Sentence examples for mining process for from inspiring English sources

In [53] authors developed a data mining process for classification of imbalance data based on MapReduce to predict traffic accidents with the highway traffic data.

This study presents ten modeling techniques within data mining process for the prediction of thermophysical properties of refrigerants (R134a, R404a, R407c and R410a).

In this paper, we present a data mining process for efficient failure analysis of industrial products by a mashup of data collected from both divisions.

This study presents nine modeling techniques within data mining process for the prediction of electric field level which depends on the positions of stirrer in the mode stirred reverberation chamber.

We implemented an Internet-based prototype of CSDSS which had an architecture based on intelligent agent technology and also the successful integration of data mining process for the generation of optimal sampling method into DSS framework by means of applying that technology.

A principle component analysis revealed the main origin of heavy metals: soil parent materials for Cu, Pb, and Zn; atmospheric deposition during mining processes for Cr, and Hg; and human farming activities for Cd.

The flow was included in the ten existing hard coal mining processes for the following geographical regions: Australia, Latin America and the Caribbean, Northern America, Centrally planned Asia and China, China, Central and Eastern Europe, Russian Federation, Western Europe, and South Africa (geographical term and definition as used in Ecoinvent).

It is a complex process that takes into account the mining of evolutionary data, the subsequent analysis of the mining process results for producing evolution facts, the use of visualizations supported by interaction techniques and the active participation of users.

These "singleton clusters" often result from an error during the mining process using LTRharvest, for instance, the detection of two closely inserted solo-LTRs.

This paper shows an alternative process mining procedure for logs containing only data on the number of times that process steps have been executed (i.e., frequencies).

The usage of scientific workflows allows composing convenient tools for modelling data mining processes and for simulation of real-world time- and resource-consuming data mining problems.