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Partially missing or blurring attribute values make data become incomplete during collecting data.
First algorithm divided the data set into a complete data set and non complete data set, and then the complete data set was clustered using the affinity propagation clustering algorithm, incomplete data according to the design method of the similarity metric is divided into the corresponding cluster.
Introduction Clustering analysis is an important method in data mining field, when clustering incomplete data, due to the presence of missing data, the clustering result is obviously reduced.
The intuition of these strategies is discarding missing data, only clustering the complete data.
Zhang, "Novel algorithm for filling incomplete data of internet of things based on attribute reduction,” Computer Engineering and Design, vol. 34, no. 2, pp. 418-422, 2013

The reburning was demonstrated as an NOx reduction method which could achieve more than 50% reduction of NO.
All experimental data were collected after the thermal condition inside furnace reached its steady state.
When the frequency is 4Hz, the NOx reduction rate becomes maximized.
It shows 41% NOx reduction while the NOx reduction rate of fuel lean reburing(FLR) method is 34%.
The NOx reduction rate is about 38% when the duty ratio was 0.5 or 0.33, and promoted 4% of NOx reduction efficiency.

This agreement is a strong argument for the consistency of the simulation and the data reduction scheme.
This agreement is a strong argument for the consistency of the simulation and the data reduction scheme.
The data reduction with the essential work method does not work in this case, as Fig. 7 shows.
Therefore, these two points are not used for data reduction even though they lie on the regression line.
The data reduction of these curves results in Fig. 8.

The high volume of data resulting from these observations presents many challenges, particularly in the areas of data transmission, data storage and assimilation [4].
Suppose our dataset consists of l spectra of n radiances into an l by n data matrix R.
All the channels are completely clear data and none of the eigenvectors correspond to cloud signals.
Performance tests indicate that the WRF 4D-Var minimization requires 21% less computer resources (elapsed CPU time) when 20 PC scores are used instead of 119 AIRS radiance-achieving an 6 fold reduction in data volume and 21% reduction in the overall cost of assimilation.
The assimilation of AIRS radiance data at ECMWF.

Unfortunately, in data management scenarios today it is rarely the case that all the data can be fit nicely into a conventional relational DBMS, or into any other single data model or system.
Most data management scenarios today rarely have a situation in which all the data can be not nicely into a conventional relational DBMS, or into any other single data model or system.
Unfortunately, in data management scenarios today it is rarely the case that all the data can be fit nicely into a conventional relational DBMS, or into any other single data model or system.
The data space is a collection of data[2] which is associated with the main body and its relationship to the body, all of the data in the data space can be controlled.
Therefore according to uncertain data, lots of data model and data management system are proposed such as TRIO, MayBMS and MystiQ and so on.

Experimental data from published literature was adopted to validate the present models.
The experimental data was from Ref. [6].
The NO formation could reasonably agree with the test data when the NO full mechanism was used.
However, if the reburning mechanism was not considered in the simulation, the calculated NO was much more than the experimental data.
The numerical results were a little smaller than experimental data.

From UV-Vis spectroscopy we observe that the absorbance of rGO decreased as increasing the reduction temperature because the higher reduction temperature yields a high degree of rGO defect.
One of the molecules that can be used as reduction agent is hydrazine [12], in which the temperature FOR the reduction takes place is becoming one of the important parameters to obtain reduced graphene oxide with high quality.
By using UV-Vis absorbances data, we could calculate optical constant (refractive index real and imaginary part) of rGO by using a number of Maxwell equation and Kramers-Kronig relation.
Then we have compared the calculation result with other data which have done by other people with other methods.
Increasing the reduction temperature will decrease the CO bonding in rGO plane [15].

Sprecher Benjamin et al [21] investigated the environmental impact of NdFeB recycling, but assumed laboratory-scale data.
Research Data.
The data on the calcium reduction process are from the Institute of Materials Engineering, Beijing University of Technology, and all the experimental equipment used were factory pilot-scale equipment, with the same process parameters and energy consumption as the equipment used in industry, and the experimental data on calcium reduction is consistent with the data on hydrometallurgical method. or close to it.
Background data, including energy production, were obtained from the database of the National Engineering Research Institute for Industrial Big Data Application Technology (CNMLCA) of Beijing University of Science and Technology (CNMLCA, 2013).
SimaPro software is used for life cycle modeling, data processing and analysis of the two processes.

But there is no decision attribute in data Table 1 thus making it cannot do supervised learning and then the classification algorithm does not directly apply.
In data Table 1, most experts in this field would take the attribute of urgency as first and for most, also give it maximum value when determining its weight.
So you can get such a loading priority evaluation data sheet as Table 1.
Conclusion This paper firstly analyzed the shortcomings of the loading priority evaluation using the AHP and proposed a kind of algorithm of property weight evaluation based on PRSIM classification by using data mining classification and attribute reduction technique, combing expertise and characteristics of the objective data itself together, with a load instance set as algorithm example set and the priority evaluation carried out.
Data Mining: Practical Machine Learning Tools and Techniques (2nd edition) [M].

The BOSCH BEA-350 exhaust gas analyzer was used to record the data of all exhaust gas emissions.
Test data were generated under full throttle position for different engine speeds (1000, 1500, 2000, 2500, 3000, 3500 and 4000 rpm).
The reason for the reduction of engine power and increase in BSFC are possibly due to slight reduction of cylinder pressure as well as lower heating value of biodiesel.
Impacts of biodiesel combustion on NOx emissions and their reduction approaches.
NOx reduction from biodiesel fuels.