Toward Approximate Analytics - Approximate Query Engines & Approximate Data Exploration

Proceedings of The 6th IIAE International Conference on Industrial Application Engineering 2018 ◽

10.12792/iciae2018.001 ◽

2018 ◽

Author(s):

Dominik Slezak

Keyword(s):

Data Exploration ◽

Approximate Query

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Approximate Query Processing for Data Exploration using Deep Generative Models

2020 IEEE 36th International Conference on Data Engineering (ICDE) ◽

10.1109/icde48307.2020.00117 ◽

2020 ◽

Cited By ~ 1

Author(s):

Saravanan Thirumuruganathan ◽

Shohedul Hasan ◽

Nick Koudas ◽

Gautam Das

Keyword(s):

Query Processing ◽

Generative Models ◽

Data Exploration ◽

Approximate Query Processing ◽

Approximate Query

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Monotone Approximate Query Processing

10.21236/ada267153 ◽

1992 ◽

Author(s):

Jane Liu

Keyword(s):

Query Processing ◽

Approximate Query Processing ◽

Approximate Query

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Unsupervised Prototype Reduction for Data Exploration and An Application to Air Traffic Management Initiatives

SSRN Electronic Journal ◽

10.2139/ssrn.3067091 ◽

2017 ◽

Author(s):

Alexander Estes ◽

David Lovell ◽

Michael O. Ball

Keyword(s):

Traffic Management ◽

Air Traffic Management ◽

Air Traffic ◽

Data Exploration ◽

Prototype Reduction

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Exploiting Blockchain and Smart Contracts for Data Exploration As a Service

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services ◽

10.1145/3366030.3366075 ◽

2019 ◽

Author(s):

Ada Bagozi ◽

Devis Bianchini ◽

Valeria De Antonellis ◽

Massimiliano Garda ◽

Michele Melchiori

Keyword(s):

Data Exploration ◽

Smart Contracts

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Corpus Processing Service: A Knowledge Graph Platform to perform deep data exploration on corpora

Applied AI Letters ◽

10.1002/ail2.20 ◽

2020 ◽

Author(s):

Peter W J Staar ◽

Michele Dolfi ◽

Christoph Auer

Keyword(s):

Data Exploration ◽

Knowledge Graph ◽

Processing Service

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On the complexity of approximate query optimization

Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems - PODS '02 ◽

10.1145/543613.543650 ◽

2002 ◽

Cited By ~ 5

Author(s):

S. Chatterji ◽

S. S. K. Evani ◽

S. Ganguly ◽

M. D. Yemmanuru

Keyword(s):

Query Optimization ◽

Approximate Query

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ExNav: An Interactive Big Data Exploration Framework for Big Unstructured Data

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9377741 ◽

2020 ◽

Author(s):

Xiaoyu Ge ◽

Xiaozhong Zhang ◽

Panos K. Chrysanthis

Keyword(s):

Big Data ◽

Data Exploration ◽

Unstructured Data

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VisSnippets: A Web-Based System for Impromptu Collaborative Data Exploration on Large Displays

Practice and Experience in Advanced Research Computing ◽

10.1145/3311790.3396666 ◽

2020 ◽

Author(s):

Andrew Burks ◽

Luc Renambot ◽

Andrew Johnson

Keyword(s):

Data Exploration ◽

Web Based ◽

Large Displays ◽

Web Based System

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Approximate Query Processing for Big Data in Heterogeneous Databases

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9378310 ◽

2020 ◽

Author(s):

Manoj Muniswamaiah ◽

Tilak Agerwala ◽

Charles C. Tappert

Keyword(s):

Big Data ◽

Query Processing ◽

Heterogeneous Databases ◽

Approximate Query Processing ◽

Approximate Query

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Corrigendum to “A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews” [J. Bus. Res. 125 (2021) 354–367]

Journal of Business Research ◽

10.1016/j.jbusres.2021.05.042 ◽

2021 ◽

Vol 134 ◽

pp. 104

Author(s):

Stephanie Meek ◽

Claire Lambert ◽

Violetta Wilk

Keyword(s):

Big Data ◽

Data Exploration ◽

Restaurant Reviews ◽

Normative Influences

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