Paper Title :Stock Market Prediction using KMP Algorithm for Fast News Search and Effective Data Mining Methods
Author :Faten Alzazah
Article Citation :Faten Alzazah ,
(2018 ) " Stock Market Prediction using KMP Algorithm for Fast News Search and Effective Data Mining Methods " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 63-68,
Volume-4,Issue-2
Abstract : Before evolution of text mining techniques, data mining and statistical techniques were used to predict the stock
movement based only on past prices, their weakness is that they depend heavily on structured data .Which neglects the
important influence of unstructured information .In this paper, we will use the most important data mining techniques using
Exponential smoothing and Linear Trend Line concurrently with text mining using fast String matching algorithm( KMP
algorithm) for stock market prediction.
Keywords- KMP Algorithm, News Articles search, Data Mining, Exponential Smoothing, Linear Trend Line, Stock Market
Prediction.
Type : Research paper
Published : Volume-4,Issue-2
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-10939
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Copyright: © Institute of Research and Journals
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Published on 2018-04-05 |
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