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Then, the pretreated sample data using rough set attribute reduction method to delete redundant attributes.
Rough Set theory is based on a simplified indistinguishability of ideas and knowledge methods, while maintaining the ability to classify the same premise, through knowledge reduction, the logical inference rules from the data in the system as a model of knowledge.
Using rough sets to avoid the loss of information caused by discrete data in a data processing process, through the rough set attribute reduction, greatly reducing the training process of neural networks[3-4].
Fault diagnosis method proposed neighborhood rough sets and neural networks using neighborhood rough set to avoid the loss of information caused by discrete data in a data processing process, through the rough set attribute reduction, greatly reducing the neural network training process.
[8] Yulig Y, Ye SH, Rough set reduction for hybrid data based on genetic algorithm, Journal of harbin institute of technology. 2008,40(5):683-687

Introduction Data Mining (Data Mining) generally speaking is digging out from a number of data knowledge.
The main purpose of data mining is to identify trends and patterns in the data.
Broad -based knowledge discovery -oriented approach to reduction properties, for example, the method in the database by collecting the relevant data sets, followed by application of a series of data to promote technology, involving the concept of tree improvement, property removed attribute threshold control, and other aggregate functions dissemination.
Database Data Warehouse Data Mining Mode Knowledge Fig. 1, Data mining process As we can be seen from Figure 1 the data mining techniques basic process.
Conversion data Data conversion purpose is to convert the data type and value of the source data into a unified format, such as converting a Boolean type to integer ; converting continuous data into discrete types.

Table 3 The ingredient analysis of bornite by electron probe unit: wt% Item 1 2 3 4 5 Average S 27.86 27.51 27.27 28.34 26.85 27.57 Fe 17.23 16.90 17.88 16.51 16.85 17.07 Cu 54.91 55.59 54.85 55.15 56.13 55.36 3.4 Mineralogical composition of reduction products The typically chemical composition on the aspect of iron in the final products after the copper slag was reduced with carbonthermic method at 1423 K for 4 h could be found in Table 4，the data in Table 4 was the average of ten times experiments with a scope of 100g each time.
Fig.2 was the X-ray diffraction graph of the reduction products of copper slag.
Fig. 1 XRD of copper slag before reduction Fig. 2 XRD of reduction products 3.5 Thermodynamic analysis of the modification of slag and reduction The addition of CaO or lime could tend to increase the reduction ration of iron.
Which guaranteed the reduction process go with a swing.
Sahin, B.Sirin, A reduction study of copper slag in a DC arc furnace, Scand.

Effect of Argillites Reduction Ratio on Ceramic Tile and Paving Clinker of Low-Temperature Sintering A.V.
In given intervals of reduction ratio and firing temperature the index of water absorption capacity of less than 5 % needed for ceramic tile is achieved by size reduction of 0 – 0.315 mm and firing temperature of 1000 °C and higher.
For Vladimirovskoye deposit in given intervals of reduction ratio and firing temperature the index of water absorption of 5 % is achieved by size reduction of 0-0.315 mm and firing temperature of 1050 °C and higher.
Considering that laboratory data, in principle, don`t entirely have to focus on upper limit values, we can use an average index of water absorption capacity of 1.5 % for paving clinker and 3.5 % for ceramic tile.
In this case, the necessary indexes are achieved at higher firing temperatures and finer reduction ratio of the raw material.

The Kalman filter can be applied to remove noise or artifacts without affecting other crucial data [12] [13].
Numerical data analysis and computation are done with this application.
The Kalman filter is used to eliminate distortions and noise from a signal without compromising other crucial data.
The Kalman filter is capable of foretelling and examining relationships between various sorts of data.
Zhao et al., “Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques,” Proc.

Aerodynamic Drag Reduction Design of Concept Sports Car Ying-chao Zhang1, a, Fang Zhao1, b, Shu-xin Shao1, c and Guang-yin Jin2, d 1State Key Laboratory of Automotive Simulation and Control, Jilin University, China 2China FAW Company Limited R&D Center, Jilin, China ayingchao@jlu.edu.cn, bzfzhaofang@gmail.com, cshaoshuxinjlu@163.com, dgabrielking@126.com Keywords: Sports car, shape optimization, CFD, Aerodynamics, drag reduction.
The aim is to provide the experimental data for researches of drag reduction and aerodynamics theory. [2] 2 Model 2.1 Basic Theories.
(3) Comparison with the foregoing analysis, you can see basically the fingerprint consistent with tabular data analysis.
All show that the optimization of spoiler and body results obviously, the reduction of grill wind resistance coefficient mainly due to the reduced area of small grid on both sides.

By integration analysis of monitoring data of typical section, curves of horizontal and vertical displacement with time were drawn, shown in Figure 3.
Based on the observation results of typical section and the cumulative horizontal and vertical displacement variation, as well as integration analysis of the data, curves of horizontal and vertical displacement rate with time are drawn, shown in Figure 4.
By integration analysis of monitoring data of typical inclinometer hole, deep displacement curves with depth were drawn, shown in Figure 5.
Fig.11 Plastic strain contours Fig.12 Changing curves of side deformation with reduction factor (3) Based on the penalty function contact of pile soil and the surface of rock mass, the three-dimensional numerical model of coupling of seepage and strain has been established, the measured value of 55.3mm, numerical simulation of 56.1mm through analyzing and comparing with field test data of slope.
Slope Stability Analysis by Strength Reduction FEM [J].

In cantilever beam system, through the experimental method to study vibration reduction mechanism of particle collision damper.
Damper is fixed to the cantilever beam free end, acceleration sensor is fixed opposite the damper, the vibration signal is given feedback to data acquisition analyzer through the charge amplifier, the analyzed data transports to the computer software DASP(Data Acquisition & Signal Processing), can get the vibration frequency domain and time domain figure of the cantilever bean system, adjust the frequency to resonant frequency that makes the maximum amplitude of the cantilever beam.
(1) Experimental Data and Data Analysis: No Additional Plus Damping Vibration and Steel Balls Damping Vibration.
Although the mass of the impacters is same, the vibration reduction effect is not obviously as the impacters diameter changes.
The aluminum filling rate is 40%, the impacters’ mass are same, but the vibration reduction effect is absolutely different.

In the global carbon emission reduction and energy saving environment, the State Grid Corporation is actively establishing energy service system, building a national grid of energy efficiency services data platform.
Headquarter platform take energy efficiency modeling and data analysis with mass data storage, data mining, OLAP, and other technologies.
Fig.3 Physical architecture of the State Grid energy efficiency services data platform Platform Data Sources Marketing System Data.
Data from Submitted Report.
Data Analysis Functions.

Under this condition, the reduction of COD was achieved up to 54.24%.
RSM is a collection of mathematical and statistical techniques based on the fit of a polynomial equation to the experimental data, which must describe the behaviour of a data set with the objective of making statistical previsions [3].
STATISTICA 8.0 was employed for data analysis.
Fig. 1 a) Parity plot for percentage reduction of COD b) Pareto chart of percentage reduction of COD Interaction Effects of Variables on Percentage Reduction of COD.
The observed value of COD reduction percentage is 54.03%.