1. Wuthrich B, Permunetilleke D, Leung S, Cho V, Zhang J, Lam W (1998) Daily prediction of major stock indices from textual www data. In: Proceedings of the 4th international conference on knowledge discovery data mining (KDD)
2. Dorogush AV, Ershov V, Gulin A (2014) CatBoost: gradient boosting with categorical features support. arXiv:1810.11363
3. MacQueen JB (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley symposium on mathematical statistics and probability
4. Jin F, Self N, Saraf P, Butler P, Wang W, Ramakrishnan N (2013) Forex-foreteller: Currency trend modeling using news articles. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery data mining (KDD). ACM, New York, NY, USA
5. Kanungsukkasem N, Leelanupab T (2001) Financial latent dirichlet allocation (FinLDA): feature extraction in text and data mining for financial time series prediction. In: Proceedings of the 14th international conference on neural information processing systems natural and synthetic (NIPS). Cambridge, MA, USA: MIT Press, pp 601–608. http://dl.acm.org/citation.cfm?id=2980539.2980618