Strategies for truth discovery under resource constraints

Name: Strategies for truth discovery under resource constraints
Author: Etuk, A., Norman, T. J., Oren, N., Şensoy, Murat

İsim	Strategies for truth discovery under resource constraints
Yazar	Etuk, A., Norman, T. J., Oren, N., Şensoy, Murat
Basım Tarihi:	2015
Basım Yeri	- ACM
Konu	Trust, Truth discovery, Diversity, Sampling
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	15488403
Kayıt Numarası	72c81d71-9679-48a1-8141-4ae093acadaf
Lokasyon	Computer Science
Tarih	2015
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.
Cilt	3

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Strategies for truth discovery under resource constraints

Yazar Etuk, A., Norman, T. J., Oren, N., Şensoy, Murat

Basım Tarihi 2015

Basım Yeri - ACM

Konu Trust, Truth discovery, Diversity, Sampling

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 15488403

Kayıt Numarası 72c81d71-9679-48a1-8141-4ae093acadaf

Lokasyon Computer Science

Tarih 2015

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.

Cilt 3