Complex Pattern Mining: New Challenges, Methods and Applications: Studies in Computational Intelligence, cartea 880
Editat de Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Rasen Limba Engleză Paperback – 15 ian 2021
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Paperback (1) | 987.13 lei 6-8 săpt. | |
Springer International Publishing – 15 ian 2021 | 987.13 lei 6-8 săpt. | |
Hardback (1) | 993.05 lei 6-8 săpt. | |
Springer International Publishing – 15 ian 2020 | 993.05 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030366193
ISBN-10: 3030366197
Ilustrații: X, 250 p. 77 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.37 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030366197
Ilustrații: X, 250 p. 77 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.37 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that 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.
Caracteristici
Presents recent research in complex pattern mining Includes revised selected papers presented at the workshops on "New Frontiers in Mining Complex Patterns” Presents new challenges, methods and applications