PBWA: A Provenance‐Based What‐If Analysis Approach for Data Mining Processes

J Ke, H Dong, C Tan, Y Liang - Chinese Journal of Electronics, 2017 - Wiley Online Library
This paper presents a Provenance‐based what‐if analysis approach (PBWA) for data
mining processes, so decision makers can examine the latest mining result under …

数值型关联分析中连续属性的探索式分区方法

罗月童, 吴帅, 尹光源, 汪涛 - 计算机辅助设计与图形学学报, 2020 - jcad.cn
连续属性分区是数值型关联分析的核心问题与难点, 为此提出“先粗略分区并进行关联分析,
然后用户自由探索关联规则并给出分区建议, 进而根据建议进一步分区” 的迭代分区方法 …

Comparison analysis for classification algorithm in data mining and the study of model use

J Chen, D Zhang - Advances in Materials, Machinery …, 2018 - ui.adsabs.harvard.edu
As a key technique in data mining, classification algorithm was received extensive attention.
Through an experiment of classification algorithm in UCI data set, we gave a comparison …

Visualization of association rules based on a gray correlation analysis model

Z Zheng, J Guo, Y Fu, L Li, D Li - 2017 13th international …, 2017 - ieeexplore.ieee.org
Aiming at the limitations of the existing association rules visualization mining method in
dealing with the limitations of the frequent multi-feature data and the frequent patterns …

Exploratory Partition Method of Continuous Attributes in Quantitative Association Analysis

Y Luo, S Wu, G Yin, T Wang - Journal of Computer-Aided Design & …, 2020 - jcad.cn
Continuous attribute partitioning is the core problem and difficulty of numerical association
analysis. For this reason, an iterative partitioning method of “first rough partitioning and …

Association rules algorithm based on the intersection

X Chen, J Xiao - The Open Cybernetics & Systemics Journal, 2014 - benthamopen.com
Mining association rules in the database is one of important study in data mining research.
Traditional association rules consist of some redundant information, and need scan …

A novel combination recommendation method for solving sparse and cold start problems

G Xiaobo, Z Shuliang, N Dongpan, W Changbin… - JUSTC, 2015 - just.ustc.edu.cn
Considering the problems resulting from the traditional recommended approaches which
are powerless to address the well-known cold-start and data sparseness, and the fact that …