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Advances in Knowledge Discovery and Data Mining -

Advances in Knowledge Discovery and Data Mining

24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I
Buch | Softcover
XXXVII, 886 Seiten
2020
Springer International Publishing (Verlag)
978-3-030-47425-6 (ISBN)
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The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, held in Singapore, in May 2020.

The 135 full papers presented were carefully reviewed and selected from 628 submissions.

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic.

The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Recommender Systems.- Classification.- Clustering.- Mining Social Networks.- Representation Learning and Embedding.- Mining Behavioral Data.- Deep Learning.- Feature Extraction and Selection.- Human, Domain, Organizational and Social Factors in Data Mining.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XXXVII, 886 p. 293 illus., 207 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1389 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • classification • clustering algorithms • Computational Linguistics • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Databases • Data Mining • Image Analysis • Image Processing • image reconstruction • Image Segmentation • Informatics • Information Retrieval • machine learning • Natural Language Processing (NLP) • Neural networks • Recommender Systems • Research • Signal Processing • Social Networks
ISBN-10 3-030-47425-9 / 3030474259
ISBN-13 978-3-030-47425-6 / 9783030474256
Zustand Neuware
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