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ORCIDLe Gruenwald
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- affiliation: University of Oklahoma, Norman, USA
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2020 – today
- 2024
[j48]Egawati Panjei
, Le Gruenwald:
Discovering outlying attributes of outliers in data streams. Data Knowl. Eng. 154: 102349 (2024)- [c156]An-Truong Tran Phan, Laurent d'Orazio, Thuong-Cang Phan, Le Gruenwald:
GUESS: MonitorinG Join qUery Execution in Serverless and Serverful Spark. DASFAA (7) 2024: 489-493 - [c155]Valter Uotila, Sven Groppe, Le Gruenwald, Jiaheng Lu, Wolfgang Mauerer:
Workshop Summary of the Second International Workshop on Quantum Data Science and Management (QDSM). VLDB Workshops 2024 - 2023
- [j47]Hamza Mustafa, Clark Barrus, Eleazar Leal, Le Gruenwald:
GTraclus: a novel algorithm for local trajectory clustering on GPUs. Distributed Parallel Databases 41(3): 467-488 (2023) - [j46]Umut Çalikyilmaz, Sven Groppe, Jinghua Groppe, Tobias Winker, Stefan Prestel, Farida Shagieva, Daanish Arya, Florian Preis, Le Gruenwald:
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules. Proc. VLDB Endow. 16(9): 2344-2353 (2023) - [c154]Tobias Winker, Umut Çalikyilmaz, Le Gruenwald, Sven Groppe:
Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits. BiDEDE@SIGMOD 2023: 5:1-5:7 - [c153]Egawati Panjei, Le Gruenwald:
EXOS: Explaining Outliers in Data Streams. DaWaK 2023: 25-41 - [c152]Sven Groppe, Le Gruenwald, Ching-Hsien Hsu:
Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE). SIGMOD Conference Companion 2023: 309-310 - [c151]Le Gruenwald, Tobias Winker, Umut Çalikyilmaz, Jinghua Groppe, Sven Groppe:
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications. VLDB Workshops 2023 - [c150]Valter Uotila, Sven Groppe, Le Gruenwald, Jiaheng Lu, Wolfgang Mauerer:
Preface QDSM. VLDB Workshops 2023 - [e12]Sven Groppe, Le Gruenwald, Ching-Hsien Hsu:
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BiDEDE 2023, Seattle, WA, USA, 18 June 2023. ACM 2023 [contents] - [e11]Le Gruenwald, Elio Masciari, Colette Rolland, Jorge Bernardino:
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, Volume 3: KMIS, Rome, Italy, November 13-15, 2023. SCITEPRESS 2023, ISBN 978-989-758-671-2 [contents] - [e10]Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - 2022
- [j45]Judith Santos-Pereira, Le Gruenwald, Jorge Bernardino:
Top data mining tools for the healthcare industry. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 4968-4982 (2022) - [j44]Gurdeep Singh Hura, Sven Groppe, Sarika Jain, Le Gruenwald:
Artificial Intelligence in Global Epidemics, Part 2. New Gener. Comput. 40(4): 935-939 (2022) - [j43]Egawati Panjei, Le Gruenwald, Eleazar Leal, Christopher Nguyen, Shejuti Silvia:
A survey on outlier explanations. VLDB J. 31(5): 977-1008 (2022) - [c149]Laurent d'Orazio, Jalil Boukhobza, Omer F. Rana, Juba Agoun, Le Gruenwald, Hervé Rannou, Elisa Bertino, Mohand-Saïd Hacid, Taofik Saïdi, Georges Bossert, Van Long Nguyen Huu, Dimitri Tombroff, Makoto Onizuka:
The Lannion report on Big Data and Security Monitoring Research. IEEE Big Data 2022: 2960-2969 - [c148]Chenxiao Wang, Le Gruenwald, Laurent d'Orazio:
SLA-Aware Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization. DaWaK 2022: 249-255 - [c147]Zahra Sadri, Le Gruenwald:
A Divergent Index Advisor Using Deep Reinforcement Learning. DEXA (1) 2022: 139-152 - [c146]Sven Groppe, Le Gruenwald, Ching-Hsien Hsu:
BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments. SIGMOD Conference 2022: 2542-2543 - [e9]Sven Groppe, Le Gruenwald, Ching-Hsien Hsu:
BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, in conjunction with the 2022 ACM SIGMOD/PODS Conference in Philadelphia, PA, USA, June 12, 2022. ACM 2022, ISBN 978-1-4503-9346-1 [contents] - 2021
- [j42]Gurdeep Singh Hura, Sven Groppe, Sarika Jain, Le Gruenwald:
Artificial Intelligence in Global Epidemics, Part 1. New Gener. Comput. 39(3): 483-485 (2021) - [c145]Abinash Borah, Le Gruenwald, Eleazar Leal, Egawati Panjei:
A GPU Algorithm for Detecting Contextual Outliers in Multiple Concurrent Data Streams. IEEE BigData 2021: 2737-2742 - [c144]Hamza Mustafa, Clark Barrus, Eleazar Leal, Le Gruenwald:
GTraclus: A Local Trajectory Clustering Algorithm for GPUs. ICDE Workshops 2021: 30-35 - [c143]Chenxiao Wang, Le Gruenwald, Laurent d'Orazio, Eleazar Leal:
Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization. MEDI 2021: 141-155 - [c142]Somayah Karsoum, Clark Barrus, Le Gruenwald, Eleazar Leal:
Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns. PAKDD (1) 2021: 668-685 - [e8]Sven Groppe, Le Gruenwald, Ching-Hsien Hsu:
BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, In conjunction with the 2021 ACM SIGMOD/PODS Conference, BiDEDE@SIGMOD 2021, Virtual Event, China, 20 June, 2021. ACM 2021, ISBN 978-1-4503-8465-0 [contents] - 2020
- [c141]Zachary Arani, Drake Chapman, Chenxiao Wang, Le Gruenwald, Laurent d'Orazio, Taras Basiuk:
A Scored Semantic Cache Replacement Strategy for Mobile Cloud Database Systems. ADBIS/TPDL/EDA Workshops 2020: 237-248 - [c140]Taras Basiuk, Le Gruenwald, Laurent d'Orazio, Eleazar Leal:
A Persistent Memory-Aware Buffer Pool Manager Simulator for Multi-Tenant Cloud Databases. ICDE Workshops 2020: 121-126 - [c139]Zahra Sadri, Le Gruenwald, Eleazar Leal:
Online Index Selection Using Deep Reinforcement Learning for a Cluster Database. ICDE Workshops 2020: 158-161 - [c138]Zahra Sadri, Le Gruenwald, Eleazar Leal:
DRLindex: deep reinforcement learning index advisor for a cluster database. IDEAS 2020: 11:1-11:8 - [e7]Sven Groppe, Le Gruenwald, Valentina Presutti:
Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020. ACM 2020, ISBN 978-1-4503-7974-8 [contents]
2010 – 2019
- 2019
- [c137]Eleazar Leal, Le Gruenwald:
A Study on Database Cracking with GPUs. ADMS@VLDB 2019: 22-33 - [c136]Jianting Zhang, Le Gruenwald:
Efficient Quadtree Construction for Indexing Large-Scale Point Data on GPUs: Bottom-Up vs. Top-Down. ADMS@VLDB 2019: 34-46 - [c135]Somayah Karsoum, Le Gruenwald, Clark Barrus, Eleazar Leal:
Using Timed Sequential Patterns in the Transportation Industry. IEEE BigData 2019: 3573-3582 - [c134]Hamza Mustafa, Eleazar Leal, Le Gruenwald:
An Experimental Comparison of GPU Techniques for DBSCAN Clustering. IEEE BigData 2019: 3701-3710 - [c133]Chenxiao Wang, Zachary Arani, Le Gruenwald, Laurent d'Orazio:
A Vision of a Decisional Model for Re-optimizing Query Execution Plans Based on Machine Learning Techniques. DOLAP 2019 - [c132]Sven Groppe, Le Gruenwald:
SBD'19: Fourth Edition of the International Workshop on Semantic Big Data. SIGMOD Conference 2019: 2075-2076 - [e6]Sven Groppe, Le Gruenwald:
Proceedings of the International Workshop on Semantic Big Data, SBD@SIGMOD 2019, Amsterdam, The Netherlands, July 5, 2019. ACM 2019, ISBN 978-1-4503-6766-0 [contents] - 2018
- [j41]Eleazar Leal, Le Gruenwald:
Research Issues of Outlier Detection in Trajectory Streams Using GPUs. SIGKDD Explor. 20(2): 13-20 (2018) - [c131]Eleazar Leal, Le Gruenwald:
DynMDL: A Parallel Trajectory Segmentation Algorithm. BigData Congress 2018: 215-218 - [c130]Hamza Mustafa, Eleazar Leal, Le Gruenwald:
FastTopK: A Fast Top-K Trajectory Similarity Query Processing Algorithm for GPUs. IEEE BigData 2018: 542-547 - [c129]Chenxiao Wang, Zach Arani, Le Gruenwald, Laurent d'Orazio:
Adaptive Time, Monetary Cost Aware Query Optimization on Cloud Database Systems. IEEE BigData 2018: 3374-3382 - [c128]Somayah Karsoum, Le Gruenwald, Eleazar Leal:
Impact of Trajectory Segmentation on Discovering Trajectory Sequential Patterns. IEEE BigData 2018: 3432-3441 - [c127]Jianting Zhang, Le Gruenwald:
Regularizing irregularity: bitmap-based and portable sparse matrix multiplication for graph data on GPUs. GRADES/NDA@SIGMOD/PODS 2018: 4:1-4:8 - [c126]Md. Shiblee Sadik, Le Gruenwald, Eleazar Leal:
Wadjet: Finding Outliers in Multiple Multi-Dimensional Heterogeneous Data Streams. ICDE 2018: 1232-1235 - [e5]Sven Groppe, Le Gruenwald:
Proceedings of the International Workshop on Semantic Big Data, SBD@SIGMOD 2018, Houston, TX, USA, June 10, 2018. ACM 2018 [contents] - [r2]Le Gruenwald:
Data Estimation in Sensor Networks. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c125]Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You:
Parallel Compression and Indexing of Large-Scale Geospatial Raster Data with GPGPUs. BigData Congress 2017: 137-144 - [c124]Chenxiao Wang, Jason Arenson, Florian Helff, Le Gruenwald, Laurent d'Orazio:
Improving user interaction in mobile-cloud database query processing. IEEE BigData 2017: 2500-2507 - [c123]Austin Graham, Yan Liang, Le Gruenwald, Christan Grant:
[Research paper] formalizing interruptible algorithms for human over-the-loop analytics. IEEE BigData 2017: 4378-4383 - [c122]Jianting Zhang, Simin You, Le Gruenwald:
Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs. ICDE 2017: 1591-1598 - [c121]Jianting Zhang, Simin You, Le Gruenwald:
Towards GPU-Accelerated Web-GIS for Query-Driven Visual Exploration. W2GIS 2017: 119-136 - [e4]Sven Groppe, Le Gruenwald:
Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2017, Chicago, IL, USA, May 19, 2017. ACM 2017, ISBN 978-1-4503-4987-1 [contents] - [i10]Austin Graham, Yan Liang, Le Gruenwald, Christan Grant:
Formalizing Interruptible Algorithms for Human over-the-loop Analytics. CoRR abs/1712.00715 (2017) - 2016
- [c120]Liangzhe Li, Le Gruenwald:
An SLA and Operation Cost Aware Performance Re-tuning Algorithm for Cloud Databases. CLOUD 2016: 966-969 - [c119]Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You:
Towards an Efficient Top-K Trajectory Similarity Query Processing Algorithm for Big Trajectory Data on GPGPUs. BigData Congress 2016: 206-213 - [c118]Eleazar Leal, Le Gruenwald, Jianting Zhang:
Handling uncertainty in trajectories of moving objects in unconstrained outdoor spaces. IEEE BigData 2016: 492-501 - [c117]Md. Shiblee Sadik, Le Gruenwald, Eleazar Leal:
In pursuit of outliers in multi-dimensional data streams. IEEE BigData 2016: 512-521 - [c116]Pedro Daniel Coimbra de Almeida, Le Gruenwald, Jorge Bernardino:
Evaluating Open Source Data Mining Tools for Business. DATA 2016: 87-94 - [c115]Florian Helff, Le Gruenwald, Laurent d'Orazio:
Weighted Sum Model for Multi-Objective Query Optimization for Mobile-Cloud Database Environments. EDBT/ICDT Workshops 2016 - [c114]Simin You, Jianting Zhang, Le Gruenwald:
High-performance polyline intersection based spatial join on GPU-accelerated clusters. BigSpatial@SIGSPATIAL 2016: 42-49 - [e3]Sven Groppe, Le Gruenwald:
Proceedings of the International Workshop on Semantic Big Data, San Francisco, CA, USA, July 1, 2016. ACM 2016, ISBN 978-1-4503-4299-5 [contents] - [i9]Jérôme Darmont, Le Gruenwald:
A comparison study of object-oriented database clustering techniques. CoRR abs/1611.09177 (2016) - 2015
- [c113]Jianting Zhang, Simin You, Le Gruenwald:
Lightweight Distributed Execution Engine for Large-Scale Spatial Join Query Processing. BigData Congress 2015: 150-157 - [c112]Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You:
TKSimGPU: A parallel top-K trajectory similarity query processing algorithm for GPGPUs. IEEE BigData 2015: 461-469 - [c111]Jianting Zhang, Simin You, Le Gruenwald:
Quadtree-based lightweight data compression for large-scale geospatial rasters on multi-core CPUs. IEEE BigData 2015: 478-484 - [c110]Jianting Zhang, Simin You, Le Gruenwald:
Efficient Parallel Zonal Statistics on Large-Scale Global Biodiversity Data on GPUs. BigSpatial@SIGSPATIAL 2015: 35-44 - [c109]Jianting Zhang, Simin You, Le Gruenwald:
Tiny GPU Cluster for Big Spatial Data: A Preliminary Performance Evaluation. ICDCS Workshops 2015: 142-147 - [c108]Simin You, Jianting Zhang, Le Gruenwald:
Large-scale spatial join query processing in Cloud. ICDE Workshops 2015: 34-41 - [c107]Simin You, Jianting Zhang, Le Gruenwald:
Scalable and efficient spatial data management on multi-core CPU and GPU clusters: A preliminary implementation based on Impala. ICDE Workshops 2015: 143-148 - [c106]Simin You, Jianting Zhang, Le Gruenwald:
Spatial Join Query Processing in Cloud: Analyzing Design Choices and Performance Comparisons. ICPP Workshops 2015: 90-97 - [c105]Mikael Perrin, Jonathan Mullen, Florian Helff, Le Gruenwald, Laurent d'Orazio:
Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database System. Big-O(Q)/DMAH@VLDB 2015: 71-85 - 2014
- [j40]Jianting Zhang, Simin You, Le Gruenwald:
Parallel online spatial and temporal aggregations on multi-core CPUs and many-core GPUs. Inf. Syst. 44: 134-154 (2014) - [j39]Sven Groppe, Thomas Kiencke, Stefan Werner, Dennis Heinrich, Marc Stelzner, Le Gruenwald:
P-LUPOSDATE: Using Precomputed Bloom Filters to Speed Up SPARQL Processing in the Cloud. Open J. Semantic Web 1(2): 25-55 (2014) - [j38]Le Gruenwald:
Large-scale spatial data processing on GPUs and GPU-accelerated clusters. ACM SIGSPATIAL Special 6(3): 27-34 (2014) - [c104]Jianting Zhang, Simin You, Le Gruenwald:
High-Performance Spatial Query Processing on Big Taxi Trip Data Using GPGPUs. BigData Congress 2014: 72-79 - [c103]Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You:
Parallel QuadTree encoding of large-scale raster geospatial data on multicore CPUs and GPGPUs. BigSpatial@SIGSPATIAL 2014: 30-39 - [c102]Liangzhe Li, Le Gruenwald:
SMOPD-C: An autonomous vertical partitioning technique for distributed databases on cluster computers. IRI 2014: 171-178 - [c101]Jianting Zhang, Simin You, Le Gruenwald:
Data Parallel Quadtree Indexing and Spatial Query Processing of Complex Polygon Data on GPUs. ADMS@VLDB 2014: 13-24 - 2013
- [j37]Zhaowen Xing, Le Gruenwald:
Managing concurrent execution of transactions in mobile ad-hoc network database systems: an energy-efficient approach. Distributed Parallel Databases 31(2): 183-230 (2013) - [j36]Md. Shiblee Sadik, Le Gruenwald:
Research issues in outlier detection for data streams. SIGKDD Explor. 15(1): 33-40 (2013) - [j35]Yahia Chabane, Laurent d'Orazio, Le Gruenwald, Baraa Mohamad, Christophe Rey:
Medical data management in the SYSEO project. SIGMOD Rec. 42(3): 48-53 (2013) - [c100]Simin You, Jianting Zhang, Le Gruenwald:
Parallel spatial query processing on GPUs using R-trees. BigSpatial@SIGSPATIAL 2013: 23-31 - [c99]Hanqing Yang, Le Gruenwald, Mathilda Boulanger:
A novel real-time framework for extracting patterns from trajectory data streams. IWGS 2013: 26-32 - [c98]Liangzhe Li, Le Gruenwald:
Self-managing online partitioner for databases (SMOPD): a vertical database partitioning system with a fully automatic online approach. IDEAS 2013: 168-173 - 2012
- [j34]Songqing Chen, Le Gruenwald, James Joshi, Karl Aberer:
ACM/Springer Mobile Networks and Applications (MONET) Special Issue on "Collaborative Computing: Networking, Applications and Worksharing". Mob. Networks Appl. 17(4): 506-507 (2012) - [c97]Baraa Mohamad, Laurent d'Orazio, Le Gruenwald:
Towards a hybrid row-column database for a cloud-based medical data management system. Cloud-I 2012: 2 - [c96]Jianting Zhang, Simin You, Le Gruenwald:
High-performance online spatial and temporal aggregations on multi-core CPUs and many-core GPUs. DOLAP 2012: 89-96 - [c95]Liangzhe Li, Le Gruenwald:
Autonomous database partitioning using data mining on single computers and cluster computers. IDEAS 2012: 32-41 - [c94]Jianting Zhang, Camille Kamga, Hongmian Gong, Le Gruenwald:
U2SOD-DB: a database system to manage large-scale ubiquitous urban sensing origin-destination data. UrbComp@KDD 2012: 163-171 - 2011
- [j33]Sven Groppe, Jinghua Groppe, Niklas Klein, Ralf Bettentrupp, Stefan Böttcher, Le Gruenwald:
Transforming XSLT stylesheets into XQuery expressions and vice versa. Comput. Lang. Syst. Struct. 37(2): 76-111 (2011) - [c93]Zhaowen Xing, Le Gruenwald:
An Energy-Efficient Concurrency Control Algorithm for Mobile Ad-Hoc Network Databases. DEXA (1) 2011: 496-510 - [c92]Jianting Zhang, Simin You, Le Gruenwald:
Parallel quadtree coding of large-scale raster geospatial data on GPGPUs. GIS 2011: 457-460 - [c91]Md. Shiblee Sadik, Le Gruenwald:
Online outlier detection for data streams. IDEAS 2011: 88-96 - [c90]Md. Shiblee Sadik, Le Gruenwald:
An Adaptive Outlier Detection Technique for Data Streams. SSDBM 2011: 596-597 - 2010
- [c89]Rahul Shukla, Le Gruenwald:
Research issues in Privacy-preserving Record Linkage. CTS 2010: 516-517 - [c88]Md. Shiblee Sadik, Le Gruenwald:
DBOD-DS: Distance Based Outlier Detection for Data Streams. DEXA (1) 2010: 122-136 - [c87]Le Gruenwald, Md. Shiblee Sadik, Rahul Shukla, Hanqing Yang:
DEMS: a data mining based technique to handle missing data in mobile sensor network applications. DMSN 2010: 26-32 - [c86]Jianting Zhang, Simin You, Le Gruenwald:
Indexing large-scale raster geospatial data using massively parallel GPGPU computing. GIS 2010: 450-453 - [c85]Zhaowen Xing, Le Gruenwald, Seokil Song:
An optimistic concurrency control algorithm for mobile ad-hoc network databases. IDEAS 2010: 199-204 - [c84]Wenyan Wu, Le Gruenwald:
Research issues in mining multiple data streams. StreamKDD@KDD 2010: 56-60 - [c83]Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rahul Shukla:
Using data mining to handle missing data in multi-hop sensor network applications. MobiDE 2010: 9-16
2000 – 2009
- 2009
- [j32]Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum:
The Claremont report on database research. Commun. ACM 52(6): 56-65 (2009) - [j31]Jianting Zhang, Le Gruenwald, Michael Gertz:
VDM-RS: A visual data mining system for exploring and classifying remotely sensed images. Comput. Geosci. 35(9): 1827-1836 (2009) - [j30]Sven Groppe, Jinghua Groppe, Stefan Böttcher, Thomas Wycisk, Le Gruenwald:
Optimizing the execution of XSLT stylesheets for querying transformed XML data. Knowl. Inf. Syst. 18(3): 331-391 (2009) - [c82]Hamed Chok, Le Gruenwald:
Spatio-temporal association rule mining framework for real-time sensor network applications. CIKM 2009: 1761-1764 - [c81]Jianting Zhang, Michael Gertz, Le Gruenwald:
Efficiently managing large-scale raster species distribution data in PostgreSQL. GIS 2009: 316-325 - [c80]Hamed Chok, Le Gruenwald:
An online spatio-temporal association rule mining framework for analyzing and estimating sensor data. IDEAS 2009: 217-226 - [e2]Yannis Kotidis, Pedro José Marrón, Le Gruenwald, Demetrios Zeinalipour-Yazti:
Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access, Mobide 2009, June 29, 2009, Providence, Rhode Island, USA, Proceedings. ACM 2009, ISBN 978-1-60558-712-7 [contents] - [r1]Le Gruenwald:
Data Estimation in Sensor Networks. Encyclopedia of Database Systems 2009: 574-575 - 2008
- [j29]Leonard Brown, Le Gruenwald:
Using editing operations to improve searching by color in multimedia database systems. Int. J. Imaging Syst. Technol. 18(2-3): 182-194 (2008) - [j28]Frank Olken, Le Gruenwald:
Data Stream Management: Aggregation, Classification, Modeling, and Operator Placement. IEEE Internet Comput. 12(6): 9-12 (2008) - [j27]Scott A. Moses, Le Gruenwald, Khushru Dadachanji:
A scalable data structure for real-time estimation of resource availability in build-to-order environments. J. Intell. Manuf. 19(5): 611-622 (2008) - [j26]