Complex Pattern Mining

New Challenges, Methods and Applications

Häftad, Engelska, 2021

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

2 369 kr

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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

Tillhör följande kategorier

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.

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