Title :
Data mining techniques to analyze the risks in stocks/options investment
Author :
Surendran, Anupama
Author_Institution :
Dept of Comput. Sci., Cochin Univ. of Sci. & Technol., Cochin, India
Abstract :
Data mining is one of the most optimal methods to analyze the data. Nowadays most of the people will be reluctant to invest money in shares and options because of the global economic crisis. In this research paper, a proposal is made in order to analyze the stocks/sectors and options based on various financial parameters using data mining techniques. The neuro-fuzzy logic technique is proposed to use in this proposal, to develop this work and the mining technique is applied to classify the result obtained.
Keywords :
data mining; fuzzy logic; fuzzy neural nets; investment; learning (artificial intelligence); risk analysis; data mining techniques; global economic crisis; neuro-fuzzy logic technique; risk analysis; stocks-options investment; Computer science; Data analysis; Data mining; Fuzzy logic; Information retrieval; Investments; Neural networks; Performance analysis; Proposals; Risk analysis; DPS; Data mining; EPS; Neuro-Fuzzy logic; Options;
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
DOI :
10.1109/IAMA.2009.5228043
