Results 31 to 40 of about 2,599,171 (311)
Mining the past to forecast the future: comments [PDF]
, 2009 In forecasting, data mining is frequently perceived as a distinct technological discipline without immediate relevance to the challenges of time series prediction.
Crone, S
core +4 more sources
Authorship verification of opinion pieces in Estonian
Eesti Rakenduslingvistika Ühingu Aastaraamat, 2014 Authorship verification is an important subproblem in authorship attribution and plagiarism detection tasks. We present a novel approach for extracting stylistic features unique to individual authors. We use the correlations of important textual features
Timo Petmanson
doaj +1 more source
Educational Data Mining to Support Programming Learning Using Problem-Solving Data
IEEE Access, 2022 Computer programming has attracted a lot of attention in the development of information and communication technologies in the real world. Meeting the growing demand for highly skilled programmers in the ICT industry is one of the major challenges.
Md. Mostafizer Rahman +4 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 +9 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
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
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
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
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
openaire +2 more sources
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