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Formal concept analysis (FCA) was originally proposed by Wille (1982), which is an important theory for data analysis and knowledge discovery.
By a(x) we denote a data pattern (a1(x), …, an(x)) defined by the object x and attributes from A = {a1, …, an}.
A data pattern of IS is any feature value vector v = (v1, …, vn) where vi  Vai for i = 1, …, n such that v = a(x) for some x  U [4].
In our approach, individual traces are the data points that the FCA algorithm uses for learning.
[4] Petko Valtchev, Rokia Missaoui, Robert Godin: Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges[C].

Check the data.
Check data integrity, for example, the integral correlation data, the correct amount of data.
The amount of the source data is equal to the theoretical quantity of data and a washing out of the processing data.
Compare the data.
A large reduction is in the test cycle with the use of automated tool in data comparison, while it can improve the coverage of test data, and even up to 100% coverage, reduce the technical requirements for testers, and the staff freed from the single and complex work.

Furthermore, using the energy-normalised PM mass emission data from different types of wood combustion appliances PM reduction scenarios will be assessed with the goal of a sustainable use of wood or wood-based fuels.
With the biomass impact data on rural air quality in Austria, technology based reduction scenarios of PM will be derived in order to reduce the impact of biomass smoke on atmospheric PM10 levels.
Since biomass smoke emissions are predominantly in the “fine” size range, the data can be used also for predictionsof reductions of PM2.5 levels [10].
The energy-normalised PM10/PM2.5 emission data of different wood combustion appliances PM are important numbers to run reduction scenarios for wood or wood-based fuels.
Evaluation and discussion of data.

The methods of reduction modification and current modification are commonly used to the inconsistent MRS in domestic, the modified runoff series will be used to water resources assessment as the basic data, but the methods that used to estimate the consistency of Reduction Runoff Series (RRS) and Current Runoff Series (CRS) is subjective to some extent.
Reduction modification method mainly calculates the variation of surface water resources quantity that influenced by the utilization of human above the certain hydrological station, and the modified runoff series could be named Reduction Runoff Series (RRS).
The statistical regulations, such as the distribution style and parameters (Cv, Cs etc.), are consistent with no alteration in the time scale of the hydrological series and the hydrological data fluctuates in random based on the mean value.
Conclusions Given the importance of MRS/RRS/CRS to the regional water resources assessment and hydraulic engineering design, aim at the subjective and rigorous consistency assessment methods present, with the data of Huayuankou station from 1956 to 2000, the Hydrological Alteration Diagnosis System was used to estimate the consistency of runoff series, with the Hurst coefficient and alteration degree, the inconsistency modification effect of RRS/CRS was analyzed too.
Application of R/S method on the runoff reduction and prediction, Yangtze River, 39 (2008) 42-44.

ECG interference has a great influence on the ECG data analysis.
(a) wavelet decomposition (b) wavelet reconstruction Algorithm Testing Algorithm Testing using Simulated Data.
Experiments using simulated data were performed so that the proposed algorithms could be tested in an absolutely controlled environment.
Selected ECG data from MIT-BIH arrhythmia database were used to evaluate the performance of the proposed algorithm.
The performance of the proposed algorithm for signal conditioning was evaluated by using simulated signals and clinically acquired ECG data from a standard set.

Its profile control, heavy oil viscosity reduction and cleanup functions can be widely used in heavy oil thermal recovery, better than the N2 gas.
MG-solid air source huff-puff technique can reach the effect of profile control, viscosity reduction, cleanup measures, to improve the recovery.
Effects of MG solubility on heavy oil viscosity reduction rate and recovery.
The viscosity reduction order is MG＞CH4＞N2.
Table 3 The enhanced recovery efficiency data comparison of MG, CH4, N2 Gas MG CH4 N2 The enhanced recovery efficiency % 12.1 7.6 2.8 From Table 3, Effect of MG gas for improving recovery efficiency is better than CH4 and N2, so the order of MG, CH4 and N2 formed formy oil to improve recovery is MG＞CH4＞N2.

In addition, oxidized pellets are also dominant burden for pre-reduction shaft furnace of COREX process and direct reduction shaft furnace of HYL and MIDREX process.
Finally, more emphasis are put on studying the effects of B-Mg additive on reduction swelling and the strength after reduction and cooling of the above pellets and making the detailed mechanism analysis.
Table 2 lists out the experiment datas of green balls properties under adding the different amount of B-Mg additive.
Fig. 4 shows the effects of adding B-Mg additive on reduction swelling index (RSI) and the strength of pellets (roasted under 1220 ˚C) after reduction and cooling.
On the other hand, after adding B-Mg additive, the increasing of binding phase amount benefits to overcome the phase-change stress during the reduction, which further decreases the reduction swelling [6].

In this paper, the energy loss indicators reduction analysis method is proposed based on rough sets theory using the SIS data of power plant.
Data qcquisition should be prior to reduction while the completeness of the data shoulb be ensured.
To discretization the data.
Reduction.
These data are used as the original data to operate the energy loss indicators rough set analysis.

The analysis of voltammetric data showed that palladium electrodeposition is controlled by mass transfer.
Figure 4 shows a comparison of an experimental current transient with a theoretical transient generated by non-linear fitting of experimental data to Eq. (2).
Comparison of an experimental current density transient (—) recorded during the palladium electrodeposition at -0.540 V in the HOPG/0.001M PdCl2 + 1 M NH4Cl system and a theoretical transient (red line) obtained by non-linear fitting to Eq. 2 of the experimental data.
Potential dependence for the nucleation rate parameter obtained from the nonlinear fit of the experimental data depicted in Figure 3 to equation (2).
These peaks were associated with the palladium reduction from two predominant palladium complexes.

Installed capacity of China’s coal-fired generation technologies Data source: IEA 2011b[9] 2.2 Scenarios for China developed in past studies 2.2.1 Low carbon scenarios for the Chinese electricity sector As lowering carbon emissions has become an increasing concern worldwide, more and more research is being conducted to forecast Chinese emission trends.
CO2 emissions in China: historic data and projections Data source: IEA (2011a)[12] In the IEA projection in Figure 4, we can see that the electricity sector is expected to reduce CO2 emissions from 5339 Mt in the current policies scenario to 4278 Mt CO2 in the low carbon scenario, which means that annual CO2 emissions should be reduced by 1061 Mt by 2030. 2.2.2 Previous work on clean coal scenarios in China We reviewed four articles that forecast future scenarios based on existing coal-fired technology.
Figure 5 Technology structure in different clean coal scenarios in the literature Data source: Yu, F., J.
The data are based on information from 2000.
[9] IEA "OECD – Coal balances", IEA Coal Information Statistics (database).doi: 10.1787/data-00552-en (Accessed on 5 June 2012)