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Panos Kalnis
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- affiliation: King Abdullah University of Science & Technology, Saudi Arabia
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2020 – today
- 2024
- [c69]Hussein Abdallah, Waleed Afandi, Panos Kalnis
, Essam Mansour:
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. ICDE 2024: 1833-1846 - [c68]Chenhao Wang
Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets. KDD 2024: 2980-2990 - [i11]Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour:
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. CoRR abs/2403.05752 (2024) - 2023
- [j58]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023) - [j57]Reham Omar
A Universal Question-Answering Platform for Knowledge Graphs. Proc. ACM Manag. Data 1(1): 57:1-57:25 (2023) - [j56]Shanshan Feng
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35(9): 9140-9153 (2023) - [j55]Shuo Shang, Xiangliang Zhang, Panos Kalnis
Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) 26(5): 2395-2397 (2023) - [c67]Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis:
SLAMB: Accelerated Large Batch Training with Sparse Communication. ICML 2023: 38801-38825 - [i10]Reham Omar, Omij Mangukiya, Panos Kalnis, Essam Mansour:
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots. CoRR abs/2302.06466 (2023) - [i9]Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour:
A Universal Question-Answering Platform for Knowledge Graphs. CoRR abs/2303.00595 (2023) - 2022
- [c66]Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. IJCAI 2022: 3891-3897 - [c65]Klearchos Kosmanos, Panos Kalnis, Apostolos Papadopoulos:
Incremental Influential Community Detection in Large Networks. SSDBM 2022: 7:1-7:12 - 2021
- [j54]Shuo Shang, Jianbing Shen
Deep understanding of big geospatial data for self-driving cars. Neurocomputing 428: 308-309 (2021) - [c64]Hang Xu
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS 2021: 561-572 - [c63]Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. IJCAI 2021: 3613-3619 - [c62]Ke Li
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. IJCAI 2021: 3656-3662 - [c61]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. NeurIPS 2021: 8133-8146 - [c60]Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis:
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. NeurIPS 2021: 21150-21163 - [c59]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI 2021: 785-808 - [i8]Kelly Kostopoulou, Hang Xu
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. CoRR abs/2102.03112 (2021) - [i7]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini
Rethinking gradient sparsification as total error minimization. CoRR abs/2108.00951 (2021) - 2020
- [j53]Shuo Shang, Kai Zheng, Panos Kalnis
Introduction to spatio-temporal data driven urban computing. Distributed Parallel Databases 38(3): 561-562 (2020) - [j52]Shuo Shang, Lisi Chen, Christian S. Jensen
Introduction to Spatio-temporal data management and analytics for Smart City research. GeoInformatica 24(1): 1-2 (2020) - [j51]Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Wei Zhang, Kai Zheng, Panos Kalnis
ITISS: an efficient framework for querying big temporal data. GeoInformatica 24(1): 27-59 (2020) - [j50]Lisi Chen, Shuo Shang, Christian S. Jensen
Top-k term publish/subscribe for geo-textual data streams. VLDB J. 29(5): 1101-1128 (2020) - [c58]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI 2020: 3817-3824 - [c57]Rishikesh R. Gajjala
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT 2020: 21-27 - [c56]Lisi Chen, Shuo Shang, Christian S. Jensen
Parallel Semantic Trajectory Similarity Join. ICDE 2020: 997-1008
2010 – 2019
- 2019
- [j49]Dimitrios A. Koutsomitropoulos
Semantics in the Deep: Semantic Analytics for Big Data. Data 4(2): 63 (2019) - [j48]Shuo Shang
Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019) - [c55]Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis:
Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT 2019: 361-372 - [c54]Fuad T. Jamour
Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys 2019: 27:1-27:15 - [c53]Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis
Cluster-Based Subscription Matching for Geo-Textual Data Streams. ICDE 2019: 890-901 - [c52]Peng Han, Shuo Shang, Aixin Sun
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE 2019: 1558-1561 - [c51]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [i6]Amedeo Sapio
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR abs/1903.06701 (2019) - [i5]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR abs/1911.08250 (2019) - 2018
- [j47]Amin Allam
Improved suffix blocking for record linkage and entity resolution. Data Knowl. Eng. 117: 98-113 (2018) - [j46]Fuad T. Jamour
A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. 11(12): 1978-1981 (2018) - [j45]Fuad T. Jamour
Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs. IEEE Trans. Parallel Distributed Syst. 29(3): 659-672 (2018) - [j44]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen
Parallel trajectory similarity joins in spatial networks. VLDB J. 27(3): 395-420 (2018) - [c50]Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao
Location-Aware Top-k Term Publish/Subscribe. ICDE 2018: 749-760 - [c49]Shuo Shang, Lisi Chen, Christian S. Jensen
Searching Trajectories by Regions of Interest. ICDE 2018: 1741-1742 - [c48]Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi
Incremental Frequent Subgraph Mining on Large Evolving Graphs. ICDE 2018: 1767-1768 - [r8]Panos Kalnis:
Distributed Spatial Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Panos Kalnis, Gabriel Ghinita:
Spatial Anonymity. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j43]Zuhair Khayyat
Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085). Proc. VLDB Endow. 10(9): 985 (2017) - [j42]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen
Trajectory Similarity Join in Spatial Networks. Proc. VLDB Endow. 10(11): 1178-1189 (2017) - [j41]Ibrahim Abdelaziz
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. 10(13): 2049-2060 (2017) - [j40]Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. 11(4): 485-498 (2017) - [j39]Shuo Shang, Lisi Chen, Christian S. Jensen
Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. 29(7): 1549-1562 (2017) - [j38]Ehab Abdelhamid
Incremental Frequent Subgraph Mining on Large Evolving Graphs. IEEE Trans. Knowl. Data Eng. 29(12): 2710-2723 (2017) - [j37]Ibrahim Abdelaziz
Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Trans. Parallel Distributed Syst. 28(12): 3374-3388 (2017) - [j36]Zuhair Khayyat
Fast and scalable inequality joins. VLDB J. 26(1): 125-150 (2017) - [c47]Majed Sahli
Querying and Mining Strings Made Easy. ADMA 2017: 3-17 - [c46]Amedeo Sapio
DAIET: a system for data aggregation inside the network. SoCC 2017: 626 - [c45]Amedeo Sapio
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets 2017: 150-156 - [c44]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen
Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60 - [c43]Ibrahim Abdelaziz
Query Optimizations over Decentralized RDF Graphs. ICDE 2017: 139-142 - [c42]Essam Mansour, Ibrahim Abdelaziz
A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference 2017: 1603-1606 - [c41]Ziyad AlGhamdi, Fuad T. Jamour
A Benchmark for Betweenness Centrality Approximation Algorithms on Large Graphs. SSDBM 2017: 6:1-6:12 - [r6]Panos Kalnis, Gabriel Ghinita:
Olap Results, Distributed Caching. Encyclopedia of GIS 2017: 1473-1479 - [r5]Nikos Mamoulis, Spiridon Bakiras
Top-k OLAP Queries Using Augmented Spatial Access Methods. Encyclopedia of GIS 2017: 2252-2258 - 2016
- [j35]Dimitrios Kleftogiannis
Progress and challenges in bioinformatics approaches for enhancer identification. Briefings Bioinform. 17(6): 967-979 (2016) - [j34]Wail Ba-alawi
DASPfind: new efficient method to predict drug-target interactions. J. Cheminformatics 8(1): 15:1-15:9 (2016) - [j33]Othman Soufan
DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning. J. Cheminformatics 8(1): 64:1-64:14 (2016) - [j32]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen
Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016) - [j31]Razen Al-Harbi
Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning. VLDB J. 25(3): 355-380 (2016) - [c40]Ehab Abdelhamid
Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC 2016: 716-727 - [i4]Emaad A. Manzoor, Haewoon Kwak, Panos Kalnis:
Scheduling Broadcasts in a Network of Timelines. CoRR abs/1610.06052 (2016) - 2015
- [j30]Dimitrios Kleftogiannis
Hi-Jack: a novel computational framework for pathway-based inference of host-pathogen interactions. Bioinform. 31(14): 2332-2339 (2015) - [j29]Amin Allam
Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data. Bioinform. 31(21): 3421-3428 (2015) - [j28]Majed Sahli
StarDB: A Large-Scale DBMS for Strings. Proc. VLDB Endow. 8(12): 1844-1847 (2015) - [j27]Razen Harbi
Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. 8(12): 1848-1851 (2015) - [j26]Ibrahim Abdelaziz
SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. 8(12): 1880-1883 (2015) - [j25]Zuhair Khayyat
Lightning Fast and Space Efficient Inequality Joins. Proc. VLDB Endow. 8(13): 2074-2085 (2015) - [j24]Shuo Shang, Kai Zheng, Christian S. Jensen
Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. 27(6): 1505-1518 (2015) - [c39]Majed Sahli
Automatic tuning of bag-of-tasks applications. ICDE 2015: 843-854 - [i3]Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli:
Adaptive Partitioning for Very Large RDF Data. CoRR abs/1505.02728 (2015) - 2014
- [j23]Mohammed Elseidy, Ehab Abdelhamid
GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. Proc. VLDB Endow. 7(7): 517-528 (2014) - [j22]Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen
Personalized trajectory matching in spatial networks. VLDB J. 23(3): 449-468 (2014) - [j21]Majed Sahli
ACME: A scalable parallel system for extracting frequent patterns from a very long sequence. VLDB J. 23(6): 871-893 (2014) - [i2]Razen Al-Harbi, Yasser Ebrahim, Panos Kalnis:
PHD-Store: An Adaptive SPARQL Engine with Dynamic Partitioning for Distributed RDF Repositories. CoRR abs/1405.4979 (2014) - 2013
- [j20]Essam Mansour, Ahmed El-Roby, Panos Kalnis
RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences. Proc. VLDB Endow. 6(10): 865-876 (2013) - [c38]Majed Sahli
Parallel motif extraction from very long sequences. CIKM 2013: 549-558 - [c37]Zuhair Khayyat
Mizan: a system for dynamic load balancing in large-scale graph processing. EuroSys 2013: 169-182 - [c36]Karim Awara, Hani Jamjoom, Panos Kalnis
To 4, 000 compute nodes and beyond: network-aware vertex placement in large-scale graph processing systems. SIGCOMM 2013: 501-502 - 2012
- [j19]Man Lung Yiu
Outsourced Similarity Search on Metric Data Assets. IEEE Trans. Knowl. Data Eng. 24(2): 338-352 (2012) - [c35]Mingqiang Xue, Panagiotis Karras, Chedy Raïssi, Panos Kalnis
Delineating social network data anonymization via random edge perturbation. CIKM 2012: 475-484 - [c34]Shuo Shang, Ruogu Ding, Bo Yuan
User oriented trajectory search for trip recommendation. EDBT 2012: 156-167 - 2011
- [j18]Gabriel Ghinita, Panos Kalnis
Approximate and exact hybrid algorithms for private nearest-neighbor queries with database protection. GeoInformatica 15(4): 699-726 (2011) - [j17]Essam Mansour, Amin Allam
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. Proc. VLDB Endow. 5(1): 49-60 (2011) - [j16]Gabriel Ghinita, Panos Kalnis
Anonymous Publication of Sensitive Transactional Data. IEEE Trans. Knowl. Data Eng. 23(2): 161-174 (2011) - [j15]Jianneng Cao, Panagiotis Karras, Panos Kalnis
SABRE: a Sensitive Attribute Bucketization and REdistribution framework for t-closeness. VLDB J. 20(1): 59-81 (2011) - [j14]Manolis Terrovitis
Local and global recoding methods for anonymizing set-valued data. VLDB J. 20(1): 83-106 (2011) - [c33]Mingqiang Xue, Panagiotis Papadimitriou, Chedy Raïssi, Panos Kalnis
Distributed Privacy Preserving Data Collection. DASFAA (1) 2011: 93-107 - [i1]Essam Mansour, Amin Allam
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. CoRR abs/1109.6884 (2011) - 2010
- [j13]Gabriel Ghinita, Keliang Zhao, Dimitris Papadias, Panos Kalnis
A reciprocal framework for spatial K-anonymity. Inf. Syst. 35(3): 299-314 (2010) - [j12]Aris Gkoulalas-Divanis, Panos Kalnis
Providing K-Anonymity in location based services. SIGKDD Explor. 12(1): 3-10 (2010) - [j11]Yufei Tao
Efficient and accurate nearest neighbor and closest pair search in high-dimensional space. ACM Trans. Database Syst. 35(3): 20:1-20:46 (2010) - [j10]Man Lung Yiu
Enabling search services on outsourced private spatial data. VLDB J. 19(3): 363-384 (2010)
2000 – 2009
- 2009
- [j9]Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis
Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. 38(3): 40-43 (2009) - [j8]Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis:
A framework for efficient data anonymization under privacy and accuracy constraints. ACM Trans. Database Syst. 34(2): 9:1-9:47 (2009) - [c32]Man Lung Yiu
Outsourcing Search Services on Private Spatial Data. ICDE 2009: 1140-1143 - [c31]Mingqiang Xue, Panos Kalnis, Hung Keng Pung:
Location Diversity: Enhanced Privacy Protection in Location Based Services. LoCA 2009: 70-87 - [c30]Yin Yang
Authenticated join processing in outsourced databases. SIGMOD Conference 2009: 5-18 - [c29]Yufei Tao
Quality and efficiency in high dimensional nearest neighbor search. SIGMOD Conference 2009: 563-576 - [c28]Gabriel Ghinita, Panos Kalnis
A Hybrid Technique for Private Location-Based Queries with Database Protection. SSTD 2009: 98-116 - [r4]Panos Kalnis:
Distributed Spatial Databases. Encyclopedia of Database Systems 2009: 920-925 - [r3]Panos Kalnis, Gabriel Ghinita:
Spatial Anonymity. Encyclopedia of Database Systems 2009: 2685-2690 - 2008
- [j7]Manolis Terrovitis
Privacy-preserving anonymization of set-valued data. Proc. VLDB Endow. 1(1): 115-125 (2008) - [j6]Zhenzhou Zhu, Panos Kalnis, Spiridon Bakiras
DCMP: A Distributed Cycle Minimization Protocol for Peer-to-Peer Networks. IEEE Trans. Parallel Distributed Syst. 19(3): 363-377 (2008) - [c27]Nikolay Vyahhi, Spiridon Bakiras
Tracking Moving Objects in Anonymized Trajectories. DEXA 2008: 158-171 - [c26]Gabriel Ghinita, Yufei Tao
On the Anonymization of Sparse High-Dimensional Data. ICDE 2008: 715-724 - [c25]Gabriel Ghinita, Panos Kalnis, Ali Khoshgozaran, Cyrus Shahabi, Kian-Lee Tan
Private queries in location based services: anonymizers are not necessary. SIGMOD Conference 2008: 121-132 - [c24]Bharath Krishnamachari, Gabriel Ghinita, Panos Kalnis:
Privacy-Preserving Publication of User Locations in the Proximity of Sensitive Sites. SSDBM 2008: 95-113 - [c23]Wee Siong Ng, Panos Kalnis, Kian-Lee Tan
POEMS: Peer-Based Overload Management. WISE 2008: 350-365 - [r2]Panos Kalnis, Gabriel Ghinita:
Olap Results, Distributed Caching. Encyclopedia of GIS 2008: 805-809 - [r1]Nikos Mamoulis, Spiridon Bakiras
Top-k OLAP Queries Using Augmented Spatial Access Methods. Encyclopedia of GIS 2008: 1156-1161 - 2007
- [j5]Panos Kalnis, Gabriel Ghinita, Kyriakos Mouratidis
Preventing Location-Based Identity Inference in Anonymous Spatial Queries. IEEE Trans. Knowl. Data Eng. 19(12): 1719-1733 (2007) - [c22]Gabriel Ghinita, Panos Kalnis, Spiros Skiadopoulos
MobiHide: A Mobilea Peer-to-Peer System for Anonymous Location-Based Queries. SSTD 2007: 221-238 - [c21]Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis:
Fast Data Anonymization with Low Information Loss. VLDB 2007: 758-769 - [c20]Gabriel Ghinita, Panos Kalnis, Spiros Skiadopoulos
PRIVE: anonymous location-based queries in distributed mobile systems. WWW 2007: 371-380 - 2006
- [j4]Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Kian-Lee Tan
Answering similarity queries in peer-to-peer networks. Inf. Syst. 31(1): 57-72 (2006) - [c19]Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
Ad-hoc distributed spatial joins on mobile devices. IPDPS 2006 - 2005
- [j3]Rui Zhang, Panos Kalnis, Beng Chin Ooi, Kian-Lee Tan
Generalized multidimensional data mapping and query processing. ACM Trans. Database Syst. 30(3): 661-697 (2005) - [c18]Shen-Tat Goh, Panos Kalnis, Spiridon Bakiras, Kian-Lee Tan
Real Datasets for File-Sharing Peer-to-Peer Systems. DASFAA 2005: 201-213 - [c17]Rui Yang, Panos Kalnis, Anthony K. H. Tung
Similarity Evaluation on Tree-structured Data. SIGMOD Conference 2005: 754-765 - [c16]Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis:
Evaluation of Top-k OLAP Queries Using Aggregate R-Trees. SSTD 2005: 236-253 - [c15]Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras:
On Discovering Moving Clusters in Spatio-temporal Data. SSTD 2005: 364-381 - 2004
- [c14]Qiang Jing, Rui Yang, Panos Kalnis, Anthony K. H. Tung
Localized signature table: fast similarity search on transaction data. CIKM 2004: 314-323 - [c13]Eric Lo, Nikos Mamoulis, David Wai-Lok Cheung, Wai-Shing Ho, Panos Kalnis:
Processing Ad-Hoc Joins on Mobile Devices. DEXA 2004: 611-621 - [c12]Mohammed Kasim Imthiyaz, Dong Xiaoan, Panos Kalnis:
Efficient Processing of Distributed Iceberg Semi-joins. DEXA 2004: 634-643 - [c11]Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Kian-Lee Tan
Answering similarity queries in peer-to-peer networks. WWW (Alternate Track Papers & Posters) 2004: 482-483 - 2003
- [j2]Panos Kalnis, Dimitris Papadias:
Multi-query optimization for on-line analytical processing. Inf. Syst. 28(5): 457-473 (2003) - [c10]Spiridon Bakiras
A General Framework for Searching in Distributed Data Repositories. IPDPS 2003: 34 - [c9]Nikos Mamoulis, Panos Kalnis, Spiridon Bakiras, Xiaochen Li:
Optimization of Spatial Joins on Mobile Devices. SSTD 2003: 233-251 - 2002
- [j1]Panos Kalnis, Nikos Mamoulis, Dimitris Papadias:
View selection using randomized search. Data Knowl. Eng. 42(1): 89-111 (2002) - [c8]Dimitris Papadias, Yufei Tao
Indexing Spatio-Temporal Data Warehouses. ICDE 2002: 166-175 - [c7]Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Dimitris Papadias, Kian-Lee Tan
An adaptive peer-to-peer network for distributed caching of OLAP results. SIGMOD Conference 2002: 25-36 - 2001
- [c6]Panos Kalnis, Dimitris Papadias:
Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments. DaWaK 2001: 264-273 - [c5]Thanasis Loukopoulos, Panos Kalnis, Ishfaq Ahmad, Dimitris Papadias:
Active Caching of On-Line-Analytical-Processing Queries in WWW Proxies. ICPP 2001: 419-426 - [c4]Panos Kalnis, Dimitris Papadias:
Proxy-Server Architectures for OLAP. SIGMOD Conference 2001: 367-378 - [c3]Dimitris Papadias, Panos Kalnis, Jun Zhang, Yufei Tao
Efficient OLAP Operations in Spatial Data Warehouses. SSTD 2001: 443-459
1990 – 1999
- 1999
- [c2]Dimitris Papadias, Panos Kalnis, Nikos Mamoulis:
Hierarchical Constraint Satisfaction in Spatial Databases. AAAI/IAAI 1999: 142-147 - [c1]Dimitris Papadias, Marios Mantzourogiannis, Panos Kalnis, Nikos Mamoulis, Ishfaq Ahmad:
Content-Based Retrieval Using Heuristic Search. SIGIR 1999: 168-175
Coauthor Index
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