Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Détails du produit

• Collaboration: Yang-Sae Moon (Editeur), U Kang (Editeur), U. Kang (Editeur), Ee-peng Lim (Editeur), Jeffrey Xu Yu (Editeur)
• Edition: Springer, Berlin
• Contenu: Livre
• Forme du produit: Livre de poche
• Date de parution: 07.10.2017
• Catégorie: Sciences naturelles, médecine, it, technique > Informatique, ordinateurs > Informatique
• EAN: 9783319672731
• ISBN: 978-3-31-967273-1
• Nombre de pages: 203
• Illustrations: XIV, 203 p. 80 illus.
• Dimensions (emballage): 15,7 x 1 x 23,5 cm
• Poids (emballage): 342 g
• Thème: Lecture Notes in Computer Science > 10526; Lecture Notes in Artificial Intelligence > 10526
• Catégories: C, Data Mining, Artificial Intelligence, angewandte informatik, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Data Mining (EDV), Computeranwendungen in Industrie und Technologie, computer science, Information Retrieval, Information Systems Applications (incl. Internet), Theory of Computation, Health Informatics, Computer and Information Systems Applications, Application software, Data Mining and Knowledge Discovery, Computers, Mathematical theory of computation, Health & safety aspects of IT, Internet searching, Expert systems / knowledge-based systems, Information Storage and Retrieval, Computation by Abstract Devices, Applied computing, machinelearning, BusinessIntelligence, BusinessProcessManagement, unsupervisedlearning, systemsbiology, computationalbiology, machinelearningtheory, FeatureExtractionandSelection, biology-relatedinformationprocessing, Classificationandregressiontree