On the Suitability of Skyline Queries for Data Exploration

Sean Chester; Michael Lind Mortensen; Ira Assent

On the Suitability of Skyline Queries for Data Exploration

Sean Chester, Michael Lind Mortensen, Ira Assent

Institut for Datalogi

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

5 Citationer (Scopus)

Abstract

The skyline operator has been studied in database research for multi-criteria decision making. Until now the focus has been on the efficiency or accuracy of single queries. In practice, however, users are increasingly confronted with unknown data collections, where precise query formulation proves difficult. Instead, users explore the data in a sequence of incrementally changing queries to the data to match their understanding of the data and task. In this work, we study the skyline operator as a tool in such exploratory querying both analytically and empirically. We show how its results evolve as users modify their queries, and suggest using our findings to guide users in formulating reasonable queries.

Originalsprog	Engelsk
Titel	Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference : 1st International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014)
Redaktører	K. Selcuk Candan et al.
Antal sider	6
Forlag	CEUR-WS.org
Publikationsdato	2014
Sider	161-166
Status	Udgivet - 2014
Begivenhed	International Workshop on Exploratory Search in Databases and the Web - Athens, Grækenland Varighed: 28 mar. 2014 → 28 mar. 2014 Konferencens nummer: 1

Workshop

Workshop	International Workshop on Exploratory Search in Databases and the Web
Nummer	1
Land/Område	Grækenland
By	Athens
Periode	28/03/2014 → 28/03/2014

Navn	CEUR Workshop Proceedings
ISSN	1613-0073

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Fuld tekst

WallViz: Improving decision making from massive data collections using wall-sized, highly interactive visualizations
Assent, I. (Deltager), Mortensen, M. L. (Deltager), Magnani, M. (Deltager) & Bøgh, K. (Deltager)
01/04/2011 → …
Projekter: Projekt › Forskning

International Workshop on Exploratory Search in Databases and the Web
Chester, S. (Taler)
28 mar. 2014
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Deltagelse i eller organisering af workshop, seminar eller kursus

Citationsformater

@inproceedings{15f6ea0ee84549eca78f71e0a210f0f2,

title = "On the Suitability of Skyline Queries for Data Exploration",

abstract = "The skyline operator has been studied in database research for multi-criteria decision making. Until now the focus has been on the efficiency or accuracy of single queries. In practice, however, users are increasingly confronted with unknown data collections, where precise query formulation proves difficult. Instead, users explore the data in a sequence of incrementally changing queries to the data to match their understanding of the data and task. In this work, we study the skyline operator as a tool in such exploratory querying both analytically and empirically. We show how its results evolve as users modify their queries, and suggest using our findings to guide users in formulating reasonable queries.",

keywords = "skyline, exploratory data analysis, Databases",

author = "Sean Chester and Mortensen, {Michael Lind} and Ira Assent",

note = "Workshop held in conjunction with 17th International Conference on Extending Database Technology (EDBT 2014); 1st International Workshop on Exploratory Search in Databases and the Web, ExploreDB ; Conference date: 28-03-2014 Through 28-03-2014",

year = "2014",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "161--166",

editor = "{Candan et al.}, {K. Selcuk }",

booktitle = "Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference",

}

Chester, S, Mortensen, ML & Assent, I 2014, On the Suitability of Skyline Queries for Data Exploration. i KS Candan et al. (red.), Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference: 1st International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014). CEUR-WS.org, CEUR Workshop Proceedings, s. 161-166, International Workshop on Exploratory Search in Databases and the Web, Athens, Grækenland, 28/03/2014. <http://ceur-ws.org/Vol-1133/paper-27.pdf>

On the Suitability of Skyline Queries for Data Exploration. / Chester, Sean; Mortensen, Michael Lind; Assent, Ira.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference: 1st International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014). red. / K. Selcuk Candan et al. CEUR-WS.org, 2014. s. 161-166 (CEUR Workshop Proceedings).

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

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T1 - On the Suitability of Skyline Queries for Data Exploration

AU - Chester, Sean

AU - Mortensen, Michael Lind

AU - Assent, Ira

N1 - Conference code: 1

PY - 2014

Y1 - 2014

N2 - The skyline operator has been studied in database research for multi-criteria decision making. Until now the focus has been on the efficiency or accuracy of single queries. In practice, however, users are increasingly confronted with unknown data collections, where precise query formulation proves difficult. Instead, users explore the data in a sequence of incrementally changing queries to the data to match their understanding of the data and task. In this work, we study the skyline operator as a tool in such exploratory querying both analytically and empirically. We show how its results evolve as users modify their queries, and suggest using our findings to guide users in formulating reasonable queries.

AB - The skyline operator has been studied in database research for multi-criteria decision making. Until now the focus has been on the efficiency or accuracy of single queries. In practice, however, users are increasingly confronted with unknown data collections, where precise query formulation proves difficult. Instead, users explore the data in a sequence of incrementally changing queries to the data to match their understanding of the data and task. In this work, we study the skyline operator as a tool in such exploratory querying both analytically and empirically. We show how its results evolve as users modify their queries, and suggest using our findings to guide users in formulating reasonable queries.

KW - skyline

KW - exploratory data analysis

KW - Databases

M3 - Article in proceedings

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BT - Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference

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ER -

On the Suitability of Skyline Queries for Data Exploration

Abstract

Workshop

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Fingeraftryk

Projekter

WallViz: Improving decision making from massive data collections using wall-sized, highly interactive visualizations

Aktiviteter

International Workshop on Exploratory Search in Databases and the Web

Citationsformater