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The reduction is characterised based on thermogravimetry graphs.
The research found that the reduction of iron ore occurs in some stages.
The hydroxylation is followed by reduction.
The data are procceed for obtaining differential thermogravimetry curves.
This formation affects to higher reduction degree of pellet [6].

One of the modern methods of in-depth data analysis is the process of data mining which forms one stage in a complex process of knowledge discovery in the databases known as the concept of KDD (Knowledge Discovery in Database).
Data mining methods in structural identification In the process of structural identification, we can define the main fields of problems, which are the identification of structural relations, reduction of the system recognition level, and significance analysis of input and output variables.
In primary analyses of extensive databases, the methods for neural networks have proved to be a very powerful tool for data processing.
The main task of this type of neural networks is to reveal spatial representation of complex data structures.
The data mining methods provide large opportunities for data collection and representation, offering suitable techniques to retrieve the knowledge about mutual data dependencies, which can be used in the identification process of complex dynamic systems.

Considering the urban internal environment, a higher request is put forward on vibration and noise reduction.
Establishing the rail model based on these date and calculating the critical temperature that make the lateral instability of the rail Background As the development of modern society, the shortage of resources and environmental problems have gradually become the key factors that restricting economic and social development .Therefore,the problem of how to utilize the recyclling waste material rationally has become a hot issue.The data shows that the waste tires has reached hundreds of millions of tons over the world each year and is increasing at a rapid pace.
Research on the noise reduction performance of new granular material The test aims to get the noise attenuation of the rail when add new particle damping materials under different vertical excitation.While the new particles is gained from the waste tires.The size of the particle is 3mm and 5mm,which is getted by special process.The vertical excitation is imitated by a hammer with a cetrain quality.In the test,the hammer is free dropped from different height.In order to obtain a more accurate test data,the drop height of free fall respectively take 20cm,40cm and 60cm and the receiving signals of acoustic sensors are layed around the source radius of 60cm,120cm and 180cm,as is shown in fig.1.
(2)The noise reduction value will be reduced as the increase of the distance between the sites and vibration source
Reaserch about Wheel-rail Noise Reduction Technology on speedup train[J].Noise and Vibration Control, 2007,27(1):68-73.

Data mining method based on rough set theory and BP neural network is put up.
At last, the mining data by the experimental data of the troops marching warfare simulation system and the result with the actual reference value is obtained. 1 Introduction Essence of modern warfare simulation system is an information processing system whose core depends on the model and data.
Its process contains calling, disposing and transmitting data constantly.
In this paper, for the simulation system data, based on the analysis of military data characteristics, research data classification, sources as well as the formation process, preliminary exploration is made using BP neural networks and rough set in simulation data mining.
The firing drill result data of troops traveling are simulated and analyzed.

Hope to get the concave bionic needle which has the best drag reduction effect.
Fig.2 The test device of syringe needle puncture drag test In Fig.2: a -- Setting mechanism of fixture, b – Fixture of simulation skin, c – Simulation skin, d – Syringe needle, e – Transmitter with the pressure measuring element, f –Measuring amplifier, g –Data processing and display unit.
In another word, the bionic needles had drag reduction effects.
The drag reduction mechanism is the same.
Conclusions 1) The concave bionic needles have drag reduction effect.

Graphene oxide (GO) reduction is a promising way for graphene large scale synthesis.
That is mainly accomplished by reduction.
The reduction of both samples was done using cobalt ion assisted reduction with NaBH4.
Data were collected with Agilent 34970A data logger.
Ajayan, “New insights into the structure and reduction of graphite oxide.,” Nat.

The reduction of WO3 by Al powder is investigated thermodynamically.
The influences of water, ambient air on the reduction of WO3 were also studied.
During the reduction of WO3, the incomplete reduction should be considered.
Fig. 2 gives the calculation results of the incomplete reduction of WO3.
Hu, Handbook on the thermodynamic data of inorganic materials (2nd edition); Metallurgy Industrial Publishing House, Beijing, China, 2002

The reduction performance were examined up to 700°C and reduction was continued for 60 min at 700°C in a stream of 20 vol. % CO in nitrogen.
Temperature-programmed reduction (TPR) method was used to analyse the completeness of catalyst reduction.
The standard diffraction data (JCPDS) file was referred to identify the crystalline phase composition of recorded diffraction patterns.
The TPR profile signified with two reduction stages for reduction MoO3 to MoO2, in which Stage I signified by peak showed at early reduction step of MoO3 to Mo4O11 species.
Meanwhile, the addition of zirconia to MoO3 has a significant influence in the reduction behaviour of MoO3 catalyst by delaying the reduction process.

In this paper, a marketing data mart is constructed and isolates the business data and analysis data based on the customer and transaction of a large supermarket.
Based on the data mart, using data mining technology, the description model and predictive model of customer classification were constructed.
The first part is the supermarket customer and transaction data, it provides original data for the model; The second part will process the data of the first layer, load the data to data mart focusing on customer data, then on the basis of data mart, with technology as the core of data mining based on RS, store the analysis of the results in the classification model library, The third part predicts classification for new customers through the model library.
The following data mining steps are based on RS: (1) Data pretreatment (2) Attribute selection with reduction algorithm (3) Generating rules.
The structure system of customer classification model based on Rough Set According to the customer data in the database and sales data, one of 15 customer historical data is selected as test data sets through data cleaning.

The system first pre-treats those collected data, regulates data and builds concept lattice using the minimal set of attributes which are obtained by attribute reduction.
There are discrete data and continuous data in network data.
Network Intrusion Data Intrusion Behavior Data Data Collection And Format Conversion Data Preprocessing Intrusion Detector Data Preprocessing System Alarm Intrusion Detector Data Preprocessing Attribute Selection And Reduction Establishing Concept Lattice and Producing Classification Rules Rule Reduction Intrusion Detector Data Preprocessing Rule Base Fig.1 Intrusion Detection Model Based on Concept Lattice Intrusion Detection Algorithm based on the Concept Lattice According to the intrusion detection model, the implementation algorithm consists of two parts: the generating intrusion detection classification rules algorithm and the perfecting intrusion detection rules model algorithm.
KDD Cup 1999 includes all kinds of normal data and attacking data.
And attribute reduction deletes redundant information in feature data and effectively reduces the problem dimension.