Jeffrey S. Saltz

TL;DR: In this article, a method and system for interactive visual analysis of interactions among entities, where entities are individuals or groups, is provided, which includes a computer, a database electronically coupled to the computer for storing interaction data, and algorithms stored in the storage unit for measuring connectivity and diversity of entities based on their interactions.

TL;DR: This paper discusses the key research questions relating methodologies, tools and frameworks to improve big data team effectiveness as well as the potential goals for a big data process methodology.

TL;DR: The need for ethics to be taught as integrated within ML coursework is demonstrated, a preliminary framework of relevant ethics questions that should be addressed within an ML project are offered, and novel course models are provided that provide examples for how to practically teach ML ethics without sacrificing core course content.

TL;DR: In this article, a system for allowing a user, through a computer in telecommunication link with a system having access to financial and market data, to predict the performance of a financial vehicle and thereby provide training for trading options or evaluating predictions are provided.

TL;DR: There is no agreed upon standard for executing Big Data projects but that there is a growing research focus in this area and that an improved process methodology would be useful, and the synthesis provides useful suggestions to help practitioners execute their projects.