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ORCIDAmol Deshpande
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
[j40]Amine Mhedhbi, Amol Deshpande, Semih Salihoglu:
Modern Techniques For Querying Graph-structured Databases. Found. Trends Databases 14(2): 72-185 (2024)- [c77]Anxin Guo, Jingwei Li, Pattara Sukprasert, Samir Khuller, Amol Deshpande, Koyel Mukherjee:
To Store or Not to Store: a graph theoretical approach for Dataset Versioning. IPDPS 2024: 479-493 - [i31]Anxin Guo, Jingwei Li, Pattara Sukprasert, Samir Khuller, Amol Deshpande, Koyel Mukherjee:
To Store or Not to Store: a graph theoretical approach for Dataset Versioning. CoRR abs/2402.11741 (2024) - [i30]Hasara Kalumin, Amol Deshpande:
Optimizing Queries with Many-to-Many Joins. CoRR abs/2412.16323 (2024) - 2023
- [i29]Gang Liao, Amol Deshpande, Daniel J. Abadi:
Flock: A Low-Cost Streaming Query Engine on FaaS Platforms. CoRR abs/2312.16735 (2023) - 2021
- [c76]Amol Deshpande:
Sypse: Privacy-first Data Management through Pseudonymization and Partitioning. CIDR 2021 - [i28]Aadesh Bagmar, Shishira R. Maiya, Shruti Bidwalka, Amol Deshpande:
Membership Inference Attacks on Lottery Ticket Networks. CoRR abs/2108.03506 (2021)
2010 – 2019
- 2019
- [j39]Jian Li
, Amol Deshpande:
Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. Math. Oper. Res. 44(1): 354-375 (2019) - [j38]Anastasia Ailamaki, Periklis Chrysogelos, Amol Deshpande, Tim Kraska:
The SIGMOD 2019 Research Track Reviewing System. SIGMOD Rec. 48(2): 47-54 (2019) - [c75]Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran:
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. CIKM 2019: 841-850 - [c74]Hui Miao, Amol Deshpande:
Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization. ICDE 2019: 1710-1713 - [e4]Peter A. Boncz, Stefan Manegold, Anastasia Ailamaki, Amol Deshpande, Tim Kraska:
Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019. ACM 2019, ISBN 978-1-4503-5643-5 [contents] - [r8]Udayan Khurana, Amol Deshpande:
Historical Graph Management. Encyclopedia of Big Data Technologies 2019 - [i27]Konstantinos Xirogiannopoulos, Amol Deshpande:
Memory-Efficient Group-by Aggregates over Multi-Way Joins. CoRR abs/1906.05745 (2019) - 2018
- [j37]Hui Miao, Amol Deshpande:
ProvDB: Provenance-enabled Lifecycle Management of Collaborative Data Analysis Workflows. IEEE Data Eng. Bull. 41(4): 26-38 (2018) - [j36]Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo:
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 47(3): 32-35 (2018) - [c73]Amol Deshpande:
In situ graph querying and analytics with graphgen: extended abstract. GRADES/NDA@SIGMOD/PODS 2018: 2:1-2:2 - [c72]Souvik Bhattacherjee, Amol Deshpande:
RStore: A Distributed Multi-Version Document Store. ICDE 2018: 389-400 - [r7]Amol Deshpande:
Data Compression in Sensor Networks. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Amol Deshpande:
Graphical Models for Uncertain Data Management. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Amol Deshpande, Carlos Guestrin, Samuel Madden:
Model-Based Querying in Sensor Networks. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Jayanta Mondal, Amol Deshpande:
Stream Querying and Reasoning on Social Data. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i26]Souvik Bhattacherjee, Amol Deshpande:
RStore: A Distributed Multi-version Document Store. CoRR abs/1802.07693 (2018) - [i25]Hui Miao, Amol Deshpande:
Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization. CoRR abs/1810.04599 (2018) - 2017
- [j35]Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande:
Big Graph Analytics Platforms. Found. Trends Databases 7(1-2): 1-195 (2017) - [c71]Souvik Bhattacherjee, Amol Deshpande:
RStore: efficient multiversion document management in the cloud. SoCC 2017: 658 - [c70]Konstantinos Xirogiannopoulos, Virinchi Srinivas, Amol Deshpande:
GraphGen: Adaptive Graph Processing using Relational Databases. GRADES@SIGMOD/PODS 2017: 9:1-9:7 - [c69]Buwen Wu, Yongluan Zhou, Hai Jin, Amol Deshpande:
Parallel SPARQL Query Optimization. ICDE 2017: 547-558 - [c68]Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande:
Towards Unified Data and Lifecycle Management for Deep Learning. ICDE 2017: 571-582 - [c67]Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande:
ModelHub: Deep Learning Lifecycle Management. ICDE 2017: 1393-1394 - [c66]Bum Jun Kwon, Virinchi Srinivas, Amol Deshpande, Tudor Dumitras:
Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent Delivery Campaigns. NDSS 2017 - [c65]Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande:
On Model Discovery For Hosted Data Science Projects. DEEM@SIGMOD 2017: 6:1-6:4 - [c64]Hui Miao, Amit Chavan, Amol Deshpande:
ProvDB: Lifecycle Management of Collaborative Analysis Workflows. HILDA@SIGMOD 2017: 7:1-7:6 - [c63]Amit Chavan, Amol Deshpande:
DEX: Query Execution in a Delta-based Storage System. SIGMOD Conference 2017: 171-186 - [c62]Konstantinos Xirogiannopoulos, Amol Deshpande:
Extracting and Analyzing Hidden Graphs from Relational Databases. SIGMOD Conference 2017: 897-912 - [i24]Konstantinos Xirogiannopoulos, Amol Deshpande:
Extracting and Analyzing Hidden Graphs from Relational Databases. CoRR abs/1701.07388 (2017) - 2016
- [j34]Michael Maddox, David Goehring, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran, Amol Deshpande:
Decibel: The Relational Dataset Branching System. Proc. VLDB Endow. 9(9): 624-635 (2016) - [j33]Amol Deshpande, Lisa Hellerstein, Devorah Kletenik:
Approximation Algorithms for Stochastic Submodular Set Cover with Applications to Boolean Function Evaluation and Min-Knapsack. ACM Trans. Algorithms 12(3): 42:1-42:28 (2016) - [j32]Abdul Quamar, Amol Deshpande, Jimmy Lin:
NScale: neighborhood-centric large-scale graph analytics in the cloud. VLDB J. 25(2): 125-150 (2016) - [c61]Jayanta Mondal, Amol Deshpande:
CASQD: continuous detection of activity-based subgraph pattern queries on dynamic graphs. DEBS 2016: 226-237 - [c60]Udayan Khurana, Amol Deshpande:
Storing and Analyzing Historical Graph Data at Scale. EDBT 2016: 65-76 - [c59]Abdul Quamar, Amol Deshpande:
NScaleSpark: subgraph-centric graph analytics on Apache Spark. NDA@SIGMOD 2016: 5:1-5:8 - [c58]Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava:
SourceSight: Enabling Effective Source Selection. SIGMOD Conference 2016: 2157-2160 - [c57]Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng:
Big Graph Analytics Systems. SIGMOD Conference 2016: 2241-2243 - [e3]Amol Deshpande, Balaraman Ravindran, Sayan Ranu:
21st International Conference on Management of Data, COMAD 2016, Pune, India, March 11-13, 2016. Computer Society of India 2016 [contents] - [i23]Hui Miao, Amit Chavan, Amol Deshpande:
ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows. CoRR abs/1610.04963 (2016) - [i22]Bum Jun Kwon, Virinchi Srinivas, Amol Deshpande, Tudor Dumitras:
Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent Delivery Campaigns. CoRR abs/1611.02787 (2016) - [i21]Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande:
ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning. CoRR abs/1611.06224 (2016) - 2015
- [j31]Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya G. Parameswaran:
Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff. Proc. VLDB Endow. 8(12): 1346-1357 (2015) - [j30]Anant P. Bhardwaj, Amol Deshpande, Aaron J. Elmore, David R. Karger, Sam Madden, Aditya G. Parameswaran, Harihar Subramanyam, Eugene Wu, Rebecca Zhang:
Collaborative Data Analytics with DataHub. Proc. VLDB Endow. 8(12): 1916-1919 (2015) - [j29]Konstantinos Xirogiannopoulos, Udayan Khurana, Amol Deshpande:
GraphGen: Exploring Interesting Graphs in Relational Data. Proc. VLDB Endow. 8(12): 2032-2035 (2015) - [c56]Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
DataHub: Collaborative Data Science & Dataset Version Management at Scale. CIDR 2015 - [c55]Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
Towards a Unified Query Language for Provenance and Versioning. TaPP 2015 - [i20]Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran:
CrowdGather: Entity Extraction over Structured Domains. CoRR abs/1502.06823 (2015) - [i19]Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya G. Parameswaran:
Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff. CoRR abs/1505.05211 (2015) - [i18]Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
Towards a unified query language for provenance and versioning. CoRR abs/1506.04815 (2015) - [i17]Udayan Khurana, Amol Deshpande:
Storing and Analyzing Historical Graph Data at Scale. CoRR abs/1509.08960 (2015) - 2014
- [j28]Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, Mike Stonebraker:
VERTEXICA: Your Relational Friend for Graph Analytics! Proc. VLDB Endow. 7(13): 1669-1672 (2014) - [j27]Abdul Quamar, Amol Deshpande, Jimmy Lin:
NScale: Neighborhood-centric Analytics on Large Graphs. Proc. VLDB Endow. 7(13): 1673-1676 (2014) - [j26]K. Ashwin Kumar, Abdul Quamar, Amol Deshpande, Samir Khuller:
SWORD: workload-aware data placement and replica selection for cloud data management systems. VLDB J. 23(6): 845-870 (2014) - [c54]K. Ashwin Kumar, Jonathan Gluck, Amol Deshpande, Jimmy Lin:
Optimization Techniques for "Scaling Down" Hadoop on Multi-Core, Shared-Memory Systems. EDBT 2014: 13-24 - [c53]Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor:
Subgraph pattern matching over uncertain graphs with identity linkage uncertainty. ICDE 2014: 904-915 - [c52]Jayanta Mondal, Amol Deshpande:
EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs. SIGMOD Conference 2014: 1335-1346 - [c51]Amol Deshpande, Lisa Hellerstein, Devorah Kletenik:
Approximation Algorithms for Stochastic Boolean Function Evaluation and Stochastic Submodular Set Cover. SODA 2014: 1453-1466 - [c50]Souvik Bhattacherjee, Amol Deshpande, Alan Sussman:
PStore: an efficient storage framework for managing scientific data. SSDBM 2014: 25:1-25:12 - [r3]Jayanta Mondal, Amol Deshpande:
Stream Querying and Reasoning on Social Data. Encyclopedia of Social Network Analysis and Mining 2014: 2063-2075 - [i16]Jayanta Mondal, Amol Deshpande:
EAGr: Supporting Continuous Ego-centric Aggregate Queries over Large Dynamic Graphs. CoRR abs/1404.6570 (2014) - [i15]Abdul Quamar, Amol Deshpande, Jimmy Lin:
NScale: Neighborhood-centric Large-Scale Graph Analytics in the Cloud. CoRR abs/1405.1499 (2014) - [i14]Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
DataHub: Collaborative Data Science & Dataset Version Management at Scale. CoRR abs/1409.0798 (2014) - 2013
- [j25]K. Ashwin Kumar, Jonathan Gluck, Amol Deshpande, Jimmy Lin:
Hone: "Scaling Down" Hadoop on Shared-Memory Systems. Proc. VLDB Endow. 6(12): 1354-1357 (2013) - [j24]Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala:
A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries. Proc. VLDB Endow. 6(13): 1594-1605 (2013) - [j23]Kostas Tzoumas, Amol Deshpande, Christian S. Jensen:
Efficiently adapting graphical models for selectivity estimation. VLDB J. 22(1): 3-27 (2013) - [c49]Abdul Quamar, K. Ashwin Kumar, Amol Deshpande:
SWORD: scalable workload-aware data placement for transactional workloads. EDBT 2013: 430-441 - [c48]Udayan Khurana, Amol Deshpande:
Efficient snapshot retrieval over historical graph data. ICDE 2013: 997-1008 - [c47]Megan Monroe, Amol Deshpande:
An Integer Programming Approach to Temporal Pattern Matching Queries. ICDM Workshops 2013: 1028-1035 - [c46]Koyel Mukherjee, Samir Khuller, Amol Deshpande:
Algorithms for the Thermal Scheduling Problem. IPDPS 2013: 949-960 - [c45]Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor:
GRDB: a system for declarative and interactive analysis of noisy information networks. SIGMOD Conference 2013: 1085-1088 - [c44]Udayan Khurana, Amol Deshpande:
HiNGE: enabling temporal network analytics at scale. SIGMOD Conference 2013: 1089-1092 - [i13]Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan:
Efficient Stepwise Selection in Decomposable Models. CoRR abs/1301.2267 (2013) - [i12]K. Ashwin Kumar, Amol Deshpande, Samir Khuller:
Data Placement and Replica Selection for Improving Co-location in Distributed Environments. CoRR abs/1302.4168 (2013) - [i11]Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala:
On Sharing Private Data with Multiple Non-Colluding Adversaries. CoRR abs/1302.6556 (2013) - [i10]Amol Deshpande, Lisa Hellerstein, Devorah Kletenik:
Approximation Algorithms for Stochastic Boolean Function Evaluation and Stochastic Submodular Set Cover. CoRR abs/1303.0726 (2013) - [i9]Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor:
Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty. CoRR abs/1305.7006 (2013) - 2012
- [j22]Behnam Bahrak, Amol Deshpande, Jung-Min "Jerry" Park:
Spectrum access policy reasoning for policy-based cognitive radios. Comput. Networks 56(11): 2649-2663 (2012) - [j21]Amol Deshpande, Lisa Hellerstein:
Parallel pipelined filter ordering with precedence constraints. ACM Trans. Algorithms 8(4): 41:1-41:38 (2012) - [j20]Taowei David Wang, Amol Deshpande, Ben Shneiderman:
A Temporal Pattern Search Algorithm for Personal History Event Visualization. IEEE Trans. Knowl. Data Eng. 24(5): 799-812 (2012) - [c43]Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor:
Ego-centric Graph Pattern Census. ICDE 2012: 234-245 - [c42]Koyel Mukherjee, Samir Khuller, Amol Deshpande:
Saving on cooling: the thermal scheduling problem. SIGMETRICS 2012: 397-398 - [c41]Jayanta Mondal, Amol Deshpande:
Managing large dynamic graphs efficiently. SIGMOD Conference 2012: 145-156 - [c40]Theodoros Rekatsinas, Amol Deshpande, Lise Getoor:
Local structure and determinism in probabilistic databases. SIGMOD Conference 2012: 373-384 - [i8]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Bisimulation-based Approximate Lifted Inference. CoRR abs/1205.2616 (2012) - [i7]Udayan Khurana, Amol Deshpande:
Efficient Snapshot Retrieval over Historical Graph Data. CoRR abs/1207.5777 (2012) - 2011
- [j19]Amol Deshpande, Samir Khuller, Azarakhsh Malekian, Mohammed Toossi:
Energy Efficient Monitoring in Sensor Networks. Algorithmica 59(1): 94-114 (2011) - [j18]Kostas Tzoumas, Amol Deshpande, Christian S. Jensen:
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions. Proc. VLDB Endow. 4(11): 852-863 (2011) - [j17]Jian Li, Barna Saha, Amol Deshpande:
A unified approach to ranking in probabilistic databases. VLDB J. 20(2): 249-275 (2011) - [c39]Jian Li, Amol Deshpande:
Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. FOCS 2011: 797-806 - [c38]Walaa Eldin Moustafa, Galileo Namata, Amol Deshpande, Lise Getoor:
Declarative analysis of noisy information networks. ICDE Workshops 2011: 106-111 - [c37]Bhargav Kanagal, Jian Li, Amol Deshpande:
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. SIGMOD Conference 2011: 841-852 - 2010
- [j16]Kostas Tzoumas, Amol Deshpande, Christian S. Jensen:
Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing. Proc. VLDB Endow. 3(1): 542-553 (2010) - [j15]Jian Li, Amol Deshpande:
Ranking Continuous Probabilistic Datasets. Proc. VLDB Endow. 3(1): 638-649 (2010) - [j14]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Read-Once Functions and Query Evaluation in Probabilistic Databases. Proc. VLDB Endow. 3(1): 1068-1079 (2010) - [c36]Amol Deshpande:
Increasing representational power and scaling reasoning in probabilistic databases. ICDT 2010: 1 - [c35]Jian Li, Amol Deshpande, Samir Khuller:
On Computing Compression Trees for Data Collection in Wireless Sensor Networks. INFOCOM 2010: 2115-2123 - [c34]Bhargav Kanagal, Amol Deshpande:
Lineage processing over correlated probabilistic databases. SIGMOD Conference 2010: 675-686 - [e2]Amol Deshpande, Anthony Hunter:
Scalable Uncertainty Management - 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings. Lecture Notes in Computer Science 6379, Springer 2010, ISBN 978-3-642-15950-3 [contents] - [i6]Jian Li, Amol Deshpande:
Utility Maximization under Uncertainty. CoRR abs/1012.3189 (2010)
2000 – 2009
- 2009
- [j13]Jian Li, Barna Saha, Amol Deshpande:
A Unified Approach to Ranking in Probabilistic Databases. Proc. VLDB Endow. 2(1): 502-513 (2009) - [j12]Anne Condon, Amol Deshpande, Lisa Hellerstein, Ning Wu:
Algorithms for distributional and adversarial pipelined filter ordering problems. ACM Trans. Algorithms 5(2): 24:1-24:34 (2009) - [j11]Prithviraj Sen, Amol Deshpande, Lise Getoor:
PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. 18(5): 1065-1090 (2009) - [c33]Jian Li, Amol Deshpande, Samir Khuller:
Minimizing Communication Cost in Distributed Multi-query Processing. ICDE 2009: 772-783 - [c32]Bhargav Kanagal, Amol Deshpande:
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. ICDE 2009: 1315-1318 - [c31]Jian Li, Amol Deshpande:
Consensus answers for queries over probabilistic databases. PODS 2009: 259-268 - [c30]Bhargav Kanagal, Amol Deshpande:
Indexing correlated probabilistic databases. SIGMOD Conference 2009: 455-468 - [c29]Amol Deshpande:
PrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract). SUM 2009: 1 - [c28]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Bisimulation-based Approximate Lifted Inference. UAI 2009: 496-505 - [r2]Amol Deshpande:
Data Compression in Sensor Networks. Encyclopedia of Database Systems 2009: 564-565 - [r1]Amol Deshpande, Carlos Guestrin, Samuel Madden:
Model-based Querying in Sensor Networks. Encyclopedia of Database Systems 2009: 1764-1768 - [i5]Jian Li, Barna Saha, Amol Deshpande:
A Unified Approach to Ranking in Probabilistic Databases. CoRR abs/0904.1366 (2009) - [i4]Jian Li, Amol Deshpande, Samir Khuller:
On Computing Compression Trees for Data Collection in Sensor Networks. CoRR abs/0907.5442 (2009) - 2008
- [j10]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Exploiting shared correlations in probabilistic databases. Proc. VLDB Endow. 1(1): 809-820 (2008) - [c27]Lidan Wang, Amol Deshpande:
Predictive Modeling-Based Data Collection in Wireless Sensor Networks. EWSN 2008: 34-51 - [c26]Xiaodan Wang, Randal C. Burns, Andreas Terzis, Amol Deshpande:
Network-Aware Join Processing in Global-Scale Database Federations. ICDE 2008: 586-595 - [c25]Amol Deshpande, Lisa Hellerstein:
Flow Algorithms for Parallel Query Optimization. ICDE 2008: 754-763 - [c24]Bhargav Kanagal, Amol Deshpande:
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data. ICDE 2008: 1160-1169 - [c23]Amol Deshpande, Samir Khuller, Azarakhsh Malekian, Mohammed Toossi:
Energy Efficient Monitoring in Sensor Networks. LATIN 2008: 436-448 - [i3]Anish Das Sarma, Amol Deshpande, Thomas Hubauer, Ihab F. Ilyas, Birgitta König-Ries, Matthias Renz, Martin Theobald:
08421 Working Group: Lineage/Provenance. Uncertainty Management in Information Systems 2008 - [i2]Anish Das Sarma, Ander de Keijzer, Amol Deshpande, Peter J. Haas, Ihab F. Ilyas, Christoph Koch, Thomas Neumann, Dan Olteanu, Martin Theobald, Vasilis Vassalos:
08421 Working Group: Classification, Representation and Modeling. Uncertainty Management in Information Systems 2008 - [i1]Jian Li, Amol Deshpande:
Consensus Answers for Queries over Probabilistic Databases. CoRR abs/0812.2049 (2008) - 2007
- [j9]Amol Deshpande, Zachary G. Ives, Vijayshankar Raman:
Adaptive Query Processing. Found. Trends Databases 1(1): 1-140 (2007) - [j8]Magdalena Balazinska, Amol Deshpande, Michael J. Franklin, Phillip B. Gibbons, Jim Gray, Mark H. Hansen, Michael Liebhold, Suman Nath, Alexander S. Szalay, Vincent Tao:
Data Management in the Worldwide Sensor Web. IEEE Pervasive Comput. 6(2): 30-40 (2007) - [j7]Magdalena Balazinska, Amol Deshpande, Alexandros Labrinidis, Qiong Luo, Samuel Madden, Jun Yang:
Report on the Fourth International Workshop on Data Management for Sensor Networks (DMSN 2007). SIGMOD Rec. 36(4): 53-55 (2007) - [c22]Hamid Haidarian Shahri, Galileo Namata, Saket Navlakha, Amol Deshpande, Nick Roussopoulos:
A graph-based approach to vehicle tracking in traffic camera video streams. DMSN 2007: 19-24 - [c21]Prithviraj Sen, Amol Deshpande:
Representing and Querying Correlated Tuples in Probabilistic Databases. ICDE 2007: 596-605 - [c20]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops 2007: 507-512 - [c19]Zachary G. Ives, Amol Deshpande, Vijayshankar Raman:
Adaptive query processing: Why, How, When, and What Next? VLDB 2007: 1426-1427 - [c18]Amol Deshpande, Sunita Sarawagi:
Probabilistic Graphical Models and their Role in Databases. VLDB 2007: 1435-1436 - [e1]Amol Deshpande, Qiong Luo:
Proceedings of the 4th Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2007, Vienna, Austria, September 24, 2007. ACM International Conference Proceeding Series 273, ACM 2007 [contents] - 2006
- [c17]David Chu, Amol Deshpande, Joseph M. Hellerstein, Wei Hong:
Approximate Data Collection in Sensor Networks using Probabilistic Models. ICDE 2006: 48 - [c16]Anne Condon, Amol Deshpande, Lisa Hellerstein, Ning Wu:
Flow algorithms for two pipelined filter ordering problems. PODS 2006: 193-202 - [c15]Amol Deshpande, Samuel Madden:
MauveDB: supporting model-based user views in database systems. SIGMOD Conference 2006: 73-84 - [c14]Amol Deshpande, Joseph M. Hellerstein, Vijayshankar Raman:
Adaptive query processing: why, how, when, what next. SIGMOD Conference 2006: 806-807 - 2005
- [j6]Amol Deshpande, Carlos Guestrin, Samuel Madden:
Resource-Aware Wireless Sensor-Actuator Networks. IEEE Data Eng. Bull. 28(1): 40-47 (2005) - [j5]Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong:
Model-based approximate querying in sensor networks. VLDB J. 14(4): 417-443 (2005) - [c13]Amol Deshpande, Carlos Guestrin, Samuel Madden:
Using Probabilistic Models for Data Management in Acquisitional Environments. CIDR 2005: 317-328 - [c12]Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel Madden:
Exploiting Correlated Attributes in Acquisitional Query Processing. ICDE 2005: 143-154 - 2004
- [j4]Amol Deshpande:
An initial study of overheads of eddies. SIGMOD Rec. 33(1): 44-49 (2004) - [c11]Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong:
Model-Driven Data Acquisition in Sensor Networks. VLDB 2004: 588-599 - [c10]Amol Deshpande, Joseph M. Hellerstein:
Lifting the Burden of History from Adaptive Query Processing. VLDB 2004: 948-959 - 2003
- [j3]Sailesh Krishnamurthy, Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Samuel Madden, Frederick Reiss, Mehul A. Shah:
TelegraphCQ: An Architectural Status Report. IEEE Data Eng. Bull. 26(1): 11-18 (2003) - [j2]Suman Nath, Amol Deshpande, Phillip B. Gibbons, Srinivasan Seshan:
MobiCom poster: mining a world of smart sensors. ACM SIGMOBILE Mob. Comput. Commun. Rev. 7(1): 34-36 (2003) - [c9]Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Vijayshankar Raman, Frederick Reiss, Mehul A. Shah:
TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. CIDR 2003 - [c8]Vijayshankar Raman, Amol Deshpande, Joseph M. Hellerstein:
Using State Modules for Adaptive Query Processing. ICDE 2003: 353-364 - [c7]Amol Deshpande, Suman Nath, Phillip B. Gibbons, Srinivasan Seshan:
Cache-and-Query for Wide Area Sensor Databases. SIGMOD Conference 2003: 503-514 - [c6]Amol Deshpande, Suman Nath, Phillip B. Gibbons, Srinivasan Seshan:
IrisNet: Internet-scale Resource-Intensive Sensor Services. SIGMOD Conference 2003: 667 - [c5]Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Frederick Reiss, Mehul A. Shah:
TelegraphCQ: Continuous Dataflow Processing. SIGMOD Conference 2003: 668 - [c4]Suman Nath, Amol Deshpande, Yan Ke, Phillip B. Gibbons, Brad Karp, Srinivasan Seshan:
IrisNet: An Architecture for Internet-scale Sensing Services. VLDB 2003: 1137-1140 - 2002
- [c3]Amol Deshpande, Joseph M. Hellerstein:
Decoupled Query Optimization for Federated Database Systems. ICDE 2002: 716-727 - 2001
- [c2]Amol Deshpande, Minos N. Garofalakis, Rajeev Rastogi:
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data. SIGMOD Conference 2001: 199-210 - [c1]Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan:
Efficient Stepwise Selection in Decomposable Models. UAI 2001: 128-135 - 2000
- [j1]Joseph M. Hellerstein, Michael J. Franklin, Sirish Chandrasekaran, Amol Deshpande, Kris Hildrum, Samuel Madden, Vijayshankar Raman, Mehul A. Shah:
Adaptive Query Processing: Technology in Evolution. IEEE Data Eng. Bull. 23(2): 7-18 (2000)
Coauthor Index
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