Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

Storage systems that are built around a hierarchical model will more easily accept XML data and will do so without having to perform relational and indexing gymnastics as they would with a ...

Hierarchical data model generation during IP verification: During IP-level CDC verification, a data model is generated along with CDC results. This HDM contains all the necessary information about the ...

Overview: What Is the Analytic Hierarchy Process (AHP)? AHP is a structured group decision-making technique for organizing and analyzing complex decisions. It was developed by Thomas L. Saaty in ...

Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

The hierarchy-of-effects theory is a model of how advertising influences a consumer's decision to purchase or not purchase a product or service.

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.