When making predictions about an uncertain event, the individual’s ability is always limited and biased. Therefore, in order to predict the outcome of the event, it is necessary to collect prediction data from different individuals to make predictions. The aggregated results of individuals are always better than most individuals, and the performance of the group is called group wisdom. However, due to information technology and space constraints, the data collects is limited under normal circumstances, time-consuming and costly, and the group’s ability to predict is limited. In big data era today, we can collect massive amounts of data that meet the forecasting requirements more quickly, aggregate these data, and through certain data proces...
Social media provide an impressive amount of data about users and their interactions, thereby offeri...
We review and integrate the extant knowledge on group-based forecasting, paying particular attention...
Financial analysis is a topic of interest for both academic research and businesses. Financial analy...
Crowd predictions in the domain of stock-price forecasting is a fascinating concept. Several special...
Has the rise of data-intensive science, or ‘big data’, revolutionized our ability to predict? Does i...
People’s self-reported beliefs, judgments and experiences are highly subjective and can be unreliabl...
Crowd predictions in the domain of stock-price forecasting is a fascinating concept. Several special...
In forecasting, data mining is frequently perceived as a distinct technological discipline without i...
Griffiths and Tenenbaum (2006) asked individuals to make predictions about the duration or extent of...
types: ArticleArticle published in open-access journal, Judgment and Decision Making, vol. 8(2), pp....
In the digital era like today the growth of data in the database is very rapid, all things related t...
We review and integrate the extant knowledge on group-based forecasting, paying particular attention...
The wisdom of crowds is an idea that could be a valuable resource if it is used, and even more valua...
© 2018 Geoffrey SawIn traditional studies into the wisdom of the crowd - for example the study by Ga...
Knowledge management plays an important role in disseminating valuable information. Knowledge creati...
Social media provide an impressive amount of data about users and their interactions, thereby offeri...
We review and integrate the extant knowledge on group-based forecasting, paying particular attention...
Financial analysis is a topic of interest for both academic research and businesses. Financial analy...
Crowd predictions in the domain of stock-price forecasting is a fascinating concept. Several special...
Has the rise of data-intensive science, or ‘big data’, revolutionized our ability to predict? Does i...
People’s self-reported beliefs, judgments and experiences are highly subjective and can be unreliabl...
Crowd predictions in the domain of stock-price forecasting is a fascinating concept. Several special...
In forecasting, data mining is frequently perceived as a distinct technological discipline without i...
Griffiths and Tenenbaum (2006) asked individuals to make predictions about the duration or extent of...
types: ArticleArticle published in open-access journal, Judgment and Decision Making, vol. 8(2), pp....
In the digital era like today the growth of data in the database is very rapid, all things related t...
We review and integrate the extant knowledge on group-based forecasting, paying particular attention...
The wisdom of crowds is an idea that could be a valuable resource if it is used, and even more valua...
© 2018 Geoffrey SawIn traditional studies into the wisdom of the crowd - for example the study by Ga...
Knowledge management plays an important role in disseminating valuable information. Knowledge creati...
Social media provide an impressive amount of data about users and their interactions, thereby offeri...
We review and integrate the extant knowledge on group-based forecasting, paying particular attention...
Financial analysis is a topic of interest for both academic research and businesses. Financial analy...