International Journal of Crowd Science: Volume 2 Issue 2 , Open Access
This journal is now published by Tsinghua University Press
Table of contents
Application of biclustering algorithm to extract rules from labeled data
Zhang Yanjie, Sun HongboFor many pattern recognition problems, the relation between the sample vectors and the class labels are known during the data acquisition procedure. However, how to find the…
Quality-time-complexity universal intelligence measurement
Jing Liu, Zhiwen Pan, Jingce Xu, Bing Liang, Yiqiang Chen, Wen JiWith the development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more autonomous and smart. Therefore, there is a…
Missing observation approximation for spatio-temporal profile reconstruction in participatory sensor networks
Assad Mehmood, Kashif Zia, Arshad Muhammad, Dinesh Kumar SainiParticipatory wireless sensor networks (PWSN) is an emerging paradigm that leverages existing sensing and communication infrastructures for the sensing task. Various environmental…
Towards data-driven software engineering skills assessment
Jun Lin, Han Yu, Zhengxiang Pan, Zhiqi Shen, Lizhen CuiToday’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice require team members to possess not only…
A scientometric analysis of e-participation research
Tuotuo Qi, Tianmei Wang, Yanlin Ma, Wei Zhang, Yanchun ZhuDue to the increasing demand for public services, as a new form of public governance, e-participation has emerged. Scholars from various disciplines have published plenty of…
Negative externalities in the sharing economy: sources, paths and recommendations
Wenjun Jing, Baowen SunThis paper aims to clarify the complex path of negative externalities in the sharing economy and proposes corresponding policy recommendations.
Anomaly data management and big data analytics: an application on disability datasets
Zhiwen Pan, Wen Ji, Yiqiang Chen, Lianjun Dai, Jun ZhangThe disability datasets are the datasets that contain the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can…
ISSN:
2398-7294Online date, start – end:
2017 – 2021Journal’s owner:
SciOpen(opens new window)Editors:
- Yueting Chai
- Chunyan Miao
- Cyril Leung