Results 31 to 40 of about 735,862 (187)
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy [PDF]
, 2010 This paper describes an approach to temporal pattern mining using the concept of user defined temporal prototypes to define the nature of the trends of interests.
F.P. Coenen +13 more
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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
On mining complex sequential data by means of FCA and pattern structures [PDF]
, 2015 Nowadays data sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcare to marketing.
Buzmakov, Aleksey +5 more
core +4 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
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020 Frequent pattern mining has been an important subject matter in data mining from many years. A remarkable progress in this field has been made and lots of efficient algorithms have been designed to search frequent patterns in a transactional database. One of the most important technique of datamining is the extraction rule in large database.
Y. Fakir, R. Elayachi
openaire +1 more source
Mining Frequent Neighborhood Patterns in Large Labeled Graphs [PDF]
, 2013 Over the years, frequent subgraphs have been an important sort of targeted patterns in the pattern mining literatures, where most works deal with databases holding a number of graph transactions, e.g., chemical structures of compounds. These methods rely
Han, Jialong, Wen, Ji-Rong
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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 Analysis of Pattern and Association Rule Mining Approaches
, 2014 The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules.
Lazzez, Amor, Slimani, Thabet
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Applications of concurrent access patterns in web usage mining [PDF]
, 2013 This paper builds on the original data mining and modelling research which has proposed the discovery of novel structural relation patterns, applying the approach in web usage mining.
B. Liu +7 more
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