Indian Stock Market Analysis Using CHAID Regression Tree
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-3223-3_52
Reference18 articles.
1. Abdullah, S.S., Rahaman, M.S., Rahman, M.S.: Analysis of stock market using text mining and natural language processing. In: 2013 International Conference on Informatics, Electronics and Vision (ICIEV), pp. 1–6. IEEE (2013)
2. Babu, C.N., Reddy, B.E.: Selected Indian stock predictions using a hybrid ARIMA-GARCH model. In: 2014 International Conference on Advances in Electronics, Computers and Communications (ICAECC), pp. 1–6. IEEE (2014)
3. Bebarta, D.K., Biswal, B., Rout, A.K., Dash, P.K.: Forecasting and classification of Indian stocks using different polynomial functional link artificial neural networks. In: 2012 Annual IEEE India Conference (INDICON), pp. 178–182. IEEE (2012)
4. Fonseka, C., Liyanage, L.: A Data mining algorithm to analyse stock market data using lagged correlation. In: ICIAFS 2008. 4th International Conference on Information and Automation for Sustainability, 2008, pp. 163–166. IEEE (2008)
5. Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. Elsevier (2011)
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