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Hierarchies of Weighted Closed Partially-Ordered Patterns for Enhancing Sequential Data Analysis [PDF]
, 2017 International audienceDiscovering sequential patterns in sequence databases is an important data mining task. Recently, hierarchies of closed partially-ordered patterns (cpo-patterns), built directly using Relational Concept Analysis (RCA), have been ...
Cristina Nica +5 more
core +2 more sources
International Conference on Machine Learning and Applications, 2021 The analysis of athletes’ spatiotemporal data provides actionable insights for strength and conditioning and customized training designs. The identification of unique movements and adjacent match events of team-sport athletes is important.
Palczewska, Anna +2 more
core +2 more sources
Closed sequential pattern mining for sitemap generation [PDF]
World Wide Web, 2020 AbstractA sitemap represents an explicit specification of the design concept and knowledge organization of a website and is therefore considered as the website’s basic ontology. It not only presents the main usage flows for users, but also hierarchically organizes concepts of the website.
Michelangelo Ceci +1 more
openalex +4 more sources
Mining closed discriminative dyadic sequential patterns
Proceedings of the 14th International Conference on Extending Database Technology, 2011 A lot of data are in sequential formats. In this study, we are interested in sequential data that goes in pairs. There are many interesting datasets in this format coming from various domains including parallel textual corpora, duplicate bug reports, and other pairs of related sequences of events.
David Lo, Hong Cheng, Lucia
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Detecting the Behaviour of COVID-19 Based On Parallel Approach of Sequential Rule Mining Algorithm [PDF]
IJCI International Journal of Computers and Information, 2022 The COVID-19 (Coronavirus) is a catastrophic disease, as it causes a global health crisis. Due to the nature of COVID-19, it spreads quickly among humans and infects millions of people within a few periods in the world.
Nesma Youssef +2 more
doaj +1 more source
Top-k Closed Sequential Graph Pattern Mining [PDF]
International Journal of Information Engineering and Electronic Business, 2016 Graphs have become increasingly important in modeling structures with broad applications like Chemical informatics, Bioinformatics, Web page retrieval and World Wide Web. Frequent graph pattern mining plays an important role in many data mining tasks to find interesting patterns from graph databases.
K. Vijay Bhaskar +3 more
openalex +2 more sources
Enhanced parallel mining algorithm for frequent sequential rules
Ain Shams Engineering Journal, 2022 Sequential rule mining is an important data mining technique that discovers relationships between occurrences of sequential patterns. The main challenge is to avoid time-consuming, especially in large search spaces.
Nesma Youssef +2 more
doaj +1 more source
Performance Evaluation of Sequential Rule Mining Algorithms
Applied Sciences, 2022 Data mining techniques are useful in discovering hidden knowledge from large databases. One of its common techniques is sequential rule mining. A sequential rule (SR) helps in finding all sequential rules that achieved support and confidence threshold ...
Amira Abdelwahab, Nesma Youssef
doaj +1 more source
Analysis of Covid-19 Genome Sequences based on Geo-Locations
Pakistan Journal of Engineering & Technology, 2021 The COVID-19 pandemic has become a major worldwide serious health risk of the current 21st century. It is necessary to examine the genomic sequences of the deadly virus COVID-19 strains to fully understand the virus’s behavior, origin, and how rapidly ...
Aqsa Umar +3 more
doaj +1 more source
Pushing Constraints to Generate Top-K Closed Sequential Graph Patterns
, 2016 K. Vijay, K. Thammi, S. Sumalatha
openalex +2 more sources