Sentence examples for mining technology is from inspiring English sources

An acquisition granularity calibration method of the photovoltaic output power based on data mining technology is proposed in this paper.

Combined with the characteristics of overburden failure, a simple and applicable calculation method of fractal dimension connected with the parameters of mining technology is proposed.

To find out the discipline and obtain the knowledge which may be hiding in the experience of technician, data mining technology is put forward to analyze the assembly data.

The Wongawilli strip pillar mining technique, which combines the strip pillar mining layout and Wongawilli mining technology, is a new high efficient mining technology for mining under surface structures.

Data mining, this is the whole fish bone drive a new term, is an abstract concept and improve the multidimensional-data bones application process data mining technology is applied to process optimization and structure of the data mining.

One limitation of the current approach using literature mining technology is incorrect or missed identification of the mentioned targets within the literature.

The tone of comments about JetBlue, as elicited by the Zeta Buzz online media mining technology, was 70 percent positive and 30 percent negative on Wednesday, Zeta reported, compared with 59 percent positive and 41 percent negative on Tuesday.

The decision-tree algorithm of data mining technology was used to distinguish between manure and chemical fertiliser treatments.

Argumentation mining technologies are rapidly evolving and show a clear potential for application in diverse areas such as recommender systems, policy-making and the legal domain.

While mining technologies are capable of finding any information within a certain set of data, this may lead to unusable output due to the improper input ("garbage in, garbage out").

Business intelligence and knowledge discovery services, such as advanced analytics based on data mining technologies, are expected to be among the services amenable to be externalized on the cloud, due to their data intensive nature, as well as the complexity of data mining algorithms.