Using an automated in-depth accounting analysis of each company’s most recently reported 10K, 10Q and 8K data, our methodology assigns Risk-managed Fundamental Grade (RFG) to companies, ranging ...

The most popular types of data mining techniques include association rules, classification, clustering, decision trees, K-Nearest Neighbor, neural networks, and predictive analysis.

Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, ...

Integrating historical data and physics-based analysis are both important to identifying cracking and system fatigue ...

Human judgment can be amplified by machine-assisted analysis to build an emerging hybrid-intelligence model, but the industry ...

High levels of Lp(a) may predict incidence and progression of extracoronary athero-sclerotic vascular disease — a combination ...

1 Identify and apply suitable statistical analysis to business and economic data to support business decisions. 2 Apply regression models, perform hypothesis testing, and conduct and evaluate ...

It’s a matter of using all the information we have gathered to take the best decision for the future. By utilising the power of numbers, the HR process becomes more efficient, and we can measure an ...

Control with model predictive methods By William Poe Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have ...