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This paper presents an efficient approach for Document Classification based on FDCKE. The paper introduces a new Framework for Document Classification and Knowledge Extraction (FDCKE). The FDCKE approach is an integration of document classification phases like document collection from heterogeneous sources, Text Pre-processing of the documents, Feature Selection, Indexing, Classification Process,...
Predicting stocks accurately has always intrigued the market analysts. A possible forecast of stocks is done using trading parameters and Price/Earnings ratio. With the advances in Artificial Neural Networks, it has become possible to analyze a data set in temporal domain. The use of Time Series Forecasting empowers us to predict the value of an entity in the future based on the previously obtained...
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