Passive ans Active Observation: Experimental Design Issues in Big Data

12/19/2017
by   Elena Pesce, et al.
0

Data can be collected in scientific studies via a controlled experiment or passive observation. Big data is often collected in a passive way, e.g. from social media. Understanding the difference between active and passive observation is critical to the analysis. For example in studies of causation great efforts are made to guard against hidden confounders or feedback which can destroy the identification of causation by corrupting or omitting counterfactuals (controls). Various solutions of these problems are discussed, including randomization.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/19/2017

Passive and Active Observation: Experimental Design Issues in Big Data

Data can be collected in scientific studies via a controlled experiment ...
research
12/19/2017

Passive ans Active Observation: Experimetal Design Issues in Big Data

Data can be collected in scientific studies via a controlled experiment ...
research
09/10/2020

Subscribing to Big Data at Scale

Today, data is being actively generated by a variety of devices, service...
research
09/30/2016

Social Computing for Mobile Big Data in Wireless Networks

Mobile big data contains vast statistical features in various dimensions...
research
12/22/2020

Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data

Information about the spatiotemporal flow of humans within an urban cont...
research
04/11/2022

Active and Passive Collection of SSH key material for cyber threat intelligence

This paper describes a system for storing historical forensic artefacts ...
research
05/19/2022

Disentangling Active and Passive Cosponsorship in the U.S. Congress

In the U.S. Congress, legislators can use active and passive cosponsorsh...

Please sign up or login with your details

Forgot password? Click here to reset