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245 1 0 _aKnowledge Management and Acquisition for Intelligent Systems
_h[electronic resource] :
_b17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7-8, 2021, Proceedings /
_cedited by Hiroshi Uehara, Takayasu Yamaguchi, Quan Bai.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 187 p. 68 illus., 41 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12280
505 0 _aAccelerating 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.
520 _aThis 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. PKAW primarily focuses on the multidisciplinary approach of the human-driven and data-driven knowledge acquisition, which is the key concept that has remained unchanged since the workshop has been established.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer networks .
_931572
650 0 _aComputers.
_98172
650 0 _aDatabase management.
_93157
650 0 _aInformation storage and retrieval systems.
_922213
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Communication Networks.
_9117550
650 2 4 _aComputing Milieux.
_955441
650 2 4 _aDatabase Management.
_93157
650 2 4 _aInformation Storage and Retrieval.
_923927
700 1 _aUehara, Hiroshi.
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_9117551
700 1 _aYamaguchi, Takayasu.
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_9117552
700 1 _aBai, Quan.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030698874
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-69886-7
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