Query Morphing: A Proximity-Based Data Exploration for Query Reformulation

Computational Intelligence: Theories, Applications and Future Directions - Volume I - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-13-1132-1_20 ◽

2018 ◽

pp. 247-259

Author(s):

Jay Patel ◽

Vikram Singh

Keyword(s):

Data Exploration ◽

Query Reformulation

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Query Morphing: A Proximity-Based Approach for Data Exploration and Query Reformulation

Mining Intelligence and Knowledge Exploration - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71928-3_26 ◽

2017 ◽

pp. 261-273 ◽

Author(s):

Jay Patel ◽

Vikram Singh

Keyword(s):

Data Exploration ◽

Query Reformulation

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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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Improving Query Reformulation in Voice Search System

Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval - CHIIR '16 ◽

10.1145/2854946.2854951 ◽

2016 ◽

Author(s):

Ning Sa

Keyword(s):

Query Reformulation ◽

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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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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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A novel approach to automatic query reformulation for IR-based bug localization

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing - SAC '19 ◽

10.1145/3297280.3297451 ◽

2019 ◽

Author(s):

Misoo Kim ◽

Eunseok Lee

Keyword(s):

Query Reformulation ◽

Bug Localization ◽

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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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A Question-Oriented Visualization Recommendation Approach for Data Exploration

Proceedings of the International Conference on Advanced Visual Interfaces ◽

10.1145/3399715.3399849 ◽

2020 ◽

Author(s):

Raul de Araújo Lima ◽

Simone Diniz Junqueira Barbosa

Keyword(s):

Data Exploration

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