Some popular data modeling techniques include Hierarchical, Relational, Network, Entity-relationship, and Object-oriented. The Hierarchical data modeling technique follows a tree-like structure ...

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 ...

A hierarchical model is a useful statistical tool to more efficiently analyze the data, and it is increasingly being used in computational genomics. A motivating example Consider a hypothetical ...

Hierarchical eQTL model. Denote the data vector as D=(E O, G O), where the observed gene expression (E O) and marker data (G O) both may have some missing entries.

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 ...

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...