Complex Pattern Mining

New Challenges, Methods and Applications

Häftad, Engelska, 2021

Av Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras

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This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing).

Produktinformation

Utgivningsdatum2021-01-15
Mått155 x 235 x 15 mm
Vikt400 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor250
Upplaga21001
FörlagSpringer Nature Switzerland AG
ISBN9783030366193

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Systemvetenskap och AI inom Data och it
Databaser inom Data och it

Eﬃcient Infrequent Pattern Mining using Negative Itemset Tree.- Hierarchical Adversarial Training for Multi-Domain.- Optimizing C-index via Gradient Boosting in Medical Survival Analysis.- Order-preserving Biclustering Based on FCA and Pattern Structures.- A text-based regression approach to predict bug-ﬁx time.- A Named Entity Recognition Approach for Albanian Using Deep Learning.- A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining.- Eﬃcient Declarative-based Process Mining using an Enhanced Framework.- Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks.- Classiﬁcation and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks.