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The analysis of the water-salt balance data in the Bolshoi Tambukan lake within the period 1972-2015 is performed.
Methodology In this work we analyzed the data of the lake water-salt balance from 1972 till 2015, we have carried out recession analysis of the collected data, which fragments are presented in the Table 1.
Morphological parameters year 1973 1978 1984 1989 2004 2008 Water volume (million m3) 0.71 1.56 3.15 4.83 8.58 9.31 Average-annual value of mineralization (g/l) 78 50 43 29 28 27 1 – experimental data, 2 – theoretical calculations.
The curves on the picture are fixed according to the collected data and with the help of the statement (1).
Month and annual precipitations on the lake flat water are measured according to the observation data at the Tambukan meteorological station, located on the north-eastern side of the lake.

Generating numerous amount of data this data stored somewhere else Devices to Big Data.
We need real-time data analysis platforms for handling this big data.
Moreover, many data streams from different data sources may form a mixture of the data types it may be incompatible.
We are peer consideration and applying the energy reduction and constant maintenance of the response time.
Data Min.

Table 1 The level code table of closed type CWR shaft end concavity affect factors The Influence Rules of Forming Angle on the End Quality in Closed CWR According to the statistical data, it has drawn the chart about the depth values of concavity related to the variation of forming angle as shown in the Figure 4.From the figure,it is obvious that the depth values of concavity decrease along with the increasing of forming angles,when the forming angle is 20°,the depth value decreases by 6.94% which is not enough great.
Fig.4 The length of concavity along with the change of forming angle α β=5° （b）ψ=50% （c）D=40mm The Influence Rules of Broadening Angle on the End Quality in Closed CWR Writer has obtained the depth values of concavity under the influence of different broadening angles by simulation[5].According to the statistical data, it has drawn the chart about the depth values of concavity related to the variation of broadening angle as shown in the Figure 5.From the figure,it is obvious that the depth values of concavity decrease along with the increasing of broadening angle,when the broadening angle is 4°，the length of concavity is 7.96mm，while the broadening angle is 8°，the depth value decreases by 13.44%.
Fig.5 The length of concavity along with the change of broadening angle β (a) α=26° （b）ψ=50% （c）D=40mm The Influence Rules of Are's Reduction on the End Quality in Closed CWR Writer has obtained the length values of concavity under the influence of different reduction of area by simulation[5].According to the statistical data, it has drawn the chart about the depth values of concavity related to the variation of reduction of area as shown in the Figure 6.
From the figure,it is obvious that when the reduction of area ψ is varying from 30% to 40%,the length of concavity becomes larger along with the reduction of area ψ increasing.When the reduction of area ψ is varying from 50% to 70%,the length of concavity becomes larger along with the reduction of area ψ decreasing.And when the reduction of area is 40%,the length of concavity is the maximum as 7.81mm,while the reduction of area is 30%,the length of concavity decreases by 17.67%.
However,the inner metal in the end of shaft is going to reduce under the influence of reduction of area being larger,as a result,the radial compression which is acted on the surface of shaft's end is becoming smaller and smaller,then the displacement between surficial metal and inner metal is going to be smaller and smaller.[6] Fig.6 The concavity along with reduction of area ψ (a)α=26° （b）β=5° （c）D=40mm The Influence Rules of Billet Diameter on the End Quality in Closed CWR Writer has obtained the length values of concavity under the influence of billet diameter by simulation[5].According to the statistical data, it has drawn the chart about the depth values of concavity related to the variation of reduction of area as shown in the Figure 7.

Finite Element Model updating for Damage Localisation and Quantification using Experimental Modal Data A.
The identified experimental modal data (eigenvalues and mode shapes) serve to update the underlying finite element model.
Young's modulus, cross-sec- tional heights) in such a way that the differences of the analytical modal data with respect to the identified experimental modal data are minimised.
In general, the eigenfrequencies are determined more precisely than the mode shapes and the modal data associated with the lower eigenfrequencies ("slow" modal data) are more accurate than the "fast" ones.
An eigenvalue decomposition of the lower left sub-matrix ( SM 1− − ) yields the undamped modal data.

Reduction of density of 4H-SiC / SiO2 interface traps by pre-oxidation phosphorus implantation T.
The density of interface traps Dit and the energy position in the bandgap Ec-Eit were evaluated by manual fitting of theoretical curves to the experimental C-V and G/ω-V data, taken at the various frequencies and temperatures [8] (Fig. 2).
From the fit to experimental data, the density of interface traps Dit, energy position Ec-Eit and capture cross-section s are obtained.
Only in the case of phosphorus originally implanted below the interface (EP = 35 keV), a reduction of Dit is observed.
A significant reduction of Dit is observed after P implantation at 35 keV with a dose of 3.0 ∙ 1013 cm-2.

As the data source of data mining, the data must be huge, contains noise, fuzzy and incomplete.
But in general, data mining includes what the next few process [4]: Data Preparation: the data which data mining will be deal with from different data sources, and it has large volumes of data, complex structure, which mixed with the vacancy data, noise data and redundant data.
Data selection: some of the data in the data source doesn't make any sense to build model and discover patterns.
Data mining: using a variety of data mining methods to analyze the related data.
And studies have shown that when a 5% reduction in the loss of customers, the average value of each customer can increase by more than 25% -100% [9].

Indonesia marine accidents data.
The qualitative method is started by classifying the generic task based on the accidents data report.
After classifying the generic tasks of each data reports, the next qualitative method is assigning the Error Producing Conditions (EPC) for each data report of accidents.
There are several data which already obtained, the generic task, EPC and Human error probability.
Furthermore, based on the records of marine accidents data, the working environment where the accidents occurred was poor.

According to reduction of matrix frequent k-itemsets is generated.
Fig. 4 Frequent itemsets matrix after reduction Item Programming 0 0 0 3 0 0 4 3 0 0 4 0 3 0 0 Mathematics Data Structure Principles of Database Mathematics Programming Data Structure Literature {Mathematics,Data Structure}=>{Programming} {Programming, Data Structure}=>{Mathematics} Confidence 67% 67% Interest 0.75 1 1.2 50% association rules {Mathematics, Programming}=>{Data Structure} Summary, the frequent itemsets L3 is obtained by the improved algorithm.
The first rule is {Mathematics, Programming}=>{Data Structure},confidence is 67%,interest is 1,which shows {Mathematics, Programming} and {Data Structure} independent of each other.
Finally, improved algorithm is used to deal with book lending data.
Data mining:concepts and technologies.3rd ed.

Energy conservation and carbon dioxide reduction can form a new economic growth industry.
Introduction Carbon dioxide emission reduction is a big problem for most countries including China.
Comparison of carbon dioxide emissions in China, USA and other countries According to data released by website of Energy Information Administratio（http://www.eia.doe.gov) , the world’s carbon dioxide emissions have been increasing by 64.09% from 185.12 million tons in 1980 to 303.77 million tons in 2008.
Cointegrated analysis of relation between carbon dioxide emissions and GDP Data The data of carbon dioxide emission is from the website of http://www.eia.doe.gov released by Energy Information Administration.
The annual data of economic growth is represented by real GDP at a constant price of 1980 obtained from the China statistical Yearbook the corresponding year and from Statistics of Fifty-five Years in New China (2004).The variables’ notations and definitions are as follows: : Carbon dioxide emission in million tons

Yet several investigations show the viscosity of melt decreases with the reduction of micro channel characteristic size, but there has been no sufficient experimental data for the conclusion.
The inadequacy might be attributed to the rheological data used in the current simulation packages which are obtained from measurements of macroscopic scale.
Although there is some evidence indicating that the polymer melt flows in micro channels differ from those in macro geometries and the viscosity of melt decreases with the reduction of micro channel characteristic size, there has been no sufficient experimental data for the conclusion till now.
The results indicated that the viscosity of polymer melt flowing through micro channel increases with the reduction of characteristic size of micro channel.
For Non-Newtonian fluids, two corrections are commonly applied to capillary data to obtain the correct viscosity of polymeric fluids.