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Finance mining – analysis of stock market exchange for foreign using classification techniques.
| Content Provider | CiteSeerX |
|---|---|
| Author | Someswar, G. Manoj Satheesh, B. Vivekan, G. |
| Abstract | Abstract – Data Mining is a Business intelligence technique, which the finance model is considered to hardest way to make easy money. Mining certainly motivated by the prospect of discovering a financial issue such as buying/selling for stock/contract analysis. However the survey designs a successful model poses many challenges includes securing and cleaning data acquiring a sufficient amount of financial domain knowledge bounding the complexity. This work describes the modern finance finding efficient way to summarize and visualize the stock market data to give individuals useful information about the behavior for investment market decision and the data mining classification for stock markets. Our proposed analysis reveals progressive applications in addition to existing analysis trading technique using data mining or genetic algorithms for exchange of foreign rates. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Stock Market Exchange Foreign Using Classification Technique Finance Mining Analysis Stock Contract Analysis Business Intelligence Technique Many Challenge Data Mining Analysis Trading Technique Cleaning Data Foreign Rate Successful Model Analysis Reveals Modern Finance Finance Model Financial Domain Knowledge Financial Issue Sufficient Amount Genetic Algorithm Data Mining Classification Efficient Way Stock Market Data Easy Money Stock Market Investment Market Decision Individual Useful Information Abstract Data Mining |
| Content Type | Text |