Big data analytics can be used in many domains for accurate prediction and analysis of the large amount of data. They facilitate the discovery of significant information from large data, which is hidden otherwise. In this paper, we describe an approach for analysis of the stock market to ...
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2 Apply to Stock markets: -target: return on stocks -features: micro characteristics and macro indicators -challenges:stock market数据一般是panel data: 3 Pooled Panel Regression 针对panel data的特性,我们可以把所有stocks和months和一起考虑(同一个predictive model) 4 Pre-Processing return data 一般来...
The big data market is experiencing unprecedented growth, with a key driver being the escalating demand for data-driven decision-making. In today's competitive landscape, organizations recognize the strategic value of leveraging data insights to inform precise and informed decisions. This shift signifies...
The stock market contains rich, valuable and considerable data, and these data need careful analysis for good decisions to be made that can lead to increases in the efficiency of a business. Data mining techniques offer data processing tools and applications used to enhance decision-maker decisions...
The main objective of this work is to propose a novel approach for stock market prediction for handling big data. This research develops a new SP-PDA (Stock Price Prediction with Political Data Analysis) which includes preprocessing, feature extraction, and prediction. In this work, we employed ...
Al Nasseri A., Tucker A. and de Cesare S. Big data analysis of stock twits to predict sentiments in the stock market. - In: International Conference on Discovery Science, 2014, October. - Springer International Publishing, 2014. - P. 13-24....
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This project aims to build a scalable big data pipeline using Google Cloud Platform (GCP) services to ingest, process, and analyze stock market data from the Alpha Vantage API. The pipeline leverages Cloud Storage as an intermediate staging area for raw and processed data, ensuring data durabilit...
4. Big Data in Restaurants The restaurant industry is focusing on using data-centric applications more and more to establish a place in the existing market. If we consider the restaurant business industry, we can see a lot of competition and struggle that a restaurant has to face to be there...