default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNick Koudas
Person information
- affiliation: University of Toronto, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c148]Ioannis Xarchakos, Nick Koudas:
Coping With Data Drift in Online Video Analytics. EDBT 2025: 39-52- [c147]Daren Chao, Nick Koudas, Xiaohui Yu, Yueting Chen:
Ensembling Object Detectors for Effective Video Query Processing. EDBT 2025: 66-79 - [c146]Naiqing Guan, Kaiwen Chen, Nick Koudas:
DataSculpt: Cost-Efficient Label Function Design via Prompting Large Language Models. EDBT 2025: 226-232 - [c145]Akshay A. Bapat, Saravanan Thirumuruganathan, Nick Koudas:
Pythia: A Neural Model for Data Prefetching. EDBT 2025: 384-396 - [i21]Kaiwen Chen, Yueting Chen, Xiaohui Yu, Nick Koudas:
Reliable Text-to-SQL with Adaptive Abstention. CoRR abs/2501.10858 (2025) - 2024
- [j54]Yifan Li
, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Model Confidence. Proc. ACM Manag. Data 2(3): 131 (2024) - [j53]Kaiwen Chen, Nick Koudas:
Unstructured Data Fusion for Schema and Data Extraction. Proc. ACM Manag. Data 2(3): 181 (2024) - [j52]Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu:
Optimizing Video Queries with Declarative Clues. Proc. VLDB Endow. 17(11): 3256-3268 (2024) - [j51]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks. IEEE Trans. Knowl. Data Eng. 36(7): 2759-2773 (2024) - [c144]Daren Chao, Nick Koudas:
Querying For Actions Over Videos. EDBT 2024: 162-174 - [c143]Naiqing Guan, Nick Koudas:
ActiveDP: Bridging Active Learning and Data Programming. EDBT 2024: 515-521 - [c142]Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs. ICKG 2024: 75-84 - [i20]Naiqing Guan, Nick Koudas:
ActiveDP: Bridging Active Learning and Data Programming. CoRR abs/2402.06056 (2024) - [i19]Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. CoRR abs/2403.00198 (2024) - [i18]Naiqing Guan, Nick Koudas:
WeShap: Weak Supervision Source Evaluation with Shapley Values. CoRR abs/2406.11010 (2024) - 2023
- [j50]Yifan Li, Xiaohui Yu, Nick Koudas, Shu Lin, Calvin Sun, Chong Chen:
dbET: Execution Time Distribution-based Plan Selection. Proc. ACM Manag. Data 1(1): 31:1-31:26 (2023) - [j49]Ioannis Xarchakos, Nick Koudas:
Querying for Interactions. IEEE Trans. Knowl. Data Eng. 35(2): 1977-1990 (2023) - [c141]Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu:
Track Merging for Effective Video Query Processing. ICDE 2023: 164-176 - [c140]Daren Chao, Nick Koudas, Xiaohui Yu:
Marshalling Model Inference in Video Streams. ICDE 2023: 1379-1392 - [c139]Daren Chao, Kaiwen Chen, Nick Koudas:
SVQ-ACT: Querying for Actions over Videos. ICDE 2023: 3599-3602 - [i17]Naiqing Guan, Kaiwen Chen, Nick Koudas:
Can Large Language Models Design Accurate Label Functions? CoRR abs/2311.00739 (2023) - [i16]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation over Dynamic Road Networks. CoRR abs/2312.12687 (2023) - 2022
- [j48]Yueting Chen, Nick Koudas, Xiaohui Yu, Ziqiang Yu:
Spatial and Temporal Constrained Ranked Retrieval over Videos. Proc. VLDB Endow. 15(11): 3226-3239 (2022) - [j47]Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. Proc. VLDB Endow. 15(12): 3642-3645 (2022) - [j46]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. IEEE Trans. Knowl. Data Eng. 34(10): 5023-5036 (2022) - [c138]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. ICDE 2022: 2709-2721 - [c137]Yueting Chen, Xiaohui Yu, Nick Koudas:
Ranked Window Query Retrieval over Video Repositories. ICDE 2022: 2776-2791 - [c136]Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das:
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. ICDE 2022: 3051-3064 - [c135]Naiqing Guan, Nick Koudas:
FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget. SIGMOD Conference 2022: 1784-1794 - [i15]Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. CoRR abs/2203.12978 (2022) - 2021
- [j45]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. Proc. VLDB Endow. 14(10): 1832-1844 (2021) - [j44]Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based exact set similarity search. Proc. VLDB Endow. 14(11): 2073-2086 (2021) - [c134]Zhaoyue Cheng, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models over Normalized Data. ICDE 2021: 1140-1151 - [c133]Yannis Xarchakos, Nick Koudas:
Querying for Interactions. ICDE 2021: 2153-2158 - [c132]Yueting Chen, Xiaohui Yu, Nick Koudas, Ziqiang Yu:
Evaluating Temporal Queries Over Video Feeds. SIGMOD Conference 2021: 287-299 - [c131]Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. SIGMOD Conference 2021: 2235-2243 - [i14]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. CoRR abs/2105.14107 (2021) - [i13]Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based Exact Set Similarity Search. CoRR abs/2107.10417 (2021) - 2020
- [j43]Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. Proc. VLDB Endow. 14(4): 471-484 (2020) - [c130]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. ICDE 2020: 1285-1296 - [c129]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing for Data Exploration using Deep Generative Models. ICDE 2020: 1309-1320 - [c128]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. SIGMOD Conference 2020: 665-679 - [c127]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. SIGMOD Conference 2020: 1035-1050 - [c126]Yueting Chen, Xiaohui Yu, Nick Koudas:
TQVS: Temporal Queries over Video Streams in Action. SIGMOD Conference 2020: 2737-2740 - [c125]Daren Chao, Nick Koudas, Ioannis Xarchakos:
SVQ++: Querying for Object Interactions in Video Streams. SIGMOD Conference 2020: 2769-2772 - [i12]Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. CoRR abs/2002.10537 (2020) - [i11]Yueting Chen, Xiaohui Yu, Nick Koudas:
Evaluating Temporal Queries Over Video Feeds. CoRR abs/2003.00953 (2020) - [i10]Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k queries over digital traces. CoRR abs/2003.09009 (2020) - [i9]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. CoRR abs/2004.02580 (2020) - [i8]Zhaoyue Chen, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models overNormalized Data. CoRR abs/2011.11682 (2020)
2010 – 2019
- 2019
- [j42]Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. Proc. VLDB Endow. 12(12): 1906-1909 (2019) - [c124]Zhaoyue Cheng, Nick Koudas:
Nonlinear Models Over Normalized Data. ICDE 2019: 1574-1577 - [c123]Sahel Sharify, Alan W. Lu, Jin Chen, Arnamoy Bhattacharyya, Ali B. Hashemi, Nick Koudas, Cristiana Amza:
An Improved Dynamic Vertical Partitioning Technique for Semi-Structured Data. ISPASS 2019: 243-256 - [c122]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) 2019: 327-345 - [c121]Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
Interpreting deep learning models for entity resolution: an experience report using LIME. aiDM@SIGMOD 2019: 8:1-8:4 - [c120]Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k Queries over Digital Traces. SIGMOD Conference 2019: 954-971 - [c119]Ioannis Xarchakos, Nick Koudas:
SVQ: Streaming Video Queries. SIGMOD Conference 2019: 2013-2016 - [i7]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Multi-Attribute Selectivity Estimation Using Deep Learning. CoRR abs/1903.09999 (2019) - [i6]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing using Deep Generative Models. CoRR abs/1903.10000 (2019) - 2018
- [j41]Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. Proc. VLDB Endow. 11(11): 1468-1481 (2018) - 2017
- [c118]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CIKM 2017: 407-416 - [i5]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CoRR abs/1703.00080 (2017) - [i4]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. CoRR abs/1705.03028 (2017) - 2015
- [c117]Suprio Ray, Angela Demke Brown, Nick Koudas, Rolando Blanco, Anil K. Goel:
Parallel in-memory trajectory-based spatiotemporal topological join. IEEE BigData 2015: 361-370 - [c116]Milad Eftekhar, Nick Koudas, Yashar Ganjali:
Reaching a desired set of users via different paths: an online advertising technique on micro-blogging platforms. EDBT 2015: 181-192 - [i3]Priyank Gupta, Nick Koudas, Europa Shang, Ryan Johnson, Calisto Zuzarte:
Processing Analytical Workloads Incrementally. CoRR abs/1509.05066 (2015) - 2014
- [j40]Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas:
Sharing across Multiple MapReduce Jobs. ACM Trans. Database Syst. 39(2): 12:1-12:46 (2014) - [j39]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava, Michael Svendsen, Srikanta Tirthapura:
Dense subgraph maintenance under streaming edge weight updates for real-time story identification. VLDB J. 23(2): 175-199 (2014) - [c115]Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, Nick Koudas:
Price trade-offs in social media advertising. COSN 2014: 169-176 - [c114]Alex Cheng, Mary Malit, Chuanxi Zhang, Nick Koudas:
SerpentTI: flexible analytics of users, boards and domains for pinterest. SIGMOD Conference 2014: 1075-1078 - 2013
- [j38]Milad Eftekhar, Nick Koudas:
Some Research Opportunities on Twitter Advertising. IEEE Data Eng. Bull. 36(3): 77-82 (2013) - [j37]Milad Eftekhar, Nick Koudas:
Partitioning and Ranking Tagged Data Sources. Proc. VLDB Endow. 6(4): 229-240 (2013) - [j36]Manos Papagelis, Gautam Das, Nick Koudas:
Sampling Online Social Networks. IEEE Trans. Knowl. Data Eng. 25(3): 662-676 (2013) - [c113]Liwei Lin, Xiaohui Yu, Nick Koudas:
Pollux: towards scalable distributed real-time search on microblogs. EDBT 2013: 335-346 - [c112]Milad Eftekhar, Yashar Ganjali, Nick Koudas:
Information cascade at group scale. KDD 2013: 401-409 - [c111]Alex Cheng, Nilesh Bansal, Nick Koudas:
Peckalytics: analyzing experts and interests on Twitter. SIGMOD Conference 2013: 973-976 - [c110]Milad Eftekhar, Nick Koudas, Yashar Ganjali:
Bursty subgraphs in social networks. WSDM 2013: 213-222 - 2012
- [j35]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava:
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification. Proc. VLDB Endow. 5(6): 574-585 (2012) - [i2]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava:
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification. CoRR abs/1203.0060 (2012) - 2011
- [j34]Nick Koudas:
Letter from the Research Track Co-Chair. Proc. VLDB Endow. 4(4): vi (2011) - [c109]Albert Angel, Nick Koudas:
Efficient diversity-aware search. SIGMOD Conference 2011: 781-792 - 2010
- [j33]Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, Nick Koudas:
MRShare: Sharing Across Multiple Queries in MapReduce. Proc. VLDB Endow. 3(1): 494-505 (2010) - [j32]Michael Mathioudakis, Nilesh Bansal, Nick Koudas:
Identifying, Attributing and Describing Spatial Bursts. Proc. VLDB Endow. 3(1): 1091-1102 (2010) - [j31]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vagelis Hristidis, Nick Koudas:
An Access Cost-Aware Approach for Object Retrieval over Multiple Sources. Proc. VLDB Endow. 3(1): 1125-1136 (2010) - [j30]Xiaokui Xiao, Yufei Tao, Nick Koudas:
Transparent anonymization: Thwarting adversaries who know the algorithm. ACM Trans. Database Syst. 35(2): 8:1-8:48 (2010) - [j29]Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou:
Streaming multiple aggregations using phantoms. VLDB J. 19(4): 557-583 (2010) - [c108]Dimitris Tsirogiannis, Nick Koudas:
Suffix tree construction algorithms on modern hardware. EDBT 2010: 263-274 - [c107]Nikos Sarkas, Albert Angel, Nick Koudas, Divesh Srivastava:
Efficient identification of coupled entities in document collections. ICDE 2010: 769-772 - [c106]Michael Mathioudakis, Nick Koudas:
TwitterMonitor: trend detection over the twitter stream. SIGMOD Conference 2010: 1155-1158 - [c105]Sihem Amer-Yahia, AnHai Doan, Jon M. Kleinberg, Nick Koudas, Michael J. Franklin:
Crowds, clouds, and algorithms: exploring the human side of "big data" applications. SIGMOD Conference 2010: 1259-1260 - [c104]Michael Mathioudakis, Nick Koudas, Peter Marbach:
Early online identification of attention gathering items in social media. WSDM 2010: 301-310 - [e2]Jimmy X. Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An:
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010. ACM 2010, ISBN 978-1-4503-0099-5 [contents] - [i1]Xiaokui Xiao, Yufei Tao, Nick Koudas:
Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm. CoRR abs/1003.5080 (2010)
2000 – 2009
- 2009
- [j28]Demetrios Zeinalipour-Yazti, Zografoula Vagena, Vana Kalogeraki, Dimitrios Gunopulos, Vassilis J. Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava:
Finding the K highest-ranked answers in a distributed network. Comput. Networks 53(9): 1431-1449 (2009) - [j27]Nikos Sarkas, Nilesh Bansal, Gautam Das, Nick Koudas:
Measure-driven Keyword-Query Expansion. Proc. VLDB Endow. 2(1): 121-132 (2009) - [j26]Nikos Sarkas, Gautam Das, Nick Koudas:
Improved Search for Socially Annotated Data. Proc. VLDB Endow. 2(1): 778-789 (2009) - [j25]Dimitris Tsirogiannis, Sudipto Guha, Nick Koudas:
Improving the Performance of List Intersection. Proc. VLDB Endow. 2(1): 838-849 (2009) - [j24]Nick Koudas, Divesh Srivastava, Ting Yu, Qing Zhang:
Distribution-based Microdata Anonymization. Proc. VLDB Endow. 2(1): 958-969 (2009) - [j23]Ahmet Bulut, Nick Koudas, Anand Meka, Ambuj K. Singh, Divesh Srivastava:
Optimization Techniques for Reactive Network Monitoring. IEEE Trans. Knowl. Data Eng. 21(9): 1343-1357 (2009) - [j22]Chaitanya Mishra, Nick Koudas:
The design of a query monitoring system. ACM Trans. Database Syst. 34(1): 1:1-1:51 (2009) - [j21]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas:
Anytime measures for top-k algorithms on exact and fuzzy data sets. VLDB J. 18(2): 407-427 (2009) - [c103]Michael Mathioudakis, Nick Koudas:
Efficient identification of starters and followers in social media. EDBT 2009: 708-719 - [c102]Chaitanya Mishra, Nick Koudas:
Interactive query refinement. EDBT 2009: 862-873 - [c101]Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas:
Ranking objects based on relationships and fixed associations. EDBT 2009: 910-921 - [c100]Chaitanya Mishra, Nick Koudas:
Join Reordering by Join Simulation. ICDE 2009: 493-504 - [c99]Nick Koudas, Avishek Saha, Divesh Srivastava, Suresh Venkatasubramanian:
Metric Functional Dependencies. ICDE 2009: 1275-1278 - [c98]Manos Papagelis, Nilesh Bansal, Nick Koudas:
Information Cascades in the Blogosphere: A Look Behind the Curtain. ICWSM 2009 - [c97]Marios Hadjieleftheriou, Nick Koudas, Divesh Srivastava:
Incremental maintenance of length normalized indexes for approximate string matching. SIGMOD Conference 2009: 429-440 - [c96]Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Srivastava:
What's on the grapevine? SIGMOD Conference 2009: 1047-1050 - [c95]Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G. Ipeirotis, Nick Koudas, Dimitris Papadias:
Query by document. WSDM 2009: 34-43 - 2008
- [j20]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon:
On space constrained set selection problems. Data Knowl. Eng. 67(1): 200-218 (2008) - [j19]Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, Divesh Srivastava:
Hashed samples: selectivity estimators for set similarity selection queries. Proc. VLDB Endow. 1(1): 201-212 (2008) - [c94]Gautam Das, Nick Koudas, Manos Papagelis, Sushruth Puttaswamy:
Efficient sampling of information in social networks. SSM 2008: 67-74 - [c93]Lukasz Golab, Theodore Johnson, Nick Koudas, Divesh Srivastava, David Toman:
Optimizing away joins on data streams. SSPS 2008: 48-57 - [c92]Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian:
Validating Multi-column Schema Matchings by Type. ICDE 2008: 120-129 - [c91]Marios Hadjieleftheriou, Amit Chandel, Nick Koudas, Divesh Srivastava:
Fast Indexes and Algorithms for Set Similarity Selection Queries. ICDE 2008: 267-276 - [c90]Nilesh Bansal, Sudipto Guha, Nick Koudas:
Ad-hoc aggregations of ranked lists in the presence of hierarchies. SIGMOD Conference 2008: 67-78 - [c89]Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. H. Tung:
Categorical skylines for streaming data. SIGMOD Conference 2008: 239-250 - [c88]Chaitanya Mishra, Nick Koudas, Calisto Zuzarte:
Generating targeted queries for database testing. SIGMOD Conference 2008: 499-510 - [c87]Chaitanya Mishra, Nick Koudas:
Stretch 'n' shrink: resizing queries to user preferences. SIGMOD Conference 2008: 1227-1230 - [c86]Nick Koudas:
Adventures in the Blogosphere. SSDBM 2008: 2 - 2007
- [j18]Nick Koudas:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 30(2): 5 (2007) - [j17]Zhiyuan Chen, Johannes Gehrke, Flip Korn, Nick Koudas, Jayavel Shanmugasundaram, Divesh Srivastava:
Index structures for matching XML twigs using relational query processors. Data Knowl. Eng. 60(2): 283-302 (2007) - [j16]Arturas Mazeika, Michael H. Böhlen, Nick Koudas, Divesh Srivastava:
Estimating the selectivity of approximate string queries. ACM Trans. Database Syst. 32(2): 12 (2007) - [c85]Qing Zhang, Nick Koudas, Divesh Srivastava, Ting Yu:
Aggregate Query Answering on Anonymized Tables. ICDE 2007: 116-125 - [c84]Byung-Won On, Nick Koudas, Dongwon Lee, Divesh Srivastava:
Group Linkage. ICDE 2007: 496-505 - [c83]Amit Chandel, Nick Koudas, Ken Q. Pu, Divesh Srivastava:
Fast Identification of Relational Constraint Violations. ICDE 2007: 776-785 - [c82]Nick Koudas, Amit Marathe, Divesh Srivastava:
Propagating Updates in SPIDER. ICDE 2007: 1146-1153 - [c81]Mohamed A. Soliman, Ihab F. Ilyas, Nick Koudas:
Finding Skyline and Top-k Bargaining Solutions. ICDE 2007: 1263-1267 - [c80]Chaitanya Mishra, Nick Koudas:
A Lightweight Online Framework For Query Progress Indicators. ICDE 2007: 1292-1296 - [c79]Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Mohammad Sadoghi, Divesh Srivastava:
Benchmarking declarative approximate selection predicates. SIGMOD Conference 2007: 353-364 - [c78]Gautam Das, Dimitrios Gunopulos, Nick Koudas, Nikos Sarkas:
Ad-hoc Top-k Query Answering for Data Streams. VLDB 2007: 183-194 - [c77]Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. Tompa:
Seeking Stable Clusters in the Blogosphere. VLDB 2007: 806-817 - [c76]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas:
Anytime Measures for Top-k Algorithms. VLDB 2007: 914-925 - [c75]Nilesh Bansal, Nick Koudas:
BlogScope: A System for Online Analysis of High Volume Text Streams. VLDB 2007: 1410-1413 - [c74]Nilesh Bansal, Nick Koudas:
Searching the Blogosphere. WebDB 2007 - [c73]Nilesh Bansal, Nick Koudas:
BlogScope: spatio-temporal analysis of the blogosphere. WWW 2007: 1269-1270 - [e1]Gottfried Vossen, Miltiadis D. Lytras, Nick Koudas:
Editorial: Revisiting the (Machine) Semantic Web: The Missing Layers for the Human Semantic Web. IEEE Trans. Knowl. Data Eng. 19(2): 145-148 (2007) - 2006
- [j15]Nick Koudas:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 29(2): 3- (2006) - [j14]Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou, Divesh Srivastava:
Keyword Proximity Search in XML Trees. IEEE Trans. Knowl. Data Eng. 18(4): 525-539 (2006) - [j13]Sudipto Guha, H. V. Jagadish, Nick Koudas, Divesh Srivastava, Ting Yu:
Integrating XML data sources using approximate joins. ACM Trans. Database Syst. 31(1): 161-207 (2006) - [j12]Sudipto Guha, Nick Koudas, Kyuseok Shim:
Approximation and streaming algorithms for histogram construction problems. ACM Trans. Database Syst. 31(1): 396-438 (2006) - [c72]Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian:
Column Heterogeneity as a Measure of Data Quality. CleanDB 2006 - [c71]Xiaohui Yu, Nick Koudas, Calisto Zuzarte:
HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates. EDBT 2006: 460-477 - [c70]Sudipto Guha, Nick Koudas, Divesh Srivastava, Xiaohui Yu:
Reasoning About Approximate Match Query Results. ICDE 2006: 8 - [c69]Ken Q. Pu, Vagelis Hristidis, Nick Koudas:
Syntactic Rule Based Approach toWeb Service Composition. ICDE 2006: 31 - [c68]Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian:
Rapid Identification of Column Heterogeneity. ICDM 2006: 159-170 - [c67]Nick Koudas:
Data Stream Query Processing. SBBD 2006: 311 - [c66]SungRan Cho, Nick Koudas, Divesh Srivastava:
Meta-data indexing for XPath location steps. SIGMOD Conference 2006: 455-466 - [c65]Nick Koudas, Amit Marathe, Divesh Srivastava:
Using SPIDER: an experience report. SIGMOD Conference 2006: 719 - [c64]Nick Koudas, Sunita Sarawagi, Divesh Srivastava:
Record linkage: similarity measures and algorithms. SIGMOD Conference 2006: 802-803 - [c63]Nick Koudas, Chen Li, Anthony K. H. Tung, Rares Vernica:
Relaxing Join and Selection Queries. VLDB 2006: 199-210 - [c62]Gautam Das, Dimitrios Gunopulos, Nick Koudas, Dimitris Tsirogiannis:
Answering Top-k Queries Using Views. VLDB 2006: 451-462 - [c61]Anthony K. H. Tung, Rui Zhang, Nick Koudas, Beng Chin Ooi:
Similarity Search: A Matching Based Approach. VLDB 2006: 631-642 - 2005
- [j11]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) - [c60]Demetrios Zeinalipour-Yazti, Zografoula Vagena, Dimitrios Gunopulos, Vana Kalogeraki, Vassilis J. Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava:
The threshold join algorithm for top-k queries in distributed sensor networks. DMSN 2005: 61-66 - [c59]Amélie Marian, Sihem Amer-Yahia, Nick Koudas, Divesh Srivastava:
Adaptive Processing of Top-K Queries in XML. ICDE 2005: 162-173 - [c58]Xiaohui Yu, Ken Q. Pu, Nick Koudas:
Monitoring K-Nearest Neighbor Queries Over Moving Objects. ICDE 2005: 631-642 - [c57]Nick Koudas, Divesh Srivastava:
Data Stream Query Processing. ICDE 2005: 1145 - [c56]Zhiyuan Chen, Johannes Gehrke, Flip Korn, Nick Koudas, Jayavel Shanmugasundaram, Divesh Srivastava:
Index Structures for Matching XML Twigs Using Relational Query Processors. ICDE Workshops 2005: 1273 - [c55]Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava:
Multiple Aggregations Over Data Streams. SIGMOD Conference 2005: 299-310 - [c54]Nick Koudas, Amit Marathe, Divesh Srivastava:
SPIDER: flexible matching in databases. SIGMOD Conference 2005: 876-878 - [c53]Sihem Amer-Yahia, Nick Koudas, Amélie Marian, Divesh Srivastava, David Toman:
Structure and Content Scoring for XML. VLDB 2005: 361-372 - [c52]Liang Jin, Nick Koudas, Chen Li, Anthony K. H. Tung:
Indexing Mixed Types for Approximate Retrieval. VLDB 2005: 793-804 - [c51]SungRan Cho, Nick Koudas, Divesh Srivastava:
MIX: A Meta-data Indexing System for XML. VLDB 2005: 1326-1329 - [c50]Nick Koudas, Divesh Srivastava:
Approximate Joins: Concepts and Techniques. VLDB 2005: 1363 - [c49]Zografoula Vagena, Nick Koudas, Divesh Srivastava, Vassilis J. Tsotras:
Answering order-based queries over XML data. WWW (Special interest tracks and posters) 2005: 1162-1163 - [c48]Zografoula Vagena, Nick Koudas, Divesh Srivastava, Vassilis J. Tsotras:
Efficient Handling of Positional Predicates Within XML Query Processing. XSym 2005: 68-83 - [p1]Nicolas Bruno, Luis Gravano, Nick Koudas, Divesh Srivastava:
XML & Data Streams. Stream Data Management 2005: 59-81 - 2004
- [j10]Daniel A. Keim, Nick Koudas:
Introduction to special issue with best papers from KDD 2002. Inf. Syst. 29(4): 271-272 (2004) - [c47]Liang Jin, Nick Koudas, Chen Li:
NNH: Improving Performance of Nearest-Neighbor Searches Using Histograms. EDBT 2004: 385-402 - [c46]Nick Koudas, Beng Chin Ooi, Heng Tao Shen, Anthony K. H. Tung:
LDC: Enabling Search By Partial Distance In A Hyper-Dimensional Space. ICDE 2004: 6-17 - [c45]Nick Koudas, Michael Rabinovich, Divesh Srivastava, Ting Yu:
Routing XML Queries. ICDE 2004: 844 - [c44]Sudipto Guha, Nick Koudas, Amit Marathe, Divesh Srivastava:
Merging the Results of Approximate Match Operations. VLDB 2004: 636-647 - [c43]Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhang:
Approximate NN queries on Streams with Guaranteed Error/performance Bounds. VLDB 2004: 804-815 - [c42]Nick Koudas, Amit Marathe, Divesh Srivastava:
Flexible String Matching Against Large Databases in Practice. VLDB 2004: 1078-1086 - 2003
- [j9]Zhiyuan Chen, Flip Korn, Nick Koudas, S. Muthukrishnan:
Generalized substring selectivity estimation. J. Comput. Syst. Sci. 66(1): 98-132 (2003) - [j8]Paolo Ferragina, Nick Koudas, S. Muthukrishnan, Divesh Srivastava:
Two-dimensional substring indexing. J. Comput. Syst. Sci. 66(4): 763-774 (2003) - [j7]George Kollios, Dimitrios Gunopulos, Nick Koudas, Stefan Berchtold:
Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets. IEEE Trans. Knowl. Data Eng. 15(5): 1170-1187 (2003) - [c41]Nicolas Bruno, Luis Gravano, Nick Koudas, Divesh Srivastava:
Navigation- vs. Index-Based XML Multi-Query Processing. ICDE 2003: 139-150 - [c40]Panayiotis Tsaparas, Themistoklis Palpanas, Yannis Kotidis, Nick Koudas, Divesh Srivastava:
Ranked Join Indices. ICDE 2003: 277-288 - [c39]Sudipto Guha, Nick Koudas, Divesh Srivastava, Ting Yu:
Index-Based Approximate XML Joins. ICDE 2003: 708-710 - [c38]Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas, Divesh Srivastava:
Text Joins for Data Cleansing and Integration in an RDBMS. ICDE 2003: 729-731 - [c37]Sihem Amer-Yahia, Nick Koudas, Divesh Srivastava:
Approximate Matching in XML. ICDE 2003: 803 - [c36]Sudipto Guha, Dimitrios Gunopulos, Nick Koudas:
Correlating synchronous and asynchronous data streams. KDD 2003: 529-534 - [c35]Nick Koudas, Divesh Srivastava:
Panel: Querying Networked Databases. SIGMOD Conference 2003: 679 - [c34]Themistoklis Palpanas, Nick Koudas, Alberto O. Mendelzon:
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. SSDBM 2003: 55-64 - [c33]Sudipto Guha, Dimitrios Gunopulos, Nick Koudas, Divesh Srivastava, Michail Vlachos:
Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints. VLDB 2003: 778-789 - [c32]Andrey Balmin, Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou, Divesh Srivastava, Tianqiu Wang:
A System for Keyword Proximity Search on XML Databases. VLDB 2003: 1069-1072 - [c31]Nick Koudas, Divesh Srivastava:
Data Stream Query Processing: A Tutorial. VLDB 2003: 1149 - [c30]Nick Koudas, Divesh Srivastava:
Data Stream Query Processing. WISE 2003: 374 - [c29]Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas, Divesh Srivastava:
Text joins in an RDBMS for web data integration. WWW 2003: 90-101 - 2002
- [j6]Nick Koudas:
Efficient computation of spatial joins with intersection predicates. Int. J. Geogr. Inf. Sci. 16(2): 179-202 (2002) - [c28]Shurug Al-Khalifa, H. V. Jagadish, Jignesh M. Patel, Yuqing Wu, Nick Koudas, Divesh Srivastava:
Structural Joins: A Primitive for Efficient XML Query Pattern Matching. ICDE 2002: 141-152 - [c27]Sudipto Guha, Nick Koudas:
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation. ICDE 2002: 567-576 - [c26]Graham Cormode, Piotr Indyk, Nick Koudas, S. Muthukrishnan:
Fast Mining of Massive Tabular Data via Approximate Distance Computations. ICDE 2002: 605-614 - [c25]Nick Koudas:
Stream Data Management: Research Directions and Opportunities. IDEAS 2002 - [c24]Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas:
Non-linear dimensionality reduction techniques for classification and visualization. KDD 2002: 645-651 - [c23]Sudipto Guha, Nick Koudas, Divesh Srivastava:
Fast Algorithms For Hierarchical Range Histogram Construction. PODS 2002: 180-187 - [c22]Sudipto Guha, H. V. Jagadish, Nick Koudas, Divesh Srivastava, Ting Yu:
Approximate XML joins. SIGMOD Conference 2002: 287-298 - [c21]Nicolas Bruno, Nick Koudas, Divesh Srivastava:
Holistic twig joins: optimal XML pattern matching. SIGMOD Conference 2002: 310-321 - [c20]Nitin Thaper, Sudipto Guha, Piotr Indyk, Nick Koudas:
Dynamic multidimensional histograms. SIGMOD Conference 2002: 428-439 - 2001
- [j5]Luis Gravano, Panagiotis G. Ipeirotis, H. V. Jagadish, Nick Koudas, S. Muthukrishnan, Lauri Pietarinen, Divesh Srivastava:
Using q-grams in a DBMS for Approximate String Processing. IEEE Data Eng. Bull. 24(4): 28-34 (2001) - [j4]Kenneth A. Ross, Jiawei Han, Nick Koudas, Rajeev Rastogi, Daniel J. Rosenkrantz, Peter Scheuermann, Dan Suciu:
Reminiscences on Influential Papers. SIGMOD Rec. 30(3): 101-104 (2001) - [j3]Dimitrios Gunopulos, Nick Koudas:
DIMACS Summer School Tutorial on New Frontiers in Data Mining. SIGMOD Rec. 30(4): 94-96 (2001) - [c19]George Kollios, Dimitrios Gunopulos, Nick Koudas, Stefan Berchtold:
An Efficient Approximation Scheme for Data Mining Tasks. ICDE 2001: 453-462 - [c18]Zhiyuan Chen, H. V. Jagadish, Flip Korn, Nick Koudas, S. Muthukrishnan, Raymond T. Ng, Divesh Srivastava:
Counting Twig Matches in a Tree. ICDE 2001: 595-604 - [c17]Paolo Ferragina, Nick Koudas, S. Muthukrishnan, Divesh Srivastava:
Two-dimensional Substring Indexing. PODS 2001 - [c16]Aristides Gionis, Dimitrios Gunopulos, Nick Koudas:
Efficient and Tunable Similar Set Retrieval. SIGMOD Conference 2001: 247-258 - [c15]Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou:
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries. SIGMOD Conference 2001: 259-270 - [c14]Themistoklis Palpanas, Nick Koudas:
Entropy Based Approximate Querying and Exploration of Datacubes. SSDBM 2001: 81-90 - [c13]Sudipto Guha, Nick Koudas, Kyuseok Shim:
Data-streams and histograms. STOC 2001: 471-475 - [c12]Luis Gravano, Panagiotis G. Ipeirotis, H. V. Jagadish, Nick Koudas, S. Muthukrishnan, Divesh Srivastava:
Approximate String Joins in a Database (Almost) for Free. VLDB 2001: 491-500 - 2000
- [j2]Nick Koudas:
Indexing support for spatial joins. Data Knowl. Eng. 34(2): 99-124 (2000) - [j1]Nick Koudas, Kenneth C. Sevcik:
High Dimensional Similarity Joins: Algorithms and Performance Evaluation. IEEE Trans. Knowl. Data Eng. 12(1): 3-18 (2000) - [c11]Nick Koudas:
Space Efficient Bitmap Indexing. CIKM 2000: 194-201 - [c10]Nick Koudas, S. Muthukrishnan, Divesh Srivastava:
Optimal Histograms for Hierarchical Range Queries. PODS 2000: 196-204 - [c9]Zhiyuan Chen, Flip Korn, Nick Koudas, S. Muthukrishnan:
Selectivity Estimation for Boolean Queries. PODS 2000: 216-225 - [c8]H. V. Jagadish, Nick Koudas, Divesh Srivastava:
On Effective Multi-Dimensional Indexing for Strings. SIGMOD Conference 2000: 403-414 - [c7]Piotr Indyk, Nick Koudas, S. Muthukrishnan:
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches. VLDB 2000: 363-372
1990 – 1999
- 1999
- [c6]H. V. Jagadish, Nick Koudas, S. Muthukrishnan:
Mining Deviants in a Time Series Database. VLDB 1999: 102-113 - 1998
- [b1]Nick Koudas:
Fast algorithms for spatial and multidimensional joins. University of Toronto, Canada, 1998 - [c5]Nick Koudas, Kenneth C. Sevcik:
High Dimensional Similarity Joins: Algorithms and Performance Evaluation. ICDE 1998: 466-475 - [c4]H. V. Jagadish, Nick Koudas, S. Muthukrishnan, Viswanath Poosala, Kenneth C. Sevcik, Torsten Suel:
Optimal Histograms with Quality Guarantees. VLDB 1998: 275-286 - 1997
- [c3]Nick Koudas, Kenneth C. Sevcik:
Size Separation Spatial Join. SIGMOD Conference 1997: 324-335 - 1996
- [c2]Nick Koudas, Christos Faloutsos, Ibrahim Kamel:
Declustering Spatial Databases on a Multi-Computer Architecture. EDBT 1996: 592-614 - [c1]Kenneth C. Sevcik, Nick Koudas:
Filter Trees for Managing Spatial Data over a Range of Size Granularities. VLDB 1996: 16-27
Coauthor Index
[j47] [c138] [i15] [c121] [j39] [j35] [i2] [j29] [c107] [j28] [j24] [j23] [c99] [c97] [c96] [j19] [c93] [c92] [c91] [j17] [j16] [c85] [c84] [c83] [c82] [c79] [j14] [j13] [c72] [c70] [c68] [c66] [c65] [c64] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c51] [c50] [c49] [c48] [p1] [c45] [c44] [c42] [j8] [c41] [c40] [c39] [c38] [c37] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c23] [c22] [c21] [j5] [c18] [c17] [c12] [c10] [c8]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-11 20:07 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
