Predictions with Big Data

2016 Olympic Games on Twitter: Sentiment Analysis of Sports Fans Tweets using Big Data Framework

Big data analytics is one of the most important subjects in computer science. Today, due to the increasing expansion of Web technology, a large amount of data is available to researchers. Extracting information from these data is one of the requirements for many organizations and business centers. In recent years, the massive amount of Twitter's social networking data has become a platform for ...

The 33rd International Symposium on Forecasting: Forecasting with Big Data

Big Data Analytics in Financial Market

Big data plays a serious role within the business for creating higher predictions over business information that is collected from the real world. Finance is that the new sector wherever the big data technologies like Hadoop, NoSQL are creating its mark in predictions from financial data by the analysts. It’s a lot of fascinating within the stock exchange choices which might predict on a lot of...

Big Five factors of personality and replicated predictions of behavior.

Measures of the Big Five factors of personality were used to predict a variety of criterion variables thought to represent behaviors of some social and cultural significance (e.g., alcohol consumption, grade point average). Analyses focused on replicated predictions across 2 independent samples of participants (Ns = 276 and 142) with 3 different measures of the Big Five (the NEO Five-Factor Inv...

Using Deep Learning Based Approaches for Bearing Remaining Useful Life Prediction

Traditional data driven prognostics requires establishing explicit model equations and much prior knowledge about signal processing techniques and prognostic expertise, and therefore is limited in the age of big data. This paper presents a deep learning based approach for bearing remaining useful life (RUL) prediction with big data. This approach has the ability to automatically extract importa...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...