Amol Deshpande

According to our database1, Amol Deshpande
  • authored at least 133 papers between 2000 and 2018.
  • has a "Dijkstra number"2 of three.

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Bibliography

2018
RStore: A Distributed Multi-version Document Store.
CoRR, 2018

2017
Big Graph Analytics Platforms.
Foundations and Trends in Databases, 2017

Extracting and Analyzing Hidden Graphs from Relational Databases.
CoRR, 2017

Extracting and Analyzing Hidden Graphs from Relational Databases.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

ProvDB: Lifecycle Management of Collaborative Analysis Workflows.
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

DEX: Query Execution in a Delta-based Storage System.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent Delivery Campaigns.
Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Parallel SPARQL Query Optimization.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

ModelHub: Deep Learning Lifecycle Management.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Towards Unified Data and Lifecycle Management for Deep Learning.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

GraphGen: Adaptive Graph Processing using Relational Databases.
Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems, 2017

RStore: efficient multiversion document management in the cloud.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016
NScale: neighborhood-centric large-scale graph analytics in the cloud.
VLDB J., 2016

Approximation Algorithms for Stochastic Submodular Set Cover with Applications to Boolean Function Evaluation and Min-Knapsack.
ACM Trans. Algorithms, 2016

Decibel: The Relational Dataset Branching System.
PVLDB, 2016

ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning.
CoRR, 2016

ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows.
CoRR, 2016

Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent Delivery Campaigns.
CoRR, 2016

Big Graph Analytics Systems.
Proceedings of the 2016 International Conference on Management of Data, 2016

SourceSight: Enabling Effective Source Selection.
Proceedings of the 2016 International Conference on Management of Data, 2016

NScaleSpark: subgraph-centric graph analytics on Apache Spark.
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 2016

Storing and Analyzing Historical Graph Data at Scale.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

CASQD: continuous detection of activity-based subgraph pattern queries on dynamic graphs.
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016

2015
GraphGen: Exploring Interesting Graphs in Relational Data.
PVLDB, 2015

Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff.
PVLDB, 2015

Collaborative Data Analytics with DataHub.
PVLDB, 2015

CrowdGather: Entity Extraction over Structured Domains.
CoRR, 2015

Storing and Analyzing Historical Graph Data at Scale.
CoRR, 2015

Towards a unified query language for provenance and versioning.
CoRR, 2015

Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff.
CoRR, 2015

Towards a Unified Query Language for Provenance and Versioning.
Proceedings of the 7th USENIX Workshop on the Theory and Practice of Provenance, 2015

DataHub: Collaborative Data Science & Dataset Version Management at Scale.
Proceedings of the CIDR 2015, 2015

2014
Stream Querying and Reasoning on Social Data.
Encyclopedia of Social Network Analysis and Mining, 2014

SWORD: workload-aware data placement and replica selection for cloud data management systems.
VLDB J., 2014

NScale: Neighborhood-centric Analytics on Large Graphs.
PVLDB, 2014

VERTEXICA: Your Relational Friend for Graph Analytics!
PVLDB, 2014

NScale: Neighborhood-centric Large-Scale Graph Analytics in the Cloud.
CoRR, 2014

EAGr: Supporting Continuous Ego-centric Aggregate Queries over Large Dynamic Graphs.
CoRR, 2014

DataHub: Collaborative Data Science & Dataset Version Management at Scale.
CoRR, 2014

PStore: an efficient storage framework for managing scientific data.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Approximation Algorithms for Stochastic Boolean Function Evaluation and Stochastic Submodular Set Cover.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs.
Proceedings of the International Conference on Management of Data, 2014

Subgraph pattern matching over uncertain graphs with identity linkage uncertainty.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Optimization Techniques for "Scaling Down" Hadoop on Multi-Core, Shared-Memory Systems.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
Efficiently adapting graphical models for selectivity estimation.
VLDB J., 2013

A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries.
PVLDB, 2013

Hone: "Scaling Down" Hadoop on Shared-Memory Systems.
PVLDB, 2013

Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty
CoRR, 2013

Approximation Algorithms for Stochastic Boolean Function Evaluation and Stochastic Submodular Set Cover
CoRR, 2013

On Sharing Private Data with Multiple Non-Colluding Adversaries
CoRR, 2013

Data Placement and Replica Selection for Improving Co-location in Distributed Environments
CoRR, 2013

Efficient Stepwise Selection in Decomposable Models
CoRR, 2013

GRDB: a system for declarative and interactive analysis of noisy information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

HiNGE: enabling temporal network analytics at scale.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Algorithms for the Thermal Scheduling Problem.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

An Integer Programming Approach to Temporal Pattern Matching Queries.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Efficient snapshot retrieval over historical graph data.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

SWORD: scalable workload-aware data placement for transactional workloads.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012
A Temporal Pattern Search Algorithm for Personal History Event Visualization.
IEEE Trans. Knowl. Data Eng., 2012

Parallel pipelined filter ordering with precedence constraints.
ACM Trans. Algorithms, 2012

Efficient Snapshot Retrieval over Historical Graph Data
CoRR, 2012

Bisimulation-based Approximate Lifted Inference
CoRR, 2012

Spectrum access policy reasoning for policy-based cognitive radios.
Computer Networks, 2012

Local structure and determinism in probabilistic databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Managing large dynamic graphs efficiently.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Saving on cooling: the thermal scheduling problem.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Ego-centric Graph Pattern Census.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
A unified approach to ranking in probabilistic databases.
VLDB J., 2011

Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions.
PVLDB, 2011

Energy Efficient Monitoring in Sensor Networks.
Algorithmica, 2011

Sensitivity analysis and explanations for robust query evaluation in probabilistic databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Declarative analysis of noisy information networks.
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems.
Proceedings of the IEEE 52nd Annual Symposium on Foundations of Computer Science, 2011

2010
Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing.
PVLDB, 2010

Read-Once Functions and Query Evaluation in Probabilistic Databases.
PVLDB, 2010

Ranking Continuous Probabilistic Datasets.
PVLDB, 2010

Utility Maximization under Uncertainty
CoRR, 2010

Lineage processing over correlated probabilistic databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

On Computing Compression Trees for Data Collection in Wireless Sensor Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Increasing representational power and scaling reasoning in probabilistic databases.
Proceedings of the Database Theory, 2010

2009
Model-based Querying in Sensor Networks.
Proceedings of the Encyclopedia of Database Systems, 2009

Data Compression in Sensor Networks.
Proceedings of the Encyclopedia of Database Systems, 2009

PrDB: managing and exploiting rich correlations in probabilistic databases.
VLDB J., 2009

Algorithms for distributional and adversarial pipelined filter ordering problems.
ACM Trans. Algorithms, 2009

A Unified Approach to Ranking in Probabilistic Databases.
PVLDB, 2009

On Computing Compression Trees for Data Collection in Sensor Networks
CoRR, 2009

A Unified Approach to Ranking in Probabilistic Databases
CoRR, 2009

Bisimulation-based Approximate Lifted Inference.
Proceedings of the UAI 2009, 2009

PrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract).
Proceedings of the Scalable Uncertainty Management, Third International Conference, 2009

Indexing correlated probabilistic databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Consensus answers for queries over probabilistic databases.
Proceedings of the Twenty-Eigth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2009

Minimizing Communication Cost in Distributed Multi-query Processing.
Proceedings of the 25th International Conference on Data Engineering, 2009

Efficient Query Evaluation over Temporally Correlated Probabilistic Streams.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Exploiting shared correlations in probabilistic databases.
PVLDB, 2008

Consensus Answers for Queries over Probabilistic Databases
CoRR, 2008

Energy Efficient Monitoring in Sensor Networks.
Proceedings of the LATIN 2008: Theoretical Informatics, 2008

Network-Aware Join Processing in Global-Scale Database Federations.
Proceedings of the 24th International Conference on Data Engineering, 2008

Online Filtering, Smoothing and Probabilistic Modeling of Streaming data.
Proceedings of the 24th International Conference on Data Engineering, 2008

Flow Algorithms for Parallel Query Optimization.
Proceedings of the 24th International Conference on Data Engineering, 2008

Predictive Modeling-Based Data Collection in Wireless Sensor Networks.
Proceedings of the Wireless Sensor Networks, 5th European Conference, 2008

08421 Working Group: Classification, Representation and Modeling.
Proceedings of the Uncertainty Management in Information Systems, 12.10. - 17.10.2008, 2008

08421 Working Group: Lineage/Provenance.
Proceedings of the Uncertainty Management in Information Systems, 12.10. - 17.10.2008, 2008

2007
Report on the Fourth International Workshop on Data Management for Sensor Networks (DMSN 2007).
SIGMOD Record, 2007

Data Management in the Worldwide Sensor Web.
IEEE Pervasive Computing, 2007

Adaptive Query Processing.
Foundations and Trends in Databases, 2007

Adaptive query processing: Why, How, When, and What Next?
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Probabilistic Graphical Models and their Role in Databases.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Representing Tuple and Attribute Uncertainty in Probabilistic Databases.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Representing and Querying Correlated Tuples in Probabilistic Databases.
Proceedings of the 23rd International Conference on Data Engineering, 2007

A graph-based approach to vehicle tracking in traffic camera video streams.
Proceedings of the 4th Workshop on Data Management for Sensor Networks, 2007

2006
MauveDB: supporting model-based user views in database systems.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Adaptive query processing: why, how, when, what next.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Flow algorithms for two pipelined filter ordering problems.
Proceedings of the Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2006

Approximate Data Collection in Sensor Networks using Probabilistic Models.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Model-based approximate querying in sensor networks.
VLDB J., 2005

Resource-Aware Wireless Sensor-Actuator Networks.
IEEE Data Eng. Bull., 2005

Exploiting Correlated Attributes in Acquisitional Query Processing.
Proceedings of the 21st International Conference on Data Engineering, 2005

Using Probabilistic Models for Data Management in Acquisitional Environments.
Proceedings of the CIDR 2005, 2005

2004
An initial study of overheads of eddies.
SIGMOD Record, 2004

Lifting the Burden of History from Adaptive Query Processing.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

Model-Driven Data Acquisition in Sensor Networks.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

2003
MobiCom poster: mining a world of smart sensors.
Mobile Computing and Communications Review, 2003

TelegraphCQ: An Architectural Status Report.
IEEE Data Eng. Bull., 2003

IrisNet: An Architecture for Internet-scale Sensing Services.
Proceedings of the VLDB 2003, 2003

IrisNet: Internet-scale Resource-Intensive Sensor Services.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

Cache-and-Query for Wide Area Sensor Databases.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

TelegraphCQ: Continuous Dataflow Processing.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

Using State Modules for Adaptive Query Processing.
Proceedings of the 19th International Conference on Data Engineering, 2003

TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
Proceedings of the CIDR 2003, 2003

2002
Decoupled Query Optimization for Federated Database Systems.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

2001
Efficient Stepwise Selection in Decomposable Models.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

2000
Adaptive Query Processing: Technology in Evolution.
IEEE Data Eng. Bull., 2000


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