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Based on the investigation data of mercury (Hg) in bottom waters in Jiaozhou bay in 1979 to 1985 (in absence of 1984), this paper tried to analysis both of the settling processes and settling mechanisms of Hg.
Based on the investigation data of mercury (Hg) in bottom waters in Jiaozhou bay in 1979 to 1985 (in absence of 1984), this paper tried to analysis the both of the settling processes and settling mechanisms of Hg, and to provide basis for pollution control of Hg.
Data source.
The data was provided by North China Sea Environmental Monitoring Center.
Hence, the improvement of recycle rate and the emission reduction of Hg should be the major pollution control strategies in Jiaozhou Bay.

Study on the influence of key factors in Sichuan Province energy conservation that based on the fixed effect model Ce Chen1,a,*, Xingqi He2,b 1State Grid Sichuan Nanchong Power Supply Company, China 2State Grid Sichuan Electric Power Company, China achencezi@163.com, bhayes_goodman@hotmail.com Keywords: Energy saving and emission reduction; Panel data; Fixed effect model; Sichuan Province Abstract.
According to Sichuan Province 2006~2012 21 local power and energy consumption panel data, on the basis of the analysis of the electric consumption and energy consumption, the relationship between economic growth, unit GDP energy consumption and unit GDP electricity consumption, the relationship between the electricity consumption and energy consumption in the industry and the region, established analysis model of measurement of time individual fixed effects model.
In 2010, the unit GDP energy consumption did not fall but rise to the widening gap between the two to 6.33 percentage points, and the GDP electricity consumption elasticity coefficient is greater than 1, the historical data shows that the absolute disparity of Sichuan, energy consumption per unit GDP and unit GDP energy consumption fell by more than 5 percentage points is consistent with the objective reality.
Analysis of key factors affecting energy consumption Index selection and data processing.
[3] Wang Zhigang: The panel data model and its application in economic analysis (Economic Science Press, Beijing 2008).

Secondly, there are few effective measures to deal with noise data which results in redundant elements of the user attribute vector.
It can not only clean noise data, but also improve the efficiency of clustering algorithm.
Data filtering and data clearing Learning attributes acquiring High-dimensional learner-attribute matrix Data set discretization Attributes reduction Clusters of learners Database for learners K-means clustering Figure 1.
Kambr, Data Mining-Concepts and Techniques, Beijing: Higher Education Press, 2001
[5] Z.Pawlak, RoughSet-TheoreticalAspects of Reasoning about Data Dordrecht, Boston: Kulwer Academic Publishers, 1991

Moreover, data mining projects depend on the available data bases, while additional data sources may increase the derived knowledge [10].
These ideas are extendable by energy data measurements, besides process and quality data.
In particular, the data base consists of process and quality data, enriched by energy data measurements.
Here, three different data types are used to store energy, process and quality data: single data points, characteristic curves from processes and quality measurements, as well as energy data.
The reduction of the reaction time in assembly lines with huge amounts of data is a necessary step for companies to keep their competitiveness.

A discretization method of Continuous attributes based on rough set Tang Xiaokang1, a,Zhang Xuezhi1, a, Zouqiong1, a,Wei Youguo1, a, Cao Chengjun2, b 1Wuhan Mechanical Technology Colledge, Wuhan , China 268202 forces,Tianshui, China Keywords: The rough set ; Discretization; Conditional entropy; A decision table Abstract.when the rough set be used to deal with Knowledge representation system, the data in decision table should be expressed in discrete data, if some conditions or decision attribute is continuous value, which should be discrete Before process.Discretization is not specific data processing only by rough set theory , people have conducted extensive research on discretization problem before the rough set theory put forward , and Made a lot of progress ,but the discretization technique is can not be completely in common used in every subject, different areas have their own unique requirements and handling .This paper proposes a discretization algorithm based on regular
As a new mathematical tool, Rough set theory can effectively deal with the fuzzy and imprecise problems, mining and processing the data in the complex system information。
(4)Coding the breakpoint of condition attribute value after discretization by arabic numeral from small to large . 2.2example analysis Adopt example in reference [4] to experiment as shown in table 1, the example has 11 conditon attributes and 1 decision attribute, 21 groups data altogether.
data in table 1as the training sample , other 6 groups as test data, discrete the continuous attribute by the algorithm In this paper, obtain ,,the breakpoint number of every condition attribute which finally determined by the algorithm In this paper and the discretization results are shown in table 2, obtain the minimum reduction after reduce by the method adopt in reference: Table 2 The discretization results Condition attribute K Discretization interval 1 2 3 4 S1 0 [0.2,0.8] S2 2 [0,0.3) [0.3,0.6) [0.6,0.9] S3 0 [0,0.9] S4 1 [0.1,0.55) [0.55,1] S5 3 [0,0.25) [0.25,0.5) [0.5,0.75) [0.75,1] S6 0 [0,1] S7 3 [0,0.25) [0.25,0.5) [0.5,0.75) [0.75,1] S8 1 [0,0.45) [0.45,0.9] S9 3 [0,0.225) [0.225,0.45) [0.45,0.675) [0.675,0.9] S10 3 [0,0.25) [0.25,0.5) [0.5,0.75) [0.75,1] S11 1 [0,0.5) [0.5,1] Feedback information with decision attribute of entropy condition attribute which based on regular conditional entropy of continuous attribute discretization algorithm, can
Analysis on attribute reduction strategies of rough set[J].

A significant reduction in the wear volume can be observed for the transition to mixed lubrication which also correlates with the drop down of the COF.
In the boundary lubrication regime, a slight reduction in the COF for the micro-coined samples compared to the tested reference surfaces is visible.
Due to the fact that boundary lubrication is mainly dominated by solid-state contact, the reduction in the COF for the micro-coined surfaces can be traced back to a texture-induced reduction of the contact area.
For mixed and hydrodynamic lubrication, no significant differences between the micro-coined and reference samples can be seen due to data scattering and error bars.
Yamauchi et al, Effect of surface texturing on friction reduction between ceramic and steel materials under lubricated sliding contact.

Data warehousing, data mining, and online analysis and processing are all representative tools of business intelligence.
FCA is a data analysis method, in which the data is termed contexts and individuals with certain attributes and objects are termed concepts.
(2) Summarized data can be enhanced
(3) The data association can be improved
H., Building the Data Warehouse (John Whiley & Sons Publications, New York 1996)

LEAP model has outstanding advantages of settings structure of model and data format flexibly, due to its own characteristic and data availability, thus widely used in global, national, regional scale's energy strategy planning and GHS emissions evaluation researching.
But the data sources are wide, not readily available.
Data sources:《Jiangxi Statistical Yearbook 2010》. 2．3 Model parameters setting In LEAP model, it is to calculate the demand for various energy of the department, according to activity level and corresponding terminal energy intensity of demand sectors.
Considering data availability, and set 2009 as the benchmark period of the model
Therefore, Based on historical data of freight turnover, passenger turnover of transportation departments and GDP (Table 4) from 1990 to 2009 in Jiangxi province, the regression equation is established to predict future freight turnover and passenger turnover.

The differential speed ratio (1, 1.2 and 1.5) and rolling reduction (8% and 15%) were executed at room temperature.
The texture intensity of AZ31 sheets rolled by the large rolling reduction (15%) are larger than by the small rolling reduction (8%).
The detailed mechanical property data of the DSR-processed magnesium alloy specimens are shown in Fig. 5 From Fig. 4 and Fig. 5, it can be seen that the tensile strength and yield strength of specimens rolled 8% reduction by speed ratio 1.5 increase from 237MPa and 113MPa to 264MPa and152MPa.
Because when the rolling reduction increase, the area of deformation zone increase obviously, and the average deformation stress also increases with the increase of the rolling reduction.
When the rolling reduction is 15%, the deformation penetrated all the sheets, as shown in Fig.

Data Mining Data mining can discover new facts, rules or relations from the raw data [8].
(b) Data integration: combine various data sources.
(c) Data selection: find out data related to the subject from the database.
(e) Data mining: extract data models by the utilization of technology.
Table 1 By model first running results Item Count (P) Y=1 (A) Rate (A/P) $R-Y1 (B) Covered (C) Accuracy Rate(C/B) Covered Rate(C/A) Model 1 19562 487 2.5% 948 393 41.46% 80.70% Model 4 79 27 34.2% 32 26 81.25% 96.30% Model Adjustment Reduction of Processing Data Sets and Vacant Data In order to improve the coverage and accuracy ratio of the model, the first adjustment mainly aims to reduce the processing of data sets and vacant data.