Complex Pattern Mining

New Challenges, Methods and Applications

AvAnnalisa Appice,Michelangelo Ceci

Häftad, Engelska, 2021

Del i serien Studies in Computational Intelligence

1 874 kr

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Beskrivning

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

Utgivningsdatum:2021-01-15
Mått:155 x 235 x 15 mm
Vikt:400 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:250
Upplaga:21001
Förlag:Springer Nature Switzerland AG
ISBN:9783030366193

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

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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