International Journal of Management and Applied Science (IJMAS)
current issues
Volume-4,Issue-2  ( Feb, 2018 )
Statistics report
Apr. 2018
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 48
Paper Published : 2598
No. of Authors : 5405
  Journal Paper




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

Indexed : Google Scholar


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