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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