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New Trends on Exploratory Methods for Data Analytics

Summary: Tutorial on example-based exploratory querying: users provide result exemplars instead of complex declarative queries, enabling flexible, immediate data understanding. Surveys data-type-specific algorithms for relational, textual, and graph data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hf2e7900ed5a7ae49
Venue
VLDB
Year
2017
Pagerank
5.8123256e-05
Overall Rank
6,330 | 57.45%
DOI
10.14778/3137765.3137813

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mottin_vldb17,
        title = {{New Trends on Exploratory Methods for Data Analytics}},
        author = {Mottin, Davide and Lissandrini, Matteo and Velegrakis, Yannis and Palpanas, Themis},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1977--1980},
        doi = {10.14778/3137765.3137813},
        url = {https://doi.org/10.14778/3137765.3137813},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
4,497 Automating Exploratory Data Analysis via Machine Learning: An Overview 2020 SIGMOD 6.5763072e-05
6,162 Guided Exploration of User Groups 2020 VLDB 5.8644841e-05
6,431 X2Q: Your Personal Example-based Graph Explorer 2018 VLDB 5.7884926e-05
8,510 Exploring the Data Wilderness through Examples 2019 SIGMOD 5.326492e-05
9,868 A Flexible Framework for Query-oriented Interactive Community Search 2025 VLDB 5.1176637e-05
12,148 Data Pipelines for User Group Analytics 2019 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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