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» Mining frequent item sets by opportunistic projection
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WISE
2006
Springer
14 years 1 months ago
PrefixTreeESpan: A Pattern Growth Algorithm for Mining Embedded Subtrees
Frequent embedded subtree pattern mining is an important data mining problem with broad applications. In this paper, we propose a novel embedded subtree mining algorithm, called Pr...
Lei Zou, Yansheng Lu, Huaming Zhang, Rong Hu
ECIR
2010
Springer
13 years 8 months ago
Aggregation of Multiple Judgments for Evaluating Ordered Lists
Abstract. Many tasks (e.g., search and summarization) result in an ordered list of items. In order to evaluate such an ordered list of items, we need to compare it with an ideal or...
Hyun Duk Kim, ChengXiang Zhai, Jiawei Han
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
14 years 8 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
JDCTA
2010
225views more  JDCTA 2010»
13 years 2 months ago
Multi-Level Weighted Sequential Pattern Mining Based on Prime Encoding
Encoding can express the hierarchical relationship in the area of mining the multi-level sequential pattern, up to now all the algorithms of which find frequent sequences just acc...
Yun Li, Lianglei Sun, Jiang Yin, Wenyan Bao, Mengy...
ECML
2007
Springer
14 years 1 months ago
Data Mining of Multi-categorized Data
At the International Research and Educational Institute for Integrated Medical Sciences (IREIIMS) project, we are collecting complete medical data sets to determine relationships b...
Akinori Abe, Norihiro Hagita, Michiko Furutani, Yo...