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Predictive modelling is a statistical approach using data mining and machine learning based on historical and current data to predict likely future performance [1].
The models were trained on randomly selected 80% of the actual data while 20% of the actual data (the hold –out data) was used to validate the model.
Thereafter, the predicted data was then correlated against both 80% and 20% of the actual data to validate each of the models.
Model 2 Output plot of hold-out data Output plot for training data Predicted MOR 3 Experimental MOR Experimental MOR Predicted MOR 3 Fig. 6.
Towards Data Science.

Yuming Zhang and Kai Li(2007)[2]applied exploratory data analysis to the data of innovation output of 31 Chinese provinces and showed that the spatial distribution of regional innovation output is not a random process.
The Explanation of Indicators Design and Data Resource Explanation of Indicators.
Data Rescource.
Analytical Approach and Model Construction Exploratory Data Analysis.
[8] Yongze Yu,“Innovation Cluster, Government Support and the Technological Innovation Efficiency: Based on Spatial Econometrics of Panel Data with Provincial Data”, Economic Review, 2011 (2), pp93-101

Data cannot be shared between marketing system of electricity, heat, and gas, and this formed an "information island".
Fig.2 Integrated big marketing information platform application architecture diagram The Main Function of the Marketing System As shown in Fig 3. 1）Establish enterprise data center, centralized storage of the business system data.
The data of the stock company, such as the power supply, heat supply and gas supply enterprise unified data stored in the data center, and no longer set up database server, reducing transit links.
Marketing analysis and auxiliary decision system based on "the data concentration, applied concentrated" integrated marketing information system platform as the foundation, construction group data center in the high-end application to electricity, heat, gas and so on various subordinate enterprise marketing related business data as the foundation, relying on the subordinate enterprise database, construct marketing auxiliary decision analysis center data warehouse, realize on-line analytical processing, the marketing auxiliary decision analysis work of digital management.
Through the integration platform of the data exchange platform to realize each business system marketing data longitudinal through.

This is driving a shift towards better systems of data storage and sharing.
Local Councils were also contacted and interviewed to determine how they transmit post-construction engineering data.
It is therefore in the technical community’s best interest to maintain that data.
Autodesk uses the BIM and GIS data as inputs into the relevant engineering standards to calculate design loads.
The result is data liberated from its wasteful storage on company servers, and a net reduction in the amount of data reproduced needlessly.

The temporal and spatial distribution analysis on the source of traffic noise pollution in Harbin was carried out according to the monitoring datum.
It was proved that serried mixed lofty and laigh green fense manifested the best noise reduction performance.
In order to ensure the monitoring data accuracy and representation, it should be measured in no rain, no snow weather conditions, and the wind speed is not more than 5.5m/s.

Recent studies about climate change are mandating a drastic reduction of GreenHouse Gas (GHG) emissions.
Yao et al. [6] establish a set of electricity consumption rate models and gasoline consumption rate models with instantaneous speed and acceleration as input parameters to explore the relationship between the EV penetration and the reduction of power consumption.
NSC 100-2218-E-008-012-MY3 and NSC 102-2221-E-008-039-MY3) References [1] United States Environment Protection Agency, Sources of Greenhouse Gas Emissions[oneline],Available at: http://www.epa.gov/(Accessed 21 April 2014) [2] Smart Grid Insifhts, Global Electric Vehicle Forecast 2013 – 2021, Available at: http://smartgridinsights.com/market-data/global-electric-vehicle-forecast-2013-2021/(Accessed 21 April 2014) [3] Daniel Knutsen, Oscar Willen: A study of electric vehicle charging patterns and range anxiety, UPPSALA UNIVERSITET, 2013

Data analysis for surface finish Factors Effect Consideration.
It is demonstrated above that ANOVA assumptions are not violated as far as the data gained in this study are concerned.
This analysis uses the least square method to fit a model to the experimental data.
R-Sq and R-Sq (adj) presented, imply that the model fits the data well.
Regression analysis is performed to fit a polynomial to the data.

Therefore a reduction of weight in particular in the body in white could be achieved.
In order to increase the accuracy in the analysis of the acquired data, several stage points are taken in correspondence of the previously identified uniform temperature zone of the specimen.
For an efficient handling of the data a visual basic macro-function was programmed.
The onset of necking was detected by evaluating the force displacement data given by the performed tensile test.
For a strain rate of 1 s-1 a reduction of the coefficient from 0.55 ± 0.05 to 0.45 ± 0.04 was obtained.

The XRD results data is processed using X'Pert High Score Plus software that is installed in the instrument and matches to JCPDS 00-49-0207 reference numbers for the LTO spinel phase and (JCPDS 01-076-0318) for TiO2 rutile [7].
Oxygen on silicon nano-particles maping by EDX testing In the Table 1 and Fig. 5, the results of EDX testing are displayed and these data show the presence of oxygen element in the nano silicon powder.
The data from the atomic percent indicates the presence of oxygen element with the percentage of 40.26%.
The XRD results data was processed using X'Pert High Score Plus program.
The data shows a high crystallinity of the silicon by the high intensity peak that is formed.

Experimental data collected during this investigation were used for subsequent modeling.
After cooling down to room temperature samples were cold rolled to 70% thickness reduction.