Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability …

This paper presents the design rationale and specifications for FinQL, a new, domain specific, query language that … addresses the complexities of time series data, research idea articulation, and backtesting in finance. The language empowers … end users by enabling them to write queries in a syntax similar to the natural language used in the domain. We present the …

decisions without the human intervention. K-Means algorithm is a popular machine learning clustering algorithm. R language is a … statistical language and used for data analysis. This study made an effort to implement the k-means algorithm using R language and …