Predictive Analysis of Crowdfunding Projects
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5354-7_5
Reference20 articles.
1. Böckel A, Hörisch J, Tenner I (2021) A systematic literature review of crowdfunding and sustainability highlighting what really matters. Manage Rev Q 71:433–453.https://doi.org/10.1007/s11301-020-00189-3
2. Zhao L, Ryu S (2020) Reward-based crowdfunding research and practice. In: Shneor R, Zhao L, Flåten BT (eds) Advances in crowdfunding. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-46309-0_6
3. Ahmad FS, Tyagi D, Kaur S (2017) Predicting crowdfunding success with optimally weighted random forests. In: 2017 international conference on infocom technologies and unmanned systems (Trends and Future Directions) (ICTUS), pp 770–775. https://doi.org/10.1109/ICTUS.2017.8286110.10
4. Yu P, Huang F, Yang C, Liu Y, Li Z, Tsai C (2018) Prediction of crowdfunding project success with deep learning. In: 2018 IEEE 15th international conference one-business engineering (ICEBE), pp 1–8. https://doi.org/10.1109/ICEBE.2018.00012
5. Chen L, Shen E (2019) Finding the keywords affecting the success of crowdfunding projects. In: 2019 IEEE 6th international conference on industrial engineering and applications (ICIEA), pp 567–571. https://doi.org/10.1109/IEA.2019.8714815
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