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Mining sequential patterns for classification
Knowledge and Information Systems, 2015While a number of efficient sequential pattern mining algorithms were developed over the years, they can still take a long time and produce a huge number of patterns, many of which are redundant. These properties are especially frustrating when the goal of pattern mining is to find patterns for use as features in classification problems. In this paper,
Dmitriy Fradkin, Fabian Mörchen
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Mining Compressed Sequential Patterns
, 2006 Current 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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e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns
IEEE Transactions on Cybernetics, 2020Xiangjun Dong +2 more
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, 2011 This chapter introduces maximal sequential patterns, how to extract them, and some applications of maximal sequential patterns for document processing and web content mining. The main objective of this chapter is showing that maximal sequential patterns preserve document semantic, and therefore they could be a good alternative to the word and n-gram ...
René Arnulfo García-Hernández +2 more
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On efficiently mining high utility sequential patterns
Knowledge and Information Systems, 2016 High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Jun-Zhe Wang +2 more
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Sequential Patterns, Spatiotemporal
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017Yan Huang, Liqin Zhang
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A data mining approach to discovering reliable sequential patterns
Journal of Systems and Software, 2013 Sequential pattern mining is a data mining method for obtaining frequent sequential patterns in a sequential database. Conventional sequence data mining methods could be divided into two categories: Apriori-like methods and pattern growth methods.
Chichang Jou
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Mining sequential patterns of PM2.5 pollution between 338 cities in China.
Journal of Environmental Management, 2020Serious PM2.5 air pollution has persistently plagued and endangered most urban areas in China in recent years, and targeted policies are necessary to improve urban air quality ranging from macro policy (national level) to medium policy (city level) to ...
Lian-Kui Zhang +2 more
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Sequential Pattern Mining: Optimum Maximum Sequential Patterns and Consistent Sequential Patterns
2007 IEEE International Conference on Integration Technology, 2007The concepts of optimal maximum sequential pattern and the consistent sequential pattern are introduced to describe the wholesome characteristics of the sequential pattern mining problems. And a mathematical model and two algorithms are constructed to determine the optimal maximum sequential patterns and the consistent ones.
Xilu Wang, Weili Yao
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Self-Attentive Sequential Recommendation
Industrial Conference on Data Mining, 2018Sequential dynamics are a key feature of many modern recommender systems, which seek to capture the 'context' of users' activities on the basis of actions they have performed recently.
Wang-Cheng Kang, Julian McAuley
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