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Data mining is a class of in-depth data analysis[4].
Data mining is in-depth analysis of financial data.
Data management includes the following: (1) data selection.
Search all the financial analysis of object-related internal and external data, according to the purpose of financial analysis and choose the data for data mining. (2) Data reduction.
Data reduction is in the discovery task and understanding to the content data itself, based on search depends on the data found target characteristics of a useful to reduce the data size, Conger data as much as possible the original appearance of the data possible on the premises. (3) Data conversion.

This paper takes automobile panel as the study object, and adopts non-contact 3-D scanner to obtain the point cloud data of the automobile panel for point cloud data sampling and noise reduction processing.
With the help of Geomagic Studio, the perfect polygon model and network can be built easily based on the scanned point cloud data, and be conversed to NURBS surface automatically [1-3]. 1 NURBS surface reconstruction theory 1.1 NURBS curve.
Fig.2 Point cloud data 2.2 Point cloud data processing.
Figure 3 is the surface comparison before and after noise reduction.
Before noise reduction After noise reduction Fig.3 Surface quality comparison before and after noise reduction processing 3 NURBS surface creation Sealing the processed point cloud data, and then selecting the surface boundary that needs to be edited; inputting control point amount for smoothening the boundary to make the boundary a spline curve finally. 3.1 Surface patch construction.

Just like the technology list classification group derived at previous analysis on domestic policy, demonstration and research data, the environment-friendly, low-energy construction technology group recommended by domestic and international environment-friendly building certification systems was also divided into new & renewable energy, reduction of envelope load, high-performance facilities, high-efficiency lighting and building energy management.
If the conventional assessment methodology is applied as it is, in other words, the scope of data collection aimed to assess environmental load by environment-friendly, low-energy product group differs individually.
Because a life cycle which determines the scope of data collection and effects of load reduction by applying environment-friendly, low-energy technology varies, the amount of environmental load reduced cannot be quantitatively stated.
To solve this kind of problem, this study proposes limiting the data collection and LCA during the building usage stage only.
Building GHG Reduction Technology The environment-friendly, low-energy construction technology which is being applied to current domestic systems, design criteria, research data and demonstration houses is divided into new & renewable energy, high-performance envelope, high-efficiency facilities and operation & maintenance, and detailed technologies in each section are summarized.

Photocatalysed reduction of aqueous Na2CO3 was carried out by using nano KNiF3 powders.
The XRD data for index and cell-parameter calculations were collected by a scanning mode with a step of 0.02° and a scanning rate of 0.2°/min.
The photocatalysed reduction properties of KNiF3.
Compared to the [JCPDS Card 21-1002] data, the prepared KNiF3 has cubic perovskite-type structure.
Photocatalytic reduction of alkali carbonates in the presence of methylene blue, J.

According to Ayegba et al [2], the friction reduction is almost depending on the form of pipes.
It was shown that the friction reduction is lower in curved pipe flows compared to straight pipe.
The experimental data was fitted by Casson model presented by the following equation [21, 22]: τ=τ0+2γη∞τ0γ.
Abubakar , Drag reduction with polymer mixtures in pipes of different diameters.
Sasmito , Pressure loss and friction factor in non-Newtonian mine paste backfill: modelling, loop test and mine field data, Powder technology. 344 (2019) 443-453

In these approaches, data analysis is a key issue.
Materials Description of the relevant data sets.
Data set 1.
Data set 2.
Calculations with simulated data.

The reduction product of PNP was identified through HPLC and UV-vis.
The effect of cosubstrate concentration and PNP loading rate on PNP reduction and reduction product formation was also included.
Results and discussion Effects of different external cosubstrates on PNP reduction and PAP formation External cosubstrates play an important role in PNP reduction process.
Furthermore, the peaks with retention time of 6 min in HPLC of effluent were identified as PAP (data not shown), further demonstrating that PAP was the dominant product of PNP reduction in UASB.
However, no further degradation of PAP was observed in UASB, even when HRT was extended to 24 h or longer (data not shown), indicating that PAP could not be degraded under anaerobic condition.

And the reduction factor is defined as the slope stability safety factor.
Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig. 2～Fig. 6.
Table 4 Stability calculations of high fill embankment with limit equilibrium method Section(m) YK123+910 +920 +940 +960 +970 +980 YK124+020 YK124+040 Minimum stability factor 1.373 1.321 1.316 1.316 1.318 1.378 1.325 1.392 3D FE analysis of stability of high embankment on rock slope Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig. 15～Fig. 16.
Table 8 Stability calculations of high fill embankment with limit equilibrium method Section(m) BK0+043 BK0+076 BK0+203 BK0+233 BK0+273 BK0+305 BK0+325 Minimum stability factor 1.467 1.464 1.291 1.535 1.502 1.487 1.521 D FE analysis of stability of High Rockfill Abrupt Slope Embankment Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig.19～Fig.20.
Slope stability analysis by strength reduction[J].

X-ray diffraction patterns of reaction products obtained by titanium thermal reduction method and carbothermic reduction.
Fig.4 shows the Ti4O7 sample obtained by carbothermic reduction.
The thermodynamic calculation data of titanium thermal and carbothermic reductions are compared, such as formula (1), (2).
As can be seen, the Ti4O7 powder from titanium thermal reduction is more homogenous, while that from carbothermic reduction already shows caking and micro-sintering.
Fig. 8 compares the representative cyclic voltammograms for carbothermic reduction Ti4O7 and titanium thermal reduction Ti4O7 film electrodes.

Data mining put more emphasis on discovering implicit knowledge in huge amounts of data and the scalability of the algorithm, and is a technology very close to the actual use, with high technical content, bigger implementation difficulty. 1.
The process of clustering: (1)Data preparation: including characteristics of standardization and dimension reduction
Description as follows: With N data points for a kind of {xi} (I = 1, 2...
[2] Boley D L．Principal direction divisive partitioning．Data Mining andKnowledge Discovery,1998，2(4)：325—344
(Eds．)Advances in Knowledge Discovery and Data Mining，AAAI Press／M IT Press，1996：95— 164 [4]Y.