Crowd-squared : amplifying the predictive power of search trend data
Year of publication: |
December 2016
|
---|---|
Authors: | Brynjolfsson, Erik ; Geva, Tomer ; Reichman, Shachar |
Published in: |
Management information systems : mis quarterly. - Minneapolis, MN : Carlson School of Management, University of Minnesota, ISSN 0276-7783, ZDB-ID 405089-7. - Vol. 40.2016, 4, p. 941-961
|
Subject: | Prediction | big data | search trends | data selection | crowdsourcing | Big Data | Big data | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Crowdsourcing | Data Mining | Data mining |
-
Predicting hotel demand using destination marketing organization's web traffic data
Yang, Yang, (2014)
-
Forecasting destination weekly hotel occupancy with big data
Pan, Bing, (2017)
-
Temporal big data for tactical sales forecasting in the tire industry
Sagaert, Yves R., (2018)
- More ...
-
Crowd-Squared : Amplifying the Predictive Power of Search Trend Data
Brynjolfsson, Erik, (2020)
-
Tenure analytics : models for predicting research impact
Bertsimas, Dimitris, (2015)
-
Moneyball for Academics : Network Analysis for Predicting Research Impact
Bertsimas, Dimitris, (2018)
- More ...