New approaches for mining regular high utility sequential patterns
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02536-7
Abstract: Regular pattern mining has been emerged as one of the promising sub-domains of data mining by discovering patterns with regular occurrences throughout a complete database. In contrast, utility-based pattern mining considers non-binary frequencies of items… read more here.
Keywords: regular high; mining; utility; high utility ... See more keywords
Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "Data Science and Engineering"
DOI: 10.1007/s41019-022-00180-w
Abstract: Recommending a limited number of Point-of-Interests (POIs) a user will visit next has become increasingly important to both users and POI holders for Location-Based Social Networks (LBSNs). However, POI recommendation is a challenging task since… read more here.
Keywords: personalized poi; network; sequential patterns; poi recommendation ... See more keywords
Mining sequential patterns of PM2.5 pollution between 338 cities in China.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2020.110341
Abstract: Serious 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… read more here.
Keywords: urban areas; policy; pollution; patterns pm2 ... See more keywords
Mining and visual exploration of closed contiguous sequential patterns in trajectories
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2017.1393542
Abstract: ABSTRACT Large collections of trajectories provide rich insight into movement patterns of the tracked objects. By map matching trajectories to a road network as sequences of road edge IDs, contiguous sequential patterns can be extracted… read more here.
Keywords: closed contiguous; mining visual; visual exploration; contiguous sequential ... See more keywords
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus
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DOI: 10.1109/access.2018.2827167
Abstract: High utility sequential patterns (HUSP) mining has been playing more and more important role in many applications, such as data analysis and smart campus. Current HUSP mining algorithms, however, only consider positive sequential patterns (PSP),… read more here.
Keywords: utility; utility negative; negative sequential; high utility ... See more keywords
Mining Transactional Databases for Frequent and High-Utility Fuzzy Sequential Patterns With Time Intervals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3188307
Abstract: The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of… read more here.
Keywords: time; high utility; sequential patterns; frequent high ... See more keywords
An Effective Method for Mining Negative Sequential Patterns From Data Streams
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262823
Abstract: Traditional negative sequential patterns(NSPs) mining algorithms are used to mine static dataset which are stored in equipment and can be scanned many times. Nowadays, with the development of technology, many applications produce a large amount… read more here.
Keywords: data streams; sequential patterns; negative sequential; data stream ... See more keywords
Classification with Single Constraint Progressive Mining of Sequential Patterns
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v7i4.pp2142-2151
Abstract: Classification based on sequential pattern data has become an important topic to explore. One of research has been carried was the Classify-By-Sequence, CBS. CBS classified data based on sequential patterns obtained from AprioriLike sequential pattern… read more here.
Keywords: classification; cbs; single constraint; sequential patterns ... See more keywords
Mining Sequential Patterns with VC-Dimension and Rademacher Complexity
Sign Up to like & getrecommendations! Published in 2020 at "Algorithms"
DOI: 10.3390/a13050123
Abstract: Sequential pattern mining is a fundamental data mining task with application in several domains. We study two variants of this task—the first is the extraction of frequent sequential patterns, whose frequency in a dataset of… read more here.
Keywords: mining; dimension rademacher; rademacher complexity; sequential patterns ... See more keywords