Sentence examples for complex data types from inspiring English sources

The complexity of modeling for systems biology is increasing as investigators collect more complex data types.

There is a need for indexing of complex data types and for specialized indexing techniques.

An overview of methodologies for mining complex data types is presented.

Using an ORDB, we get the benefit of the relational maturity and the richness of Object-Oriented modeling, including various complex data types.

Neuroscientists collect data composed of many types, from the storage of simple tabular data in both numeric and textual form to more complex data types such as images, videos, and time series data.

This chapter presents a high-level overview of mining complex data types, which includes mining sequence data such as time series, symbolic sequences, and biological sequences; mining graphs and networks; and mining other kinds of data, including spatiotemporal and cyber-physical system data, multimedia, text and Web data, and data streams.

A complex data type is a set of basic data types, grouped in order to form an abstract data type.

Among these MongoDB is the most popular one due to its efficiency, in memory processing and complex data type features [94].

The conceptual and technical integration of the different FSSIM components has proven to be a challenging and time-consuming task due to the complex data-types (or data-structures) being exchanged between components, the large data amounts and diverse data sources required to run FSSIM.

The database foundation, Oracle DBMS, was chosen because of its recognized data storage reliability, security and rich programming environment necessary to handle complex biological data types.

The system dynamically incorporates new sets of objects and their relations and integrates the following four complex orthogonal data types: Graphs, Tables/Histograms, Trees, and Sequences [ 14, 15].