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Method and data Method.
Data.
Firstly, published data.
Secondly, survey data.
Finally, calculation data.

Sprecher Benjamin et al [21] investigated the environmental impact of NdFeB recycling, but assumed laboratory-scale data.
Research Data.
The data on the calcium reduction process are from the Institute of Materials Engineering, Beijing University of Technology, and all the experimental equipment used were factory pilot-scale equipment, with the same process parameters and energy consumption as the equipment used in industry, and the experimental data on calcium reduction is consistent with the data on hydrometallurgical method. or close to it.
Background data, including energy production, were obtained from the database of the National Engineering Research Institute for Industrial Big Data Application Technology (CNMLCA) of Beijing University of Science and Technology (CNMLCA, 2013).
SimaPro software is used for life cycle modeling, data processing and analysis of the two processes.

But there is no decision attribute in data Table 1 thus making it cannot do supervised learning and then the classification algorithm does not directly apply.
In data Table 1, most experts in this field would take the attribute of urgency as first and for most, also give it maximum value when determining its weight.
So you can get such a loading priority evaluation data sheet as Table 1.
Conclusion This paper firstly analyzed the shortcomings of the loading priority evaluation using the AHP and proposed a kind of algorithm of property weight evaluation based on PRSIM classification by using data mining classification and attribute reduction technique, combing expertise and characteristics of the objective data itself together, with a load instance set as algorithm example set and the priority evaluation carried out.
Data Mining: Practical Machine Learning Tools and Techniques (2nd edition) [M].

Spectral data such as near-infrared spectrum and frequency spectrum can simply the modeling of the difficulty-to-measured parameters.
The latent variables space based feature extraction can successfully complete the dimension reduction and feature extraction of the spectral data.
Spectral data can simply the modeling.
The near-infrared spectral data come from http://www.ucl.ac.be, in which the data for learning and test are 150*700 and 68*700 respectively.
This approach can also be used to modeling high dimensional Radar and photometric data.

By making use of the developed strength reduction finite element codes based on which the matric suction can be considered, the sliding mechanism of the Down TuDiLing slope is analyzed.
The concept of strength reduction finite element method (FEM) was firstly proposed by Zienkiewicz et al[2], then Ugai and Griffths et al propelled the development and application [3,4].
Considering the influence of the non-uniform distribution of matric suction on the unsaturated soil slope stability, the theory and numerical implementation method of the unsaturated soil slope stability was discussed based on the strength reduction FEM, and thereby the strength reduction FEM was introduced into the stability analyses of the unsaturated soil slope [5].
In order to discuss its instability mechanism, the stability of the down TuDiLing slope is analyzed by the strength reduction FEM.
According to the geological exploration data, the Down TuDiLing slope is an old landslide along the bedrock.

The theory accurately predicted polarization data and glucose hydrogenation rates. 1.
Circled points are experimental data and solid lines are calculated data using NLS fitting procedure.
It can be seen that the fitted curve for the total current, which is the sum of two partial currents, is in good agreement with the experimental data.
The experimental data are presented by circles.
The experimental data are presented by symbols.

The user data is divided into several data blocks which are stored in different storage nodes, based on data fragmentation method of erasure code.
The user data is divided into several data blocks which are stored in different storage nodes, based on data fragmentation method of the erasure code.
According to the principle of erasure code, the lack of a single block will not affect the data reduction, so reliability of data is improved greatly.
Reconstruction of the source data is correct, and is the same as the data before coding.
Verification of data fragmentations can ensure the reliability and integrity of the user data.

The simulation analysis of cable-creating machine on Vibration and noise reduction Qingyue Zhang 1, a, Lingyan Zhao 1,a and Zijun Zhao2,b.
If we want to achieve the effect of noise reduction we must overcome the mechanical impact.
This will be able to have a better result of noise reduction.
[5] The Case western reserve University Bearing Data Center Website.
Bearing Data Center Seeded Fault Test Data[EB/OL]. [2009-08-23]. http://www.eecs.case.edu

Experimental data from published literature was adopted to validate the present models.
The experimental data was from Ref. [6].
The NO formation could reasonably agree with the test data when the NO full mechanism was used.
However, if the reburning mechanism was not considered in the simulation, the calculated NO was much more than the experimental data.
The numerical results were a little smaller than experimental data.

Then, experiments were conducted to provide basic data on the crack control, strength improvement and spalling prevention of HPC exposed to high temperatures.
Weight reduction ratio Fig. 4 presents weight reduction ratios of HPC specimens according to temperatures.
However, from 250oC to 500oC, it was clear to identify an increase in their weight reduction ratio.
In particular, for the FA-PP-03, its weight reduction ratio was 1.1% at 600oC, showing more significant reduction than that of other specimens.
However, at over 600oC, dehydration of CaCO3 began, increasing the weight reduction ratio.