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Beyond the EULA: Improving consent for data mining

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

DOI

Standard

Beyond the EULA: Improving consent for data mining. / Hutton, Luke; Henderson, Tristan.

Transparent Data Mining for Big and Small Data. ed. / Tania Cerquitelli; Daniele Quercia; Frank Pasquale. Springer, 2017. p. 147-167 (Studies in Big Data; Vol. 11).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Harvard

Hutton, L & Henderson, T 2017, Beyond the EULA: Improving consent for data mining. in T Cerquitelli, D Quercia & F Pasquale (eds), Transparent Data Mining for Big and Small Data. Studies in Big Data, vol. 11, Springer, pp. 147-167. https://doi.org/10.1007/978-3-319-54024-5_7

APA

Hutton, L., & Henderson, T. (2017). Beyond the EULA: Improving consent for data mining. In T. Cerquitelli, D. Quercia, & F. Pasquale (Eds.), Transparent Data Mining for Big and Small Data (pp. 147-167). (Studies in Big Data; Vol. 11). Springer. https://doi.org/10.1007/978-3-319-54024-5_7

Vancouver

Hutton L, Henderson T. Beyond the EULA: Improving consent for data mining. In Cerquitelli T, Quercia D, Pasquale F, editors, Transparent Data Mining for Big and Small Data. Springer. 2017. p. 147-167. (Studies in Big Data). https://doi.org/10.1007/978-3-319-54024-5_7

Author

Hutton, Luke ; Henderson, Tristan. / Beyond the EULA: Improving consent for data mining. Transparent Data Mining for Big and Small Data. editor / Tania Cerquitelli ; Daniele Quercia ; Frank Pasquale. Springer, 2017. pp. 147-167 (Studies in Big Data).

Bibtex - Download

@inbook{749fcf795b4244959e633aeed2749896,
title = "Beyond the EULA: Improving consent for data mining",
author = "Luke Hutton and Tristan Henderson",
note = "This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/L021285/1].",
year = "2017",
month = jul,
day = "5",
doi = "10.1007/978-3-319-54024-5_7",
language = "English",
isbn = "9783319540238",
series = "Studies in Big Data",
publisher = "Springer",
pages = "147--167",
editor = "Tania Cerquitelli and Daniele Quercia and Frank Pasquale",
booktitle = "Transparent Data Mining for Big and Small Data",
address = "Netherlands",

}

RIS (suitable for import to EndNote) - Download

TY - CHAP

T1 - Beyond the EULA: Improving consent for data mining

AU - Hutton, Luke

AU - Henderson, Tristan

N1 - This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/L021285/1].

PY - 2017/7/5

Y1 - 2017/7/5

U2 - 10.1007/978-3-319-54024-5_7

DO - 10.1007/978-3-319-54024-5_7

M3 - Chapter (peer-reviewed)

SN - 9783319540238

T3 - Studies in Big Data

SP - 147

EP - 167

BT - Transparent Data Mining for Big and Small Data

A2 - Cerquitelli, Tania

A2 - Quercia, Daniele

A2 - Pasquale, Frank

PB - Springer

ER -

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ID: 248135346

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