Panos Kalnis

According to our database, Panos Kalnis authored at least 135 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling.

Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour

CoRR, 2024

2023

Spatiotemporal data management and analytics for recommender systems.

Shuo Shang, Xiangliang Zhang, Panos Kalnis

World Wide Web (WWW), September, 2023

ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity.

Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao

IEEE Trans. Knowl. Data Eng., September, 2023

Deep understanding of big geo-social data for autonomous vehicles.

Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis

Neural Comput. Appl., February, 2023

A Universal Question-Answering Platform for Knowledge Graphs.

Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour

Proc. ACM Manag. Data, 2023

ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots.

Reham Omar, Omij Mangukiya, Panos Kalnis, Essam Mansour

CoRR, 2023

SLAMB: Accelerated Large Batch Training with Sparse Communication.

Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis

Proceedings of the International Conference on Machine Learning, 2023

2022

Incremental Influential Community Detection in Large Networks.

Klearchos Kosmanos, Panos Kalnis, Apostolos Papadopoulos

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects.

Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Deep understanding of big geospatial data for self-driving cars.

Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis

Neurocomputing, 2021

DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning.

Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis

CoRR, 2021

Scaling Distributed Machine Learning with In-Network Aggregation.

Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning.

Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rethinking gradient sparsification as total error minimization.

Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams.

Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data.

Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

GRACE: A Compressed Communication Framework for Distributed Machine Learning.

Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

Top-k term publish/subscribe for geo-textual data streams.

Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao

VLDB J., 2020

Introduction to Spatio-temporal data management and analytics for Smart City research.

Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis

GeoInformatica, 2020

ITISS: an efficient framework for querying big temporal data.

Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Wei Zhang, Kai Zheng, Panos Kalnis, Feilong Tang

GeoInformatica, 2020

Introduction to spatio-temporal data driven urban computing.

Shuo Shang, Kai Zheng, Panos Kalnis

Distributed Parallel Databases, 2020

Parallel Semantic Trajectory Similarity Join.

Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning.

Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis

Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.

Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Parallel Trajectory-to-Location Join.

Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis

IEEE Trans. Knowl. Data Eng., 2019

Semantics in the Deep: Semantic Analytics for Big Data.

Dimitrios A. Koutsomitropoulos, Spiridon D. Likothanassis, Panos Kalnis

Data, 2019

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization.

Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AUC-MF: Point of Interest Recommendation with AUC Maximization.

Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Cluster-Based Subscription Matching for Geo-Textual Data Streams.

Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs.

Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis

Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist.

Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis

Proceedings of the Advances in Database Technology, 2019

2018

Spatial Anonymity.

Panos Kalnis, Gabriel Ghinita

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Distributed Spatial Databases.

Panos Kalnis

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Parallel trajectory similarity joins in spatial networks.

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis

VLDB J., 2018

Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs.

Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis

IEEE Trans. Parallel Distributed Syst., 2018

A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries.

Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis

Proc. VLDB Endow., 2018

Improved suffix blocking for record linkage and entity resolution.

Amin Allam, Spiros Skiadopoulos, Panos Kalnis

Data Knowl. Eng., 2018

Location-Aware Top-k Term Publish/Subscribe.

Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Top-k OLAP Queries Using Augmented Spatial Access Methods.

Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis

Proceedings of the Encyclopedia of GIS., 2017

Olap Results, Distributed Caching.

Panos Kalnis, Gabriel Ghinita

Proceedings of the Encyclopedia of GIS., 2017

Fast and scalable inequality joins.

Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis

VLDB J., 2017

Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics.

Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis

IEEE Trans. Parallel Distributed Syst., 2017

Searching Trajectories by Regions of Interest.

Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis

IEEE Trans. Knowl. Data Eng., 2017

Incremental Frequent Subgraph Mining on Large Evolving Graphs.

Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis

IEEE Trans. Knowl. Data Eng., 2017

Trajectory Similarity Join in Spatial Networks.

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis

Proc. VLDB Endow., 2017

Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085).

Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis

Proc. VLDB Endow., 2017

Lusail: A System for Querying Linked Data at Scale.

Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis

Proc. VLDB Endow., 2017

A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data.

Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, Panos Kalnis

Proc. VLDB Endow., 2017

A Benchmark for Betweenness Centrality Approximation Algorithms on Large Graphs.

Ziyad AlGhamdi, Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

A Demonstration of Lusail: Querying Linked Data at Scale.

Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Query Optimizations over Decentralized RDF Graphs.

Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

In-Network Computation is a Dumb Idea Whose Time Has Come.

Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis

Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

DAIET: a system for data aggregation inside the network.

Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Querying and Mining Strings Made Easy.

Majed Sahli, Essam Mansour, Panos Kalnis

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning.

Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli

VLDB J., 2016

Collective Travel Planning in Spatial Networks.

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis

IEEE Trans. Knowl. Data Eng., 2016

DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning.

Othman Soufan, Wail Ba-alawi, Moataz Afeef, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic

J. Cheminformatics, 2016

DASPfind: new efficient method to predict drug-target interactions.

Wail Ba-alawi, Othman Soufan, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic

J. Cheminformatics, 2016

Scheduling Broadcasts in a Network of Timelines.

Emaad A. Manzoor, Haewoon Kwak, Panos Kalnis

CoRR, 2016

Progress and challenges in bioinformatics approaches for enhancer identification.

Dimitrios Kleftogiannis, Panos Kalnis, Vladimir B. Bajic

Briefings Bioinform., 2016

Scalemine: scalable parallel frequent subgraph mining in a single large graph.

Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour

Proceedings of the International Conference for High Performance Computing, 2016

2015

Discovery of Path Nearby Clusters in Spatial Networks.

Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., 2015

StarDB: A Large-Scale DBMS for Strings.

Majed Sahli, Essam Mansour, Panos Kalnis

Proc. VLDB Endow., 2015

Lightning Fast and Space Efficient Inequality Joins.

Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis

Proc. VLDB Endow., 2015

Evaluating SPARQL Queries on Massive RDF Datasets.

Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis

Proc. VLDB Endow., 2015

SPARTex: A Vertex-Centric Framework for RDF Data Analytics.

Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis

Proc. VLDB Endow., 2015

Adaptive Partitioning for Very Large RDF Data.

Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli

CoRR, 2015

Hi-Jack: a novel computational framework for pathway-based inference of host-pathogen interactions.

Dimitrios Kleftogiannis, Limsoon Wong, John A. C. Archer, Panos Kalnis

Bioinform., 2015

Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data.

Amin Allam, Panos Kalnis, Victor V. Solovyev

Bioinform., 2015

Automatic tuning of bag-of-tasks applications.

Majed Sahli, Essam Mansour, Tariq Alturkestani, Panos Kalnis

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Personalized trajectory matching in spatial networks.

Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen, Panos Kalnis, Xiaofang Zhou

VLDB J., 2014

ACME: A scalable parallel system for extracting frequent patterns from a very long sequence.

Majed Sahli, Essam Mansour, Panos Kalnis

VLDB J., 2014

GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph.

Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, Panos Kalnis

Proc. VLDB Endow., 2014

PHD-Store: An Adaptive SPARQL Engine with Dynamic Partitioning for Distributed RDF Repositories.

Razen Al-Harbi, Yasser Ebrahim, Panos Kalnis

CoRR, 2014

2013

RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences.

Essam Mansour, Ahmed El-Roby, Panos Kalnis, Aron Ahmadia, Ashraf Aboulnaga

Proc. VLDB Endow., 2013

To 4, 000 compute nodes and beyond: network-aware vertex placement in large-scale graph processing systems.

Karim Awara, Hani Jamjoom, Panos Kalnis

Proceedings of the ACM SIGCOMM 2013 Conference, 2013

Mizan: a system for dynamic load balancing in large-scale graph processing.

Zuhair Khayyat, Karim Awara, Amani AlOnazi, Hani Jamjoom, Dan Williams, Panos Kalnis

Proceedings of the Eighth Eurosys Conference 2013, 2013

Parallel motif extraction from very long sequences.

Majed Sahli, Essam Mansour, Panos Kalnis

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Outsourced Similarity Search on Metric Data Assets.

Man Lung Yiu, Ira Assent, Christian S. Jensen, Panos Kalnis

IEEE Trans. Knowl. Data Eng., 2012

User oriented trajectory search for trip recommendation.

Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis

Proceedings of the 15th International Conference on Extending Database Technology, 2012

Delineating social network data anonymization via random edge perturbation.

Mingqiang Xue, Panagiotis Karras, Chedy Raïssi, Panos Kalnis, Hung Keng Pung

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Local and global recoding methods for anonymizing set-valued data.

Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis

VLDB J., 2011

SABRE: a Sensitive Attribute Bucketization and REdistribution framework for <i>t</i>-closeness.

Jianneng Cao, Panagiotis Karras, Panos Kalnis, Kian-Lee Tan

VLDB J., 2011

Anonymous Publication of Sensitive Transactional Data.

Gabriel Ghinita, Panos Kalnis, Yufei Tao

IEEE Trans. Knowl. Data Eng., 2011

ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings.

Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis

Proc. VLDB Endow., 2011

Approximate and exact hybrid algorithms for private nearest-neighbor queries with database protection.

Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino

GeoInformatica, 2011

Distributed Privacy Preserving Data Collection.

Mingqiang Xue, Panagiotis Papadimitriou, Chedy Raïssi, Panos Kalnis, Hung Keng Pung

Proceedings of the Database Systems for Advanced Applications, 2011

2010

Enabling search services on outsourced private spatial data.

Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis

VLDB J., 2010

Efficient and accurate nearest neighbor and closest pair search in high-dimensional space.

Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis

ACM Trans. Database Syst., 2010

Providing K-Anonymity in location based services.

Aris Gkoulalas-Divanis, Panos Kalnis, Vassilios S. Verykios

SIGKDD Explor., 2010

A reciprocal framework for spatial K-anonymity.

Gabriel Ghinita, Keliang Zhao, Dimitris Papadias, Panos Kalnis

Inf. Syst., 2010

2009

Spatial Anonymity.

Panos Kalnis, Gabriel Ghinita

Proceedings of the Encyclopedia of Database Systems, 2009

Distributed Spatial Databases.

Panos Kalnis

Proceedings of the Encyclopedia of Database Systems, 2009

A framework for efficient data anonymization under privacy and accuracy constraints.

Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis

ACM Trans. Database Syst., 2009

Repeatability & workability evaluation of SIGMOD 2009.

Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis, Konstantinos Karanasos, Dominique Laurent, Mihai Lupu, Nicola Onose, Christopher Ré, Virginie Sans, Pierre Senellart, Tina Wu, Dennis E. Shasha

SIGMOD Rec., 2009

A Hybrid Technique for Private Location-Based Queries with Database Protection.

Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino

Proceedings of the Advances in Spatial and Temporal Databases, 2009

Authenticated join processing in outsourced databases.

Yin Yang, Dimitris Papadias, Stavros Papadopoulos, Panos Kalnis

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Quality and efficiency in high dimensional nearest neighbor search.

Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Location Diversity: Enhanced Privacy Protection in Location Based Services.

Mingqiang Xue, Panos Kalnis, Hung Keng Pung

Proceedings of the Location and Context Awareness, 4th International Symposium, 2009

Outsourcing Search Services on Private Spatial Data.

Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Top-k OLAP Queries Using Augmented Spatial Access Methods.

Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis

Proceedings of the Encyclopedia of GIS., 2008

Olap Results, Distributed Caching.

Panos Kalnis, Gabriel Ghinita

Proceedings of the Encyclopedia of GIS., 2008

DCMP: A Distributed Cycle Minimization Protocol for Peer-to-Peer Networks.

Zhenzhou Zhu, Panos Kalnis, Spiridon Bakiras

IEEE Trans. Parallel Distributed Syst., 2008

Privacy-preserving anonymization of set-valued data.

Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis

Proc. VLDB Endow., 2008

POEMS: Peer-Based Overload Management.

Wee Siong Ng, Panos Kalnis, Kian-Lee Tan, Markus Kirchberg

Proceedings of the Web Information Systems Engineering, 2008

Privacy-Preserving Publication of User Locations in the Proximity of Sensitive Sites.

Bharath Krishnamachari, Gabriel Ghinita, Panos Kalnis

Proceedings of the Scientific and Statistical Database Management, 2008

Private queries in location based services: anonymizers are not necessary.

Gabriel Ghinita, Panos Kalnis, Ali Khoshgozaran, Cyrus Shahabi, Kian-Lee Tan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

On the Anonymization of Sparse High-Dimensional Data.

Gabriel Ghinita, Yufei Tao, Panos Kalnis

Proceedings of the 24th International Conference on Data Engineering, 2008

Tracking Moving Objects in Anonymized Trajectories.

Nikolay Vyahhi, Spiridon Bakiras, Panos Kalnis, Gabriel Ghinita

Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007

Preventing Location-Based Identity Inference in Anonymous Spatial Queries.

Panos Kalnis, Gabriel Ghinita, Kyriakos Mouratidis, Dimitris Papadias

IEEE Trans. Knowl. Data Eng., 2007

PRIVE: anonymous location-based queries in distributed mobile systems.

Gabriel Ghinita, Panos Kalnis, Spiros Skiadopoulos

Proceedings of the 16th International Conference on World Wide Web, 2007

Fast Data Anonymization with Low Information Loss.

Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

MobiHide: A Mobilea Peer-to-Peer System for Anonymous Location-Based Queries.

Gabriel Ghinita, Panos Kalnis, Spiros Skiadopoulos

Proceedings of the Advances in Spatial and Temporal Databases, 2007

2006

Answering similarity queries in peer-to-peer networks.

Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Kian-Lee Tan

Inf. Syst., 2006

Ad-hoc distributed spatial joins on mobile devices.

Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras, Xiaochen Li

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

2005

Generalized multidimensional data mapping and query processing.

Rui Zhang, Panos Kalnis, Beng Chin Ooi, Kian-Lee Tan

ACM Trans. Database Syst., 2005

Evaluation of Top-k OLAP Queries Using Aggregate R-Trees.

Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis

Proceedings of the Advances in Spatial and Temporal Databases, 9th International Symposium, 2005

On Discovering Moving Clusters in Spatio-temporal Data.

Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras

Proceedings of the Advances in Spatial and Temporal Databases, 9th International Symposium, 2005

Similarity Evaluation on Tree-structured Data.

Rui Yang, Panos Kalnis, Anthony K. H. Tung

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Real Datasets for File-Sharing Peer-to-Peer Systems.

Shen-Tat Goh, Panos Kalnis, Spiridon Bakiras, Kian-Lee Tan

Proceedings of the Database Systems for Advanced Applications, 2005

2004

Processing Ad-Hoc Joins on Mobile Devices.

Eric Lo, Nikos Mamoulis, David Wai-Lok Cheung, Wai-Shing Ho, Panos Kalnis

Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

Efficient Processing of Distributed Iceberg Semi-joins.

Mohammed Kasim Imthiyaz, Dong Xiaoan, Panos Kalnis

Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

Localized signature table: fast similarity search on transaction data.

Qiang Jing, Rui Yang, Panos Kalnis, Anthony K. H. Tung

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003

Multi-query optimization for on-line analytical processing.

Panos Kalnis, Dimitris Papadias

Inf. Syst., 2003

Optimization of Spatial Joins on Mobile Devices.

Nikos Mamoulis, Panos Kalnis, Spiridon Bakiras, Xiaochen Li

Proceedings of the Advances in Spatial and Temporal Databases, 8th International Symposium, 2003

A General Framework for Searching in Distributed Data Repositories.

Spiridon Bakiras, Panos Kalnis, Thanasis Loukopoulos, Wee Siong Ng

Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

2002

View selection using randomized search.

Panos Kalnis, Nikos Mamoulis, Dimitris Papadias

Data Knowl. Eng., 2002

An adaptive peer-to-peer network for distributed caching of OLAP results.

Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Dimitris Papadias, Kian-Lee Tan

Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Indexing Spatio-Temporal Data Warehouses.

Dimitris Papadias, Yufei Tao, Panos Kalnis, Jun Zhang

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

2001

Efficient OLAP Operations in Spatial Data Warehouses.

Dimitris Papadias, Panos Kalnis, Jun Zhang, Yufei Tao

Proceedings of the Advances in Spatial and Temporal Databases, 7th International Symposium, 2001

Proxy-Server Architectures for OLAP.

Panos Kalnis, Dimitris Papadias

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Active Caching of On-Line-Analytical-Processing Queries in WWW Proxies.

Thanasis Loukopoulos, Panos Kalnis, Ishfaq Ahmad, Dimitris Papadias

Proceedings of the 2001 International Conference on Parallel Processing, 2001

Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments.

Panos Kalnis, Dimitris Papadias

Proceedings of the Data Warehousing and Knowledge Discovery, 2001

1999

Content-Based Retrieval Using Heuristic Search.

Dimitris Papadias, Marios Mantzourogiannis, Panos Kalnis, Nikos Mamoulis, Ishfaq Ahmad

Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

Hierarchical Constraint Satisfaction in Spatial Databases.

Dimitris Papadias, Panos Kalnis, Nikos Mamoulis

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999