Data Mining and Knowledge Discovery （DATAMINE） - January 2004, issue 1 论文列表
| 点击这里查看 Data Mining and Knowledge Discovery 的JCR分区、影响因子等信息 |
| 卷期号： January 2004, issue 1 |
| 发布时间： |
| 卷期年份： 2004 |
| 卷期官网： https://link.springer.com/journal/10618/volumes-and-issues/8-1 |
本期论文列表
Editorial
Building an Association Rules Framework to Improve Product Assortment Decisions
Tree Structures for Mining Association Rules
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Editorial
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates
Fast and Robust General Purpose Clustering Algorithms
Ratio Selection for Classification Models
Communication-Efficient Distributed Mining of Association Rules
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
Pushing Convertible Constraints in Frequent Itemset Mining
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms