Advances in Knowledge Discovery and Data Mining
Springer International Publishing (Verlag)
978-3-030-47435-5 (ISBN)
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.
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.
| Erscheinungsdatum | 11.05.2020 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XXXVIII, 924 p. 503 illus., 242 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1448 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 • Data Security • Image Analysis • Image Processing • image reconstruction • Image Segmentation • Informatics • machine learning • Natural Language Processing (NLP) • Network Protocols • Neural networks • Research • Signal Detection • Signal Processing |
| ISBN-10 | 3-030-47435-6 / 3030474356 |
| ISBN-13 | 978-3-030-47435-5 / 9783030474355 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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