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The results correlate with the data of swelling of the cured binder.
Results and Discussion According to the obtained experimental data, heat treatment results in improved load-bearing capacity of the composite structures.
Table 1 Data of mechanical tests of FGRP.
The presented data were also confirmed by the study of swelling of the heat-treated samples (Fig. 3).
According to the data of the swelling curves, the increase of strength properties is a consequence of the process of post-curing of the polymeric binder.

At last, the method is applied to continuous data instances, and achieves a good effect.
The data from ref. [10] is a turbine fault diagnosis example.
Efficient discretization algorithm can reduce the size of data and improve the adaptability of data.
Compared with the method in ref. [9], this algorithm discrete continuous data from internal rules of data itself and achieves classification prediction on the data.
Breault: Data mining diabetic databases: are rough sets a useful addition?

To demonstrate its accuracy and usefulness, this paper compares the proposed algorithm with collaborative filtering algorithm using data from MovieLens.
Huang [7] comes up with dynamic programming method in a more extensive data set.
Problem Description and Similarity Calculation A recommender system mainly includes three types of data.
The definition of the corresponding data is as follows.
Numerical Results In the experimental stage, we use MovieLens data set to assess the performance of the improved recommendation algorithm based on graph model, including 1682 movies and 943 users.

The bag of words model has the characteristics of data sparse and high dimensional, which result in the reduction of algorithm performance.
FTC algorithm overcomes the obstacles of common clustering algorithms: high data dimension, data size and clustering description.
Therefore, it can reduce the data dimension, process mass data, and provide the description of clustering results.
Parse the data and delete stop words.
Introduction to Data Mining [M], 2011, pp.276-285

Material balance and fractional composition of liquid products cracking and reduction of sulfur containing in every component of it was established.
Resins 4.24 0.22 Asphaltenes 1.97 Trace amounts Distillate fractions content in initial gasoil and in cracking products was estimated based on data of thermogravimetric analysis.
Resins and asphaltenes, which were extracted from initial and after thermolysis heavy HC raw material, were developed by means of structural-group analysis (SGA) using method developed in the IPC SB RAS and based on compounding the results of elemental composition, average molecular weights and PMR spectrometry data.
The most deep resins molecules destruction occurs after vacuum gasoil oxidation pretreatment by PB and results in resins MW decrease (227 a. m. u.) at the same time significant reduction in the total rings number up to 2, almost entirely absent sulfur atoms (on average 0.14 atoms per molecule), in turn molecular aromatic factor increases to 77.99.

By spectrophotometric analysis it was possible to observe a significant reduction in oil concentration in the permeate for the Y zeolite membrane / alpha-alumina, thus showing that they have the potential for this application.
Characterization X-Ray Diffraction (XRD) - The data were collected from samples using the powder method employing a Shimadzu XRD-6000 diffractometer with CuKα radiation, voltage 40 kV, current of 30 mA, step size of 0.020 2θ and time per step of 1.000 s, with a scan rate of 2 °(2θ)/min with 2θ angle traversed from 0º to 50º.
From the data, presented in Fig. 3, it is possible to observe a decrease of 91.84% in the concentration of the permeate in the first 10 minutes of filtration 93.24% in 20 minutes, it remained virtually constant until the 40 minute filtration, taking into account the initial concentration .

Over time, the diffusion potential decreases due to a reduction in the carbon atom concentration gradient.
Constants in the equation (8) are as follows[8]: S0＝30.593ppm; D0＝2×10－6m2/s; Ea＝84100 J/mol; Es=100018 J/mol; R=8.315 J/mol K; dc-c＝1.44×10-10m From experiment data and the Fig. 3, the relationship between the diameters is: (9) Graph of CNTs’ growth rate and growth temperature can be obtained with above data and equation(8).

In order to research the effects of every factor of evaluation system of accounting, method of Data Envelopment Analysis (DEA) in operational research is suggested to evaluate the economic effectiveness of resources invested in developing nanomaterials.
The Data Envelopment Analysis (DEA) evaluates Decision Making Units (DMU) by using the mathematical programming pattern comparing relative efficiency between DMUs [3].
The necessary data for method of Data Envelopment Analysis (DEA) comes from the financial data chose carefully from accounting information.
Fig. 1 Flow chart of DEA method for accounting system of economical assessment Suggestion of System of Accounting Data for Models.
There are I kinds of input factors of accounting data and J kinds of outputs in every decision-making unit.

A set of data can make this clear.
The process does not need to re-traverse data. 2.
Data processing The paper uses data set which has 13 fields, and there are 1000 records.
Data preprocessing model is shown in Fig 1.
Fig.1 Data Pre-processing Model 2.

The peach samples pre-treated at 270 W for 90 s or 450 W for 30 s demonstrated a reduction in peach juice browning.
The data were processed by analysis of variance using DPS7.05 statistical software (Refine Information Tech.
The data were expressed as mean ± standard error (SE).
However, the reduction of ammonia nitrogen content suggested that the Maillard reaction proceeded and that the non-enzymatic browning of peach juice was accelerated[12].