1.
Classification and Forecasting in Data Mining and Its Application for Decision Support System;
数据挖掘中的分类和预测及其在决策支持系统中的应用研究
2.
Classification and Regression Tree (CART) for Prediction of Outcome after Severe Head Injury;
分类和回归树预测重型颅脑损伤的预后分析
3.
Hybrid Hypothes is Model Based on Combination of Cluster Analysis and Support Vector Machines
聚类分析和支持向量机相结合的混合预测模型
4.
THE RECOGNITION OF 27-CLASS PROTEIN FOLDS
蛋白质27类折叠子序列的特征分析和预测
5.
Stock Time Series Analysis and Prediction Based on Pattern Recognition and Classification
基于模式识别和分类的股市时间序列的分析和预测
6.
Prediction of Possibility and the Level of Rockburst Based on Uncertain Average Gradted Analysis Method
基于未确知均值分类理论的岩爆发生和分级预测方法
7.
Application Analysis on Classification Forecasting Using Binary Logistic Regression Model
二分Logistic模型在分类预测中的应用分析
8.
Prediction of China's Comprehensive Index and Sectorial Price Index of Major Commodities and Services during the Eleventh Five-year Plan
"十一五"时期我国主要价格指数预测——综合价格指数和分类价格指数的预测
9.
Experts on the future are divided into pessimists and optimists.
对未来发展进行预测的专家可分为悲观主义者和乐观主义者两类。
10.
Studies on Classification, Evaluation and Prediction of Soil-water Resource Supported by RS and GIS
遥感和地理信息系统支持的土水资源分类、评价与预测研究
11.
Using pseudo-amino acid and integration classifier to predict apoptosis protein subcellular localization
使用伪氨基酸和集成分类器预测凋谢蛋白亚细胞定位
12.
Estimation and Prediction of Solubility and Octanol-Water Partition Coefficients of Dioxin-Like Aromatic Halides
二噁英类卤代芳烃的溶解度和正辛醇/水分配系数的预测
13.
Human intuition and experience enter the calculations.
预测中加入了人类的直觉和经验。
14.
Fuzzy Classification and Activity Prediction for the Solar Active Region
太阳活动区的模糊分类与活动性预测
15.
Prediction of Interests of Web Users Based on Association Rule Classification;
基于关联规则分类的web用户兴趣预测
16.
Modeling and Forecasting of Different Types of Vehicle Population in Guangzhou;
广州市机动车分类保有量建模与预测
17.
Situation and Trend Prediction of Publication on Olympics in China;
奥运类图书出版形势分析与趋势预测
18.
Electricity Market Price Classification and Forecast Based on Hybrid Bayesian with Support Vector Machine Method;
基于混合贝叶斯SVM的电价分类与预测