Using machine learning to selectively highlight patient information

Using Machine Learning to Improve Information Access

The explosion of on-line information has given rise to many query-based search engines (such as Alta Vista) and manually constructed topic hierarchies (such as Yahoo! ). But with the current growth rate in the amount of information, query results grow incomprehensibly large and manual classi cation in topic hierarchies creates an immense information bottleneck. Therefore, these tools are rapidl...

Information Visualization using Machine Learning

Data visualization is an important tool for discovering patterns in the data. Finding interesting visualizations can be however a difficult task if there are many possible ways to visualize the data. In this paper we present the VizRank method that can estimate visualization interestingness. The method can be applied on a number of visualization techniques and can automatically identify the mos...

Using Machine Learning ARIMA to Predict the Price of Cryptocurrencies

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

Using Machine Learning to Retrieve and Manage Internet Information

Applications of Machine Learning to Information

The recent explosion of on-line information has given rise to a number of query-based search engines (e.g., Alta Vista) and manually constructed topic hierarchies (e.g., Yahoo!). But with the current rate of growth in the amount of available information, query results grow incomprehensibly large and manual classiication in topic hierarchies creates an immense information bottleneck. Therefore, ...