Results 31 to 40 of about 739,545 (283)
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
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Discovering Exclusive Patterns in Frequent Sequences [PDF]
, 2010 This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Chen, Weiru, Keech, Malcolm, Lu, Jing
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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
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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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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
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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
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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
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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
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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
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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
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