59-70 - 2022
- [j36]Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Report on the 44th European Conference on Information Retrieval (ECIR 2022): The First Major Hybrid IR Conference. SIGIR Forum 56(1): 8:1-8:12 (2022) - [c127]Akrivi Vlachou, Christos Doulkeridis, João B. Rocha-Junior, Kjetil Nørvåg:
On Decisive Skyline Queries. DaWaK 2022: 61-73 - [e8]Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Nørvåg, Barbara Catania, Genoveva Vargas-Solar, Ester Zumpano:
New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings. Communications in Computer and Information Science 1652, Springer 2022, ISBN 978-3-031-15742-4 [contents] - [e7]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13185, Springer 2022, ISBN 978-3-030-99735-9 [contents] - [e6]Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty:
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13186, Springer 2022, ISBN 978-3-030-99738-0 [contents] - 2021
- [j35]Thu-Lan Dam, Sean Chester, Kjetil Nørvåg, Quang-Huy Duong:
Efficient top-k recently-frequent term querying over spatio-temporal textual streams. Inf. Syst. 97: 101687 (2021) - [j34]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg, Thu-Lan Dam:
Density Guarantee on Finding Multiple Subgraphs and Subtensors. ACM Trans. Knowl. Discov. Data 15(5): 76:1-76:32 (2021) - [j33]Youcef Djenouri, Jerry Chun-Wei Lin, Kjetil Nørvåg, Heri Ramampiaro, Philip S. Yu:
Exploring Decomposition for Solving Pattern Mining Problems. ACM Trans. Manag. Inf. Syst. 12(2): 15:1-15:36 (2021) - 2020
- [j32]Asma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masseglia, Jerry Chun-Wei Lin:
Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities. Eng. Appl. Artif. Intell. 95: 103857 (2020) - [c126]Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Jerry Chun-Wei Lin:
Fast and Accurate Group Outlier Detection for Trajectory Data. ADBIS (Short Papers) 2020: 60-70 - [c125]Stella Maropaki, Sean Chester, Christos Doulkeridis, Kjetil Nørvåg:
Diversifying Top-k Point-of-Interest Queries via Collective Social Reach. CIKM 2020: 2149-2152 - [c124]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg:
Multiple Dense Subtensor Estimation with High Density Guarantee. ICDE 2020: 637-648 - [c123]Akrivi Vlachou, Christos Doulkeridis, Nikolaos Koutroumanis, Dimitrios Poulopoulos, Kjetil Nørvåg:
The SPADES Framework for Scalable Management of Spatio-textual Data. PCI 2020: 140-143
2010 – 2019
- 2019
- [j31]Christoph Trattner, Tomasz Kusmierczyk, Kjetil Nørvåg:
Investigating and predicting online food recipe upload behavior. Inf. Process. Manag. 56(3): 654-673 (2019) - [j30]Ozer Ozdikis, Heri Ramampiaro, Kjetil Nørvåg:
Locality-adapted kernel densities of term co-occurrences for location prediction of tweets. Inf. Process. Manag. 56(4): 1280-1299 (2019) - [j29]Kjetil Nørvåg, Mirjana Ivanovic, Marite Kirikova, Bernhard Thalheim:
Advances in Databases and Information Systems (ADBIS) 2016 & 2017. Inf. Syst. 82: 88-89 (2019) - [j28]Thu-Lan Dam, Heri Ramampiaro, Kjetil Nørvåg, Quang-Huy Duong:
Towards efficiently mining closed high utility itemsets from incremental databases. Knowl. Based Syst. 165: 13-29 (2019) - [c122]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg:
Sketching Streaming Histogram Elements using Multiple Weighted Factors. CIKM 2019: 19-28 - [c121]Youcef Djenouri, Jerry Chun-Wei Lin, Kjetil Nørvåg, Heri Ramampiaro:
Highly Efficient Pattern Mining Based on Transaction Decomposition. ICDE 2019: 1646-1649 - [e5]Walid G. Aref, Michela Bertolotto, Panagiotis Bouros, Christian S. Jensen, Ahmed R. Mahmood, Kjetil Nørvåg, Dimitris Sacharidis, Mohamed Sarwat:
Proceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019, Vienna, Austria, August 19-21, 2019. ACM 2019, ISBN 978-1-4503-6280-1 [contents] - 2018
- [j27]Quang-Huy Duong, Philippe Fournier-Viger, Heri Ramampiaro, Kjetil Nørvåg, Thu-Lan Dam:
Efficient high utility itemset mining using buffered utility-lists. Appl. Intell. 48(7): 1859-1877 (2018) - [j26]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg:
Applying temporal dependence to detect changes in streaming data. Appl. Intell. 48(12): 4805-4823 (2018) - [j25]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg, Philippe Fournier-Viger, Thu-Lan Dam:
High utility drift detection in quantitative data streams. Knowl. Based Syst. 157: 34-51 (2018) - [c120]Tomasz Kusmierczyk, Kjetil Nørvåg:
On Validation and Predictability of Digital Badges' Influence on Individual Users. AAAI 2018: 322-329 - [c119]Ozer Ozdikis, Heri Ramampiaro, Kjetil Nørvåg:
Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets. ECIR 2018: 494-506 - [c118]Ozer Ozdikis, Heri Ramampiaro, Kjetil Nørvåg:
Locality-adapted Kernel Densities for Tweet Localization. SIGIR 2018: 1149-1152 - [e4]Natasha Alechina, Kjetil Nørvåg, Wojciech Penczek:
25th International Symposium on Temporal Representation and Reasoning, TIME 2018, Warsaw, Poland, October 15-17, 2018. LIPIcs 120, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2018, ISBN 978-3-95977-089-7 [contents] - 2017
- [j24]Orestis Gkorgkas, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Exploratory product search using top-k join queries. Inf. Syst. 64: 75-92 (2017) - [c117]Jan R. Benetka, Krisztian Balog, Kjetil Nørvåg:
Towards Building a Knowledge Base of Monetary Transactions from a News Collection. JCDL 2017: 209-218 - [c116]Jan R. Benetka, Krisztian Balog, Kjetil Nørvåg:
Anticipating Information Needs Based on Check-in Activity. WSDM 2017: 41-50 - [e3]Marite Kirikova, Kjetil Nørvåg, George A. Papadopoulos, Johann Gamper, Robert Wrembel, Jérôme Darmont, Stefano Rizzi:
New Trends in Databases and Information Systems - ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings. Communications in Computer and Information Science 767, Springer 2017, ISBN 978-3-319-67161-1 [contents] - [e2]Marite Kirikova, Kjetil Nørvåg, George A. Papadopoulos:
Advances in Databases and Information Systems - 21st European Conference, ADBIS 2017, Nicosia, Cyprus, September 24-27, 2017, Proceedings. Lecture Notes in Computer Science 10509, Springer 2017, ISBN 978-3-319-66916-8 [contents] - [i5]Jan R. Benetka, Krisztian Balog, Kjetil Nørvåg:
Towards Building a Knowledge Base of Monetary Transactions from a News Collection. CoRR abs/1709.05743 (2017) - [i4]Jan R. Benetka, Krisztian Balog, Kjetil Nørvåg:
Anticipating Information Needs Based on Check-in Activity. CoRR abs/1709.05749 (2017) - [i3]Tomasz Kusmierczyk, Kjetil Nørvåg:
Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features. CoRR abs/1710.01716 (2017) - 2016
- [j23]Kjetil Nørvåg:
Introduction to the TPDL 2016 Doctoral Consortium. Bull. IEEE Tech. Comm. Digit. Libr. 12(2) (2016) - [c115]Mei Saouk, Christos Doulkeridis, Akrivi Vlachou, Kjetil Nørvåg:
Efficient processing of top-k joins in MapReduce. IEEE BigData 2016: 570-577 - [c114]Tomasz Kusmierczyk, Kjetil Nørvåg:
Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics. CIKM 2016: 2013-2016 - [c113]Sean Chester, Orestis Gkorgkas, Kjetil Nørvåg:
Top-k Dominating Queries, in Parallel, in Memory. EDBT 2016: 698-699 - [c112]Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg:
Understanding and Predicting Online Food Recipe Production Patterns. HT 2016: 243-248 - [i2]Christoph Trattner, Tomasz Kusmierczyk, Kjetil Nørvåg:
FOODWEB - Studying Food Consumption and Production Patterns on the Web. ERCIM News 2016(104) (2016) - 2015
- [j22]Nattiya Kanhabua, Roi Blanco, Kjetil Nørvåg:
Temporal Information Retrieval. Found. Trends Inf. Retr. 9(2): 91-208 (2015) - [c111]Tomasz Kusmierczyk, Kjetil Nørvåg:
Mining Correlations on Massive Bursty Time Series Collections. DASFAA (1) 2015: 55-71 - [c110]Jan Rybak, Krisztian Balog, Kjetil Nørvåg:
IR Game: How well do you Know Information Retrieval Papers? GamifIR@ECIR 2015: 7-12 - [c109]Orestis Gkorgkas, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Finding the Most Diverse Products using Preference Queries. EDBT 2015: 205-216 - [c108]Santiago Larrain, Christoph Trattner, Denis Parra, Eduardo Graells-Garrido, Kjetil Nørvåg:
Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging. RecSys 2015: 269-272 - [c107]Orestis Gkorgkas, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Maximizing Influence of Spatio-Textual Objects Based on Keyword Selection. SSTD 2015: 413-430 - [c106]Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg:
Temporality in Online Food Recipe Consumption and Production. WWW (Companion Volume) 2015: 55-56 - [c105]Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg:
Temporal Patterns in Online Food Innovation. WWW (Companion Volume) 2015: 1345-1350 - 2014
- [j21]Christos Doulkeridis, Kjetil Nørvåg:
A survey of large-scale analytical query processing in MapReduce. VLDB J. 23(3): 355-380 (2014) - [c104]Stian Liknes, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
APSkyline: Improved Skyline Computation for Multicore Architectures. DASFAA (1) 2014: 312-326 - [c103]Jan Rybak, Krisztian Balog, Kjetil Nørvåg:
Temporal Expertise Profiling. ECIR 2014: 540-546 - [c102]Dimitrios Kotsakos, Theodoros Lappas, Dimitrios Kotzias, Dimitrios Gunopulos, Nattiya Kanhabua, Kjetil Nørvåg:
A burstiness-aware approach for document dating. SIGIR 2014: 1003-1006 - [c101]Jan Rybak, Krisztian Balog, Kjetil Nørvåg:
ExperTime: tracking expertise over time. SIGIR 2014: 1273-1274 - [c100]Orestis Gkorgkas, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Efficient processing of exploratory top-k joins. SSDBM 2014: 35:1-35:4 - 2013
- [j20]Kostas Stefanidis, Eirini Ntoutsi, Mihalis Petropoulos, Kjetil Nørvåg, Hans-Peter Kriegel:
A Framework for Modeling, Computing and Presenting Time-Aware Recommendations. Trans. Large Scale Data Knowl. Centered Syst. 10: 146-172 (2013) - [c99]Orestis Gkorgkas, Kostas Stefanidis, Kjetil Nørvåg:
A Framework for Grouping and Summarizing Keyword Search Results. ADBIS 2013: 246-259 - [c98]George Tsatsaronis, Iraklis Varlamis, Nattiya Kanhabua, Kjetil Nørvåg:
Temporal Classifiers for Predicting the Expansion of Medical Subject Headings. CICLing (1) 2013: 98-113 - [c97]Marek Ciglan, Michal Laclavik, Kjetil Nørvåg:
On community detection in real-world networks and the importance of degree assortativity. KDD 2013: 1007-1015 - [c96]Krisztian Balog, Heri Ramampiaro, Naimdjon Takhirov, Kjetil Nørvåg:
Multi-step classification approaches to cumulative citation recommendation. OAIR 2013: 121-128 - [c95]Krisztian Balog, Heri Ramampiaro, Kjetil Nørvåg:
KBAAA: a web-based toolkit for the assessment and analysis of knowledge base acceleration systems. OAIR 2013: 215-216 - [c94]Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis:
Branch-and-bound algorithm for reverse top-k queries. SIGMOD Conference 2013: 481-492 - [c93]Orestis Gkorgkas, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Discovering Influential Data Objects over Time. SSTD 2013: 110-127 - [e1]Chee Yong Chan, Jiaheng Lu, Kjetil Nørvåg, Egemen Tanin:
Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013. IEEE Computer Society 2013, ISBN 978-1-4673-5303-8 [contents] - [i1]Kostas Stefanidis, Kjetil Nørvåg:
gRecs: Exploiting the Power of Data Mining Techniques for Efficient Computation of Group Recommendations. ERCIM News 2013(92) (2013) - 2012
- [b1]Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis:
Peer-to-Peer Query Processing over Multidimensional Data. Springer Briefs in Computer Science, Springer 2012, ISBN 978-1-4614-2109-2, pp. i-xii, 1-84 - [j19]Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Distributed top-k query processing by exploiting skyline summaries. Distributed Parallel Databases 30(3-4): 239-271 (2012) - [c92]Krisztian Balog, Kjetil Nørvåg:
On the use of semantic knowledge bases for temporally-aware entity retrieval. ESAIR 2012: 1-2 - [c91]George Tsatsaronis, Iraklis Varlamis, Kjetil Nørvåg:
SemaFor: semantic document indexing using semantic forests. CIKM 2012: 1692-1696 - [c90]Nattiya Kanhabua, Kjetil Nørvåg:
Learning to rank search results for time-sensitive queries. CIKM 2012: 2463-2466 - [c89]Nattiya Kanhabua, Kjetil Nørvåg:
Estimating query difficulty for news prediction retrieval. CIKM 2012: 2623-2626 - [c88]Christos Doulkeridis, Kjetil Nørvåg:
On saying "enough already!" in MapReduce. Cloud-I 2012: 7 - [c87]Irene Ntoutsi, Kostas Stefanidis, Kjetil Nørvåg, Hans-Peter Kriegel:
gRecs: A Group Recommendation System Based on User Clustering. DASFAA (2) 2012: 299-303 - [c86]Kostas Stefanidis, Irene Ntoutsi, Kjetil Nørvåg, Hans-Peter Kriegel:
A Framework for Time-Aware Recommendations. DEXA (2) 2012: 329-344 - [c85]Robert Neumayer, Krisztian Balog, Kjetil Nørvåg:
On the Modeling of Entities for Ad-Hoc Entity Search in the Web of Data. ECIR 2012: 133-145 - [c84]Robert Neumayer, Krisztian Balog, Kjetil Nørvåg:
When Simple is (more than) Good Enough: Effective Semantic Search with (almost) no Semantics. ECIR 2012: 540-543 - [c83]João B. Rocha-Junior, Kjetil Nørvåg:
Top-k spatial keyword queries on road networks. EDBT 2012: 168-179 - [c82]Kostas Stefanidis, Nafiseh Shabib, Kjetil Nørvåg, John Krogstie:
Contextual Recommendations for Groups. ER Workshops 2012: 89-97 - [c81]Eirini Ntoutsi, Kostas Stefanidis, Kjetil Nørvåg, Hans-Peter Kriegel:
Fast Group Recommendations by Applying User Clustering. ER 2012: 126-140 - [c80]Robert Neumayer, Krisztian Balog, Kjetil Nørvåg:
Ranking Distributed Knowledge Repositories. TPDL 2012: 486-491 - [c79]Christos Doulkeridis, Akrivi Vlachou, Kjetil Nørvåg, Yannis Kotidis, Neoklis Polyzotis:
Processing of Rank Joins in Highly Distributed Systems. ICDE 2012: 606-617 - [c78]Eivind Bjørkelund, Thomas H. Burnett, Kjetil Nørvåg:
A study of opinion mining and visualization of hotel reviews. iiWAS 2012: 229-238 - [c77]Nattiya Kanhabua, Klaus Berberich, Kjetil Nørvåg:
Learning to select a time-aware retrieval model. SIGIR 2012: 1099-1100 - [c76]Krisztian Balog, Robert Neumayer, Kjetil Nørvåg:
Collection Ranking and Selection for Federated Entity Search. SPIRE 2012: 73-85 - [c75]Marek Ciglan, Kjetil Nørvåg, Ladislav Hluchý:
The SemSets model for ad-hoc semantic list search. WWW 2012: 131-140 - 2011
- [j18]Robert Neumayer, Christos Doulkeridis, Kjetil Nørvåg:
A hybrid approach for estimating document frequencies in unstructured P2P networks. Inf. Syst. 36(3): 579-595 (2011) - [j17]Akrivi Vlachou, Christos Doulkeridis, Yannis Kotidis, Kjetil Nørvåg:
Monochromatic and Bichromatic Reverse Top-k Queries. IEEE Trans. Knowl. Data Eng. 23(8): 1215-1229 (2011) - [c74]Norvald H. Ryeng, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Efficient Distributed Top-k Query Processing with Caching. DASFAA (2) 2011: 280-295 - [c73]Robert Neumayer, Rudolf Mayer, Kjetil Nørvåg:
Combination of Feature Selection Methods for Text Categorisation. ECIR 2011: 763-766 - [c72]João B. Rocha-Junior, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Efficient execution plans for distributed skyline query processing. EDBT 2011: 271-282 - [c71]George Tsatsaronis, Iraklis Varlamis, Sunna Torge, Matthias Reimann, Kjetil Nørvåg, Michael Schroeder, Matthias Zschunke:
How to Become a Group Leader? or Modeling Author Types Based on Graph Mining. TPDL 2011: 15-26 - [c70]Robert Neumayer, Kjetil Nørvåg:
Evaluation of Feature Combination Approaches for Text Categorisation. ISMIS 2011: 438-448 - [c69]Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Monitoring reverse top-k queries over mobile devices. MobiDE 2011: 17-24 - [c68]Robert Neumayer, George Tsatsaronis, Kjetil Nørvåg:
TRUMIT: A Tool to Support Large-Scale Mining of Text Association Rules. ECML/PKDD (3) 2011: 646-649 - [c67]Norvald H. Ryeng, Jon Olav Hauglid, Kjetil Nørvåg:
Site-autonomous distributed semantic caching. SAC 2011: 1015-1021 - [c66]Nattiya Kanhabua, Kjetil Nørvåg:
Time-based query performance predictors. SIGIR 2011: 1181-1182 - [c65]Nattiya Kanhabua, Kjetil Nørvåg:
A comparison of time-aware ranking methods. SIGIR 2011: 1257-1258 - [c64]João B. Rocha-Junior, Orestis Gkorgkas, Simon Jonassen, Kjetil Nørvåg:
Efficient Processing of Top-k Spatial Keyword Queries. SSTD 2011: 205-222 - [p2]Jon Olav Hauglid, Norvald H. Ryeng, Kjetil Nørvåg:
The DASCOSA-DB Grid Database System. Grid and Cloud Database Management 2011: 87-106 - 2010
- [j16]Jon Olav Hauglid, Norvald H. Ryeng, Kjetil Nørvåg:
DYFRAM: dynamic fragmentation and replica management in distributed database systems. Distributed Parallel Databases 28(2-3): 157-185 (2010) - [j15]Christos Doulkeridis, Akrivi Vlachou, Kjetil Nørvåg, Yannis Kotidis, Michalis Vazirgiannis:
Efficient search based on content similarity over self-organizing P2P networks. Peer-to-Peer Netw. Appl. 3(1): 67-79 (2010) - [j14]Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis:
Identifying the Most Influential Data Objects with Reverse Top-k Queries. Proc. VLDB Endow. 3(1): 364-372 (2010) - [j13]João B. Rocha-Junior, Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg:
Efficient Processing of Top-k Spatial Preference Queries. Proc. VLDB Endow. 4(2): 93-104 (2010) - [c63]Christian Bohn, Kjetil Nørvåg:
Extracting Named Entities and Synonyms from Wikipedia. AINA 2010: 1300-1307 - [c62]Marek Ciglan, Etienne Rivière, Kjetil Nørvåg:
Learning to Find Interesting Connections in Wikipedia. APWeb 2010: 243-249 - [c61]George Tsatsaronis, Iraklis Varlamis, Kjetil Nørvåg:
An Experimental Study on Unsupervised Graph-based Word Sense Disambiguation. CICLing 2010: 184-198 - [c60]Christos Doulkeridis, Akrivi Vlachou, Kjetil Nørvåg, Yannis Kotidis, Michalis Vazirgiannis:
On the selectivity of multidimensional routing indices. CIKM 2010: 109-118 - [c59]Marek Ciglan, Kjetil Nørvåg:
WikiPop: personalized event detection system based on Wikipedia page view statistics. CIKM 2010: 1931-1932 - [c58]George Tsatsaronis, Iraklis Varlamis, Kjetil Nørvåg:
SemanticRank: Ranking Keywords and Sentences Using Semantic Graphs. COLING 2010: 1074-1082 - [c57]Marek Ciglan, Kjetil Nørvåg:
SGDB - Simple Graph Database Optimized for Activation Spreading Computation. DASFAA Workshops 2010: 45-56 - [c56]Nattiya Kanhabua, Kjetil Nørvåg:
Determining Time of Queries for Re-ranking Search Results. ECDL 2010: 261-272 - [c55]Akrivi Vlachou, Christos Doulkeridis, Yannis Kotidis, Kjetil Nørvåg:
Reverse top-k queries. ICDE 2010: 365-376 - [c54]Xiangliang Zhang, Wei Wang, Kjetil Nørvåg, Michèle Sebag:
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation. ICDM 2010: 1187-1192 - [c53]Nattiya Kanhabua, Kjetil Nørvåg:
Exploiting time-based synonyms in searching document archives. JCDL 2010: 79-88 - [c52]