A non - hierarchical data analysis method by data mining

• 1. 用于经由分层调制发送分层及非分层数据的方法和装置 [P] . 中国专利： CN103763068B . 2017.05.17
• 2. 用于经由分层调制发送分层及非分层数据的方法和装置 [P] . 中国专利： CN102064914B . 2014.06.25
• 3. A non - hierarchical data analysis method by data mining [P] . 韩国专利： KR1020200080957A . 2020.07.07
• 4. Text mining system for analysis target data, a text mining method for analysis target data and a recording medium for recording analysis target data [P] . 美国专利： US8805853B2 . 2014-08-12

  机译： 用于分析目标数据的文本挖掘系统，用于分析目标数据的文本挖掘方法和用于记录分析目标数据的记录介质

• 5. DATA PROCESSING SYSTEM, COMPUTER READABLE MEDIUM, DATA MINING RESULT ANALYSIS METHOD, AND DATA MODEL PROCESSING METHOD (DATA MINING MODEL INTERPRETATION, OPTIMIZATION, AND CUSTOMIZATION USING STATISTICAL TECHNIQUE) [P] . 日本专利： JP2010146554A . 2010-07-01

  机译： 数据处理系统，计算机可读介质，数据挖掘结果分析方法和数据模型处理方法（使用统计技术对数据挖掘模型进行解释，优化和自定义）

• 1. A Digital Mixed Methods Research Design: Integrating Multimodal Analysis With Data Mining and Information Visualization for Big Data Analytics [J] . OHalloran Kay L., Tan Sabine, Duc-Son Pham, Journal of mixed methods research . 2018,第1期
• 2. Advances in research methods for information systems research: data mining, data envelopment analysis, value focused thinking [J] . R. S. Chang Computing reviews . 2014,第10期
• 3. Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests [J] . Jo?o Maroco, Dina Silva, Ana Rodrigues, BMC research notes . 2011,第1期
• 4. The Integraton of Graph-Based Knowledge Discovery with Image Segmentation Hierarchies for Data Analysis, Data Mining and Knowledge Discovery [C] . Tilton James C., Cook Diane J., Ketkar Nikhil International Geoscience Remote Sensing Symposium . 2008
• 5. Scaling the Technology Opportunity Analysis text data mining methodology: Data extraction, cleaning, online analytical processing analysis, and reporting of large multi-source datasets. [D] . George, Richard Peyton. 2006
• 6. Comparison of Data Mining Methods for the Signal Detection of Adverse Drug Events with a Hierarchical Structure in Postmarketing Surveillance [O] . Goeun Park, Heesun Jung, Seok-Jae Heo, 2020
• 7. Analysis of interactions between inflammatory and vasoregulatory pathways in chronic heart failure: application of logical analysis of data, a novel data-mining tool = Analysis of interactions between inflammatory and vasoregulatory pathways in chronic heart failure: application of logical analysis of data, a novel data-mining tool [O] . Prohászka Zoltán, Aladzsity István, Cervenak László, 2012

• 1. Analysis on the Applicability of Meter Data Acquisition Methods Based on the Analytic Hierarchy Process [J] . Yiqing YU . International Journal of Technology Management . 2015,第006期
• 2. A Comparison of Statistical Methods for Analyzing Discrete Hierarchical Data: A Case Study of Family Data on Alcohol Abuse [J] . Yuanyuan Liang ,Keumhee Chough Carriere . 统计学期刊（英文） . 2013,第4期
• 3. Classification and Prediction on Rural Property Mortgage Data with Three Data Mining Methods [J] . Kaixi Zhang ,Yingpeng Hu ,Yanghui Wu . 软件工程与应用（英文） . 2018,第7期
• 4. Medical Data Mining: the pilot of medical data analysis in the era of big data [J] . Xiong-Zhi Wu1 . TMR医学数据挖掘 . 2018,第001期
• 5. A Hierarchical Methodology for Performance Evaluation Based on Data Envelopment Analysis: The Case of Companies’ Competitiveness in an Economy [J] . Mohamed Dia ,Fouad Ben Abdelaziz . 美国运筹学期刊（英文） . 2011,第3期
• 6. 基于多层数据分析框架的半导体生产线加工周期预测方法 [C] . TANG Junya ,汤珺雅 ,LI Li . 2016年第四届全国现代制造集成技术学术会议 . -1
• 7. 结合可视化与数据挖掘的数据分析方法探究 [A] . 马昱欣 . 2017