A SURVEY ON DATA MINING CLASSIFICATION FEATURE SELECTION |
| Author : Isha Sachdeva |
| Abstract | Full Text |
Abstract :This investigation sums up the element determination measure, its significance, various kinds of highlight choice calculations, for example, Filter, Wrapper and Hybrid. Besides, it examinations a portion of the current mainstream highlight choice calculations through a writing overview and furthermore addresses the qualities and difficulties of those calculations |
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USING LSTM BASED RNN ON TIME SERIES DATA TO PREDICT STOCK INDEX VALUES AND CLASSIFY ASSET PRICE MOVEMENTS |
| Author : Lavaneesh Sharma |
| Abstract | Full Text |
Abstract :We propose designing and training RNNs for univariate time series data to forecast future values on S&P 500data. Firstly, time series data will be prepared, within a single LSTM layer framework that will help to predictstock index values. Secondly, we will build a deep RNN with three inputs to classify asset price movements.
Lastly, we will combine 2 layer, stacked LSTM with learned embedding’s and one-hot encoded categorical data. The paper also gives a brief overview of Recurrent Neural Networks and their popular architectures currently in use.
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CYBER WAR: THE FUTURE OF CONFLICTS! |
| Author : YASHVARDHAN KUMAR |
| Abstract | Full Text |
Abstract :From the Information Age to the sinister Disinformation Age it is supremely necessary to understand cyber warfare as there is high human dependency on advancing information technology with the use of computer infiltrations and cyber-attacks as the internet has proved to be comprehensively untrustworthy due to the transformation of the industry. This essay focuses on the contemporary and prospect threats of ‘Cyberwarfare’ disrupting World Order and menacing with the critical infrastructure |
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