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Mining Supplemental Frequent Patterns
2008The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transaction database. With given minimum support (min_sup) and minimum share support (min_share_sup), each SFP includes a core frequent pattern (BFP) used to draw other frequent or ...
Yintian Liu +4 more
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Mining Common Patterns on Graphs
2005Finding common patterns is an important problem for several computer science subfields such as Machine Learning (ML) and Data Mining (DM). When we use graph-based representations, we need the Subgraph Isomorphism (SI) operation for finding common patterns.
Iván Olmos +2 more
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Mining Compressed Sequential Patterns
2006Current sequential pattern mining algorithms often produce a large number of patterns. It is difficult for a user to explore in so many patterns and get a global view of the patterns and the underlying data. In this paper, we examine the problem of how to compress a set of sequential patterns using only K SP-Features(Sequential Pattern Features).
Lei Chang +3 more
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Efficient approach of sliding window-based high average-utility pattern mining with list structures
Knowledge-Based Systems, 2022Chanhee Lee, Taewoong Ryu, Heonho Kim
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A Survey of Utility-Oriented Pattern Mining
IEEE Transactions on Knowledge and Data Engineering, 2021Wensheng Gan +2 more
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One scan based high average-utility pattern mining in static and dynamic databases
Future Generation Computer Systems, 2020Unil Yun +2 more
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Frequent pattern mining: current status and future directions
Data Mining and Knowledge Discovery, 2007Jiawei Han, Hong Cheng, Dong Xin
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Mining sequential patterns by pattern-growth: the PrefixSpan approach
IEEE Transactions on Knowledge and Data Engineering, 2004Jian Pei, Jiawei Han, Jianyong Wang
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Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys, 2013Carl H Mooney +2 more
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