Results 31 to 40 of about 110,266 (316)
Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation
Frontiers in Neuroinformatics, 2021 The SPADE (spatio-temporal Spike PAttern Detection and Evaluation) method was developed to find reoccurring spatio-temporal patterns in neuronal spike activity (parallel spike trains).
Florian Porrmann +8 more
doaj +1 more source
Wind Speed Prediction via Collaborative Filtering on Virtual Edge Expanding Graphs
Mathematics, 2022 Accurate and stable wind speed prediction is crucial for the safe operation of large-scale wind power grid connections. Existing methods are typically limited to a certain fixed area when learning the information of the wind speed sequence, which cannot ...
Xiang Ying +6 more
doaj +1 more source
Mining unconnected patterns in workflows
Information Systems, 2005 This paper investigates the problem of mining unconnected patterns in workflows and presents for its solution two algorithms, both adapting the Apriori approach to the graphical structure of workflows. The first one is a straightforward extension of the level-wise style of Apriori whereas the second one introduces sophisticated graphical analysis of ...
GRECO, Gianluigi +3 more
openaire +7 more sources
SIMIT: Subjectively Interesting Motifs in Time Series
Entropy, 2019 Numerical time series data are pervasive, originating from sources as diverse as wearable devices, medical equipment, to sensors in industrial plants.
Junning Deng +3 more
doaj +1 more source
J48SS: A Novel Decision Tree Approach for the Handling of Sequential and Time Series Data
Computers, 2019 Temporal information plays a very important role in many analysis tasks, and can be encoded in at least two different ways. It can be modeled by discrete sequences of events as, for example, in the business intelligence domain, with the aim of tracking ...
Andrea Brunello +3 more
doaj +1 more source
Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure
IEEE Access, 2023 High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items.
Hyeonmo Kim +6 more
doaj +1 more source
Pattern Mining in Keilschriftzeichnungen
, 2017 {"references": ["https://doi.org/10.5281/zenodo.3679331", "https://github.com/DHd-Verband/DHd-Abstracts-2016"]}
Bartosz Bogacz, Hubert Mara
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Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
Applied Sciences, 2023 High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
doaj +1 more source
Frontiers in Bioinformatics, 2022 Boosted by the exponential growth of microbiome-based studies, analyzing microbiome patterns is now a hot-topic, finding different fields of application. In particular, the use of machine learning techniques is increasing in microbiome studies, providing
Agostinetto Giulia +4 more
doaj +1 more source
Mid-level Deep Pattern Mining∗
, 2015 Mid-level visual element discovery aims to find clusters of image patches that are both representative and discrimi-native. In this work, we study this problem from the prospec-tive of pattern mining while relying on the recently popular-ized ...
Anton Van Den Hengel +7 more
core +1 more source