The invention discloses a data mining method used for forecasting an MOCVD (Metal Organic Chemical Vapor Deposition) technical result. The data mining method comprises the steps of: combining and counting multiple operating records written in a logging table in an MOCVD technology; mining a ...
We present a method, which makes use of historical vehicle data and current vehicle observations in order to estimate 1) the route a vehicle has used and 2) the freight the vehicle carried along the estimated route. The method includes a learning phase and an estimation phase. In the learnin...
The literatures [1, 2] proposed a data analysis method combining data mining for information management in colleges and universities, but just for a particular business problem to put forward a basic solution of ideas, lack of technical solutions for overall business data analysis. At the same ti...
A method and apparatus for mining data relationships from an integrated database and data-mining system are disclosed. A set of frequent 1-itemsets is generated using a group-by query on data transactions. From these frequent 1-itemsets ... R Agrawal,S Sarawagi,S Thomas - US 被引量: 137...
For methods that take normalized data as input (scGAE, SAUCIE, PCA, Ivis, and PHATE), scTransform was used for data preprocessing. Each software was run following its manual and with default parameters. For SAUCIE, Ivis, and DCA, we first performed PCA to reduce the dimension to 100, ...
for particular applications [56]. Even now, the machine learning process is often coupled with the high-throughput calculations which generate a database for the machine learning method to extract useful information. New materials are explored via the data-mining method, which provides platforms of ...
Due to the small number of indicators and easy availability of quantitative data, a linear weighting method was used to calculate each supplier's score for simplicity, and the calculation process is as follows. Raw data processing Due to the different dimensions of the 3 criteria, normalization ...
In practice, Monte Carlo simulations and PDE methods are among the most commonly used methods for pricing discretely monitored options, since they are very easy to implement and thus are more cost effective than many other advanced and sophisticated techniques. Our goal is to design a method that...
The string method is an additionalnumerical techniquefor computing the transition pathway along the MEP. The biggest advantage to this method is that the path is constrained using parameters which can easily be changed. For example, the energy-weighted arc length can be used to increase the resolu...
With the rapid expansion of data, the problem of data imbalance has become increasingly prominent in the fields of medical treatment, finance, network, etc. And it is typically solved using the oversampling method. However, most existing oversampling met