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[PDF][PDF] A survey of sequential pattern mining
P Fournier-Viger, JCW Lin… - Data Science and …, 2017 - philippe-fournier-viger.com
Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …
In recent years, a trend in data mining has been to design algorithms for discovering …
Frequent pattern mining: current status and future directions
Frequent pattern mining has been a focused theme in data mining research for over a
decade. Abundant literature has been dedicated to this research and tremendous progress …
decade. Abundant literature has been dedicated to this research and tremendous progress …
A survey of parallel sequential pattern mining
W Gan, JCW Lin, P Fournier-Viger, HC Chao… - ACM Transactions on …, 2019 - dl.acm.org
With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …
types are collected automatically. Traditional data mining algorithms generally have …
[ספר][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Sequential pattern mining--approaches and algorithms
CH Mooney, JF Roddick - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
Sequences of events, items, or tokens occurring in an ordered metric space appear often in
data and the requirement to detect and analyze frequent subsequences is a common …
data and the requirement to detect and analyze frequent subsequences is a common …
Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays
Activity monitoring, a crucial task in many applications, is often conducted expensively using
video cameras. Effectively monitoring a large field by analyzing images from multiple …
video cameras. Effectively monitoring a large field by analyzing images from multiple …
Effective next-items recommendation via personalized sequential pattern mining
Based on the intuition that frequent patterns can be used to predict the next few items that
users would want to access, sequential pattern mining-based next-items recommendation …
users would want to access, sequential pattern mining-based next-items recommendation …
A new tree-based approach to mine sequential patterns
Generic sequential pattern mining problem aims to mine the set of sequential patterns from a
sequential database that satisfies a minimum support or occurrence threshold constraint …
sequential database that satisfies a minimum support or occurrence threshold constraint …
Mining sequential patterns in uncertain databases using hierarchical index structure
In this uncertain world, data uncertainty is inherent in many applications and its importance
is growing drastically due to the rapid development of modern technologies. Nowadays …
is growing drastically due to the rapid development of modern technologies. Nowadays …
New approaches for mining regular high utility sequential patterns
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 …
mining by discovering patterns with regular occurrences throughout a complete database. In …