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Section 3 presents an algorithm for the attribute reduction.
Attribution reduction in decision-theoretic rough set models.
Attribute reduction based on minimum decision cost.
Minimum cost attribute reduction in decision-theoretic rough set models.
Reduction of Rough Set Attribute Based on Immune Clone Selection.

Then follow the general steps of data mining to research and analyze the enrollment data.
Introduction Data Mining (Data Mining-DM) is a decision support process.
Combined with a university enrollment data for analysis, information on the candidate’s personal is been attribute reduction.
Some dependencies between data can be summarized through a set of attribute after reduction.
In this paper, the data source is from graduate enrollment data.

The data mining technique is employed and the massive spectra are identified quickly and efficiently.
The experimental data The experimental data are the entire SDSS DR9 spectra which is the SDSS's newest data release including the first spectra of the Baryon Oscillation Spectroscopic Survey.
Fig. 1 CVs template spectra from SDSS The training data set consists two parts.
PCA is a popular solution of dimensionality reduction.
The results of our data mining belong to these types.

At a certain position of the circular disturbance body provide value pressure drop reduction on narrow channels and drag reduction when compared to a single circular cylinder.
From the experimental data presented in this paper it is observed that the position angle of circular disturbance body to reduce drag force on a circular cylinder and reducing the pressure drop in the channel are at angle 200 and 300 for D=25 mm, and 200, 300 and 400, respectively, for D= 37.5 mm then the best reduction for both cylinders are at an angle of 300.
Then be validated using the pressure transducer Omega PX-655 and data acquisition DAQPRO Omega-5300.
Then at α=200 minor head loss value reduction occurs at Reynolds number variation of 11.6×104 to 15.6×104.
In the experiment of single cylinder and its configuration, the value of the pressure coefficient distributions obtained from pressure measurements at two pressure taps were placed on the contour angle 00 and 1800 mid-span section of a circular cylinder with a collection of data every change of rotation angle of 50.

Then follow the general steps of data mining to research and analyze the enrollment data.
Introduction Data Mining (Data Mining-DM) is a decision support process.
Combined with a university enrollment data for analysis, information on the candidate’s personal is been attribute reduction.
Some dependencies between data can be summarized through a set of attribute after reduction.
In this paper, the data source is from graduate enrollment data.

There are many researches on CO2 emission reduction of power industry.
model for CO2 emission reduction of power system under uncertainty to provide reference for the feasibility and applicability of CO2 emission reduction techniques [9].
Capital Constraint of CO2 Emission Reduction
(3) where PER is the reduction cost by decreasing 1 g/kW·h of coal consumption per unit, yuan/t CO2; PPR is the reduction cost of per unit CO2 emission reduction by taking measure of CCS etc, yuan/t CO2; FECi is the capital of CO2 emission reduction in period i, 108 yuan.
Concrete planning data of power system in Heilongjiang area sees Tables 1 and 2.

The best low-frequency noise reduction is located below the pylon where peak noise reduction is as high as about 1.3dB on frequency spectrum. 1.
All the acoustic data are collected on the hot jet noise rig located in the anechoic chamber, shown in Figure 1.
The microphone array which consists of seven microphones has the ability of capturing data at jet directivity angles ranging from 0 to 180 degree and the top of the pylon is defined as 0 degree.
The highest jet noise reduction in these experimental data is as high as 1.2dB located under the pylon.
The best low-frequency noise reduction is located above the pylon where the noise reduction is as high as 3.7dB on frequency spectrum.

Present of yeast or citrate could enhance Cr(VI) reduction of resting cells.
Cr(VI) could be reduced into Cr(III) by biological and chemical methods, but biological Cr(VI) reduction is more preferable than chemical reduction due to the lower cost [4].
Cr reduction was indicated by the decrease of Cr(VI).
These data were lower than one previous report (206.15 mM in nutrient agar) [15].
Wang: Microbial reduction of chromate.

Jet drag reduction technology Currently, the research of jet drag reduction technology mainly concentrated on the flow drag reduction.
In the hypersonic aircraft drag reduction research, some scholars have already put the flow drag reduction technology into the hypersonic aircraft drag reduction research field.
Schülein etc [69] found shock needle deflection angle and direction can’t be ensured relying on the pitot pressure data.
Drag reduction rate is about 35%.
Shock wave drag reduction.

In carbon tax situation, we set up two kinds of carbon emissions reduction targets: total carbon emissions and carbon intensity reduction targets.
； (2) Known from the equation 2 The optimal reduction makes the marginal cost of emission reductions equal to carbon tax rate.
When setting the carbon tax rate ,the government alse need to consider the emission reduction target achievement.Accroding to Shenzhen’s emission reduction scheme,we set two carbon emission reduction target
And building dynamic game model, making it is more in line with the reality of the actual carbon tax system.Finally, we get the conclusions via analyzing data and model
Fang: Carbon Emission Reduction Strategy Study Based on Carbon emission Reduction cost evolution curve.