Knowledge Management and Acquisition for Intelligent Systems

17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7–8, 2021, Proceedings

Häftad, Engelska, 2021

Av Hiroshi Uehara, Takayasu Yamaguchi, Quan Bai

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This book constitutes the proceedings of the 17th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2020, held in Yokohama, Japan, in January 2021. The 10 full papers and 5 short papers included in this volume were carefully reviewed and selected from 28 initial submissions.

Produktinformation

Utgivningsdatum2021-02-20
Mått155 x 235 x 12 mm
Vikt312 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor187
FörlagSpringer Nature Switzerland AG
ISBN9783030698850

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Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks.- Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data.- ERA: Extracting planning macro-operators from adjacent and non-adjacent sequences.- Deep Neural Network Incorporating CNN and MF for Item-based Fashion Recommendation.- C-LIME: A Consistency-oriented LIME for Time-series Health-Risk Predictions.- Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction.- Stabilizing the Predictive Performance for Ear Emergence in Rice Crops across Cropping Regions.- Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem.- Attributed Heterogeneous Network Embedding for Link Prediction.- Automatic Generation and Classification of Malicious FQDN.- Analyzing Temporal Change in LoRa Communication Quality Using Massive Measurement Data.- Challenge Closed-Book Science Exam: A Meta-Learning Based Question Answering System.- Identification of B2B Brand Components and their Performance’s Relevance Using a Business Card Exchange Network.- Semi-Automatic Construction of Sight Words Dictionary for Filipino Text Readability.- Automated Concern Exploration in Pandemic Situations – COVID-19 as a Use Case.