Tarique Siddiqui

Orcid: 0009-0002-0866-7275

Affiliations:
  • University of Illinois at Urbana Champaign, IL, USA


According to our database1, Tarique Siddiqui authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Sibyl: Forecasting Time-Evolving Query Workloads.
Proc. ACM Manag. Data, February, 2024

Wred: Workload Reduction for Scalable Index Tuning.
Proc. ACM Manag. Data, February, 2024

2023
ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges.
SIGMOD Rec., December, 2023

Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets.
Proc. VLDB Endow., December, 2023

2022
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning.
Proc. VLDB Endow., 2022

Expressive querying for accelerating visual analytics.
Commun. ACM, 2022

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Budget-aware Index Tuning with Reinforcement Learning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight.
SIGMOD Rec., 2021

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics.
Proc. VLDB Endow., 2021

2020
Towards expressive and scalable visual data exploration
PhD thesis, 2020

You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.
IEEE Trans. Vis. Comput. Graph., 2020

Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying.
Patterns, 2020

ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines.
Proceedings of the 2020 International Conference on Management of Data, 2020

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings.
Proceedings of the 2020 International Conference on Management of Data, 2020

2018
ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations.
Proc. VLDB Endow., 2018

Optimally Leveraging Density and Locality for Exploratory Browsing and Sampling.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

2017
Accelerating Scientific Data Exploration via Visual Query Systems.
CoRR, 2017

Fast-Forwarding to Desired Visualizations with Zenvisage.
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016
Towards Visualization Recommendation Systems.
SIGMOD Rec., 2016

Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System.
Proc. VLDB Endow., 2016

zenvisage: Effortless Visual Data Exploration.
CoRR, 2016

Speedy Browsing and Sampling with NeedleTail.
CoRR, 2016

FacetGist: Collective Extraction of Document Facets in Large Technical Corpora.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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