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Titlebook: Complex Pattern Mining; New Challenges, Meth Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras Book 2020 Springer Nature Switzerland AG 202

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Book 2020that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.
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Efficient Infrequent Pattern Mining Using Negative Itemset Tree,is paper, we propose an infrequent pattern mining algorithm using a top-down and depth-first traversing strategy to avoid the two obstacles above. A negative itemset tree is employed to accelerate the mining process with its dataset compressing and fast counting ability.
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1860-949X iciently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.978-3-030-36619-3978-3-030-36617-9Series ISSN 1860-949X Series E-ISSN 1860-9503
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Lebendige Stadt- und Ortskerne,iminator network to propagate the information, which can be viewed as adversarial networks in a supervised context by forcing the discriminator to identify domain labels. The proposed method HANN not only captures the distinct properties of each domain, but also shares common information across mult
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Stadterneuerung und Städtische Kulturing. Taking into consideration the complexity of the Albanian language and the little research done in NLP for Albanian, the results achieved are promising. The results obtained from the experiments demonstrate that the NER performance can be further improved by using a larger annotated corpus to tr
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