Sentence examples for aggregation and classification from inspiring English sources

Minhashing [23] is utilized within Strand to drastically reduce the amount of storage required for high-capacity map reduction aggregation and classification function operations.

The "aqp" (algorithms for quantitative pedology) package was designed to support data-driven approaches to common soils-related tasks such as visualization, aggregation, and classification of soil profile collections.

The aggregation and classification process is illustrated in Fig.  7 for two attributes: age (k = 1) and RBC (k = 3).

Optionally the user should be able to link the defined data item to an external terminology, which later can be utilized for possible data aggregation and classification purposes.

In addition to the aforementioned softwares for pathway-level aggregation, classification, and rank aggregation, the analysis performed in this paper used R and Perl for numerical computation and data parsing.

The system implementation consists of various steps that begin with data generation and move to collection, aggregation, filtration, classification, preprocessing, computing and decision making.

The proposed framework results in various types constraints, i.e., attribute, class, participation, projection, co-occurrence, appearance and overlapping, on a semantic model that supports abstractions like classification, generalization/specialization, aggregation and association.

The user specified map reduction aggregation method operates within any number of training and classification worker processes to scale as required by the user or machine learning task at hand.

The map reduction aggregation method specifies how targeted input data will be aggregated within the current system during training and classification worker processing.

Typically, international databases employ high levels of occupational aggregation and are insufficiently standardized in their classifications to allow for cross-country comparability [ 6].

Consequently, this section begins by displaying the results of aggregation and its potential impact on any binary classification problem.