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Trend Prediction

Trend prediction of the 3D thermocline’s lateral boundary based on the SVR method

Trend prediction of the 3D thermocline’s lateral boundary based on the SVR method

... variation trend of three-dimensional thermocline’s lateral boundary in the study area (10°–25° S and 55°–80° ...a prediction of 2016 with SVR method, and com- pares them with the real data of 2016 in order ...

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Market trend prediction using sentiment analysis: lessons learned and paths forward

Market trend prediction using sentiment analysis: lessons learned and paths forward

... Sentiment attitudes and emotions were extracted from the FT news articles and the RWNC headlines in the time period from 2011 to 2015. The experimental results as shown in Table 9 indicate that incorporating sentiment ...

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Stock Market Trend Prediction with Sentiment Analysis based on LSTM Neural Network

Stock Market Trend Prediction with Sentiment Analysis based on LSTM Neural Network

... market trend prediction plays a significant role in investment ...stock trend prediction and analysis the influencing factors of stock trend prediction method based on LSTM ...

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Movie Business Trend Prediction using Market Basket Analysis

Movie Business Trend Prediction using Market Basket Analysis

... business trend analysis can take business to the right ...business trend prediction about how the film will do business, it can be helpful to reduce the ...profitable trend determination by ...

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INDIAN STOCK MARKET TREND PREDICTION USING SUPPORT VECTOR MACHINE

INDIAN STOCK MARKET TREND PREDICTION USING SUPPORT VECTOR MACHINE

... Support Vector Machines (SVM) is a supervised statistical learning technique introduced by Vapnik. It is one of the standard tools for machine learning successfully applied in many different real-world problems. For ...

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Survey of Supervised Learning Techniques on Stock Trend Prediction

Survey of Supervised Learning Techniques on Stock Trend Prediction

... trend prediction. A comparison study has been performed between the prediction models created using SVM, Random Forest and Multinomial Naïve ...

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Demo for Trend Prediction

Demo for Trend Prediction

... the trend prediction on time series which, similarly to the fashion series, are seasonal with irregular ...the prediction of 30 months on monthly average climate data (temperature and frost) in North ...

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Market trend prediction using sentiment analysis: lessons learned and paths forward

Market trend prediction using sentiment analysis: lessons learned and paths forward

... In the last set of experiments, we created the enriched model based on sentiment attitudes and sentiment emotions extracted from financial tweets. The time period of the Twitter messages dataset is significantly shorter: ...

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Crypto Currency Price Trend Prediction using k Means Clustering

Crypto Currency Price Trend Prediction using k Means Clustering

... the trend in crypto price fluctuation (Kamrat et ...term prediction like 1 years on the other hand few indictors are used to predict trend for very short time frame like 1 ...

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Application of Markov chain analysis to trend prediction of stock indices Milan Svoboda 1, Ladislav Lukáš 2

Application of Markov chain analysis to trend prediction of stock indices Milan Svoboda 1, Ladislav Lukáš 2

... index trend of Prague stock exchange PX using Markov chain analysis ...the trend using MCA is done using time series of day closing prices from ...short-term trend prediction using MCA are ...

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Equity trend prediction with neural networks

Equity trend prediction with neural networks

... This paper presents results of neural network based trend prediction for equity markets. Raw equity exchange data is pre-processed before being fed into a series of neural networks. The use of Self ...

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Improved Accuracy of FOREX Intraday Trend Prediction through Text Mining of News Headlines using J48

Improved Accuracy of FOREX Intraday Trend Prediction through Text Mining of News Headlines using J48

... Intraday trend prediction is short term prediction of FOREX market based on the news headlines released in the past couple of ...of prediction of ...

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AN EMPIRICAL STUDY ON STOCK INDEX TREND PREDICTION USING MARKOV CHAIN ANALYSIS

AN EMPIRICAL STUDY ON STOCK INDEX TREND PREDICTION USING MARKOV CHAIN ANALYSIS

... index trend of various global stock indices using Markov Chain ...the trend prediction using Markov Chain analysis is compared with the results obtained through traditional trend ...

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Real-Time Stock Trend Prediction via Sentiment  Analysis of News Article

Real-Time Stock Trend Prediction via Sentiment Analysis of News Article

... 500 companies between 2002 and 2012 for their analysis of stock prediction. For Linguistic feature types unigram feature is being used and is lemmatized. Features are removed occurring less than 10 times and PMI ...

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Future Trend Prediction of Indian IT Stock Market using Association Rule Mining of Transaction data

Future Trend Prediction of Indian IT Stock Market using Association Rule Mining of Transaction data

... On subsequent evaluation we find that fragment based approach as a promising one for extracting some association rules of predictive nature from Indian IT Stock Market which could be used for prediction or ...

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Stock Trend Prediction Using Regression Analysis – A Data Mining Approach

Stock Trend Prediction Using Regression Analysis – A Data Mining Approach

... The proposed model uses regression analysis as a data mining technique and developsa system for exploiting time series data in financial institution. A prediction system has been built that uses data mining ...

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Decision Tree Algorithm Based University Graduate Employment Trend Prediction

Decision Tree Algorithm Based University Graduate Employment Trend Prediction

... Employment has always been a problem that is difficult to be ignored and also can not be ignored in modern society, especially among university graduates. With the increase of the number of graduates, employment ...

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Analysing Twitter and web queries for flu trend prediction

Analysing Twitter and web queries for flu trend prediction

... Conclusions: Previous studies addressing the estimation of disease incidence based on user-generated content have mostly focused on the english language. Our results further validate those studies and show that by ...

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On XLE index constituents’ social media based sentiment

informing the index trend and volatility prediction

On XLE index constituents’ social media based sentiment informing the index trend and volatility prediction

... the trend prediction sce- narios investigated here related to XLE and its constituents, the senti- ment’s impact on volatility predictions is ...atility prediction modelling approach, based on Jordan ...

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Prediction Of Stock Trend For Swing Trades Using Long Short-Term Memory Neural Network Model

Prediction Of Stock Trend For Swing Trades Using Long Short-Term Memory Neural Network Model

... future trend of the ...actual trend of the stock and the orange line is the predicted trend of the stock for the next few ...stock trend which helps them to get more amount of ...

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