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

As your XML documents become more complex, your relational database does as well. Storage systems that are built around a hierarchical model will more easily accept XML data and will do so without ...

Statistical inference in this context is challenging. A hierarchical model is a useful statistical tool to more efficiently analyze the data, and it is increasingly being used in computational ...

In the suggested hierarchical model, an expression QTL (eQTL) model (which is essentially our missing data model) is part of the larger cQTL model and it represents a Bayesian model-based method ...

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 ...