MDATA: A New Knowledge Representation Model: Theory, Methods and Applications

Author:   Yan Jia ,  Zhaoquan Gu ,  Aiping Li
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   12647
ISBN:  

9783030715892


Pages:   255
Publication Date:   07 March 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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MDATA: A New Knowledge Representation Model: Theory, Methods and Applications


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Author:   Yan Jia ,  Zhaoquan Gu ,  Aiping Li
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   12647
Weight:   0.454kg
ISBN:  

9783030715892


ISBN 10:   3030715892
Pages:   255
Publication Date:   07 March 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to the MDATA Model.- The Framework of the MDATA Computing Model.- Spatiotemporal Data Cleaning and Knowledge Fusion.- Chinese Named Entity Recognition: Applications and Challenges.- Joint Extraction of Entities and Relations: An Advanced BERT-based Decomposition Method.- Entity Alignment: Optimization by Seed Selection.- Knowledge Extraction: Automatic Classification of Matching Rules.- Network Embedding Attack: An Euclidean Distance based Method.- Few-Shot Knowledge Reasoning: An Attention Mechanism based Method.- Applications of Knowledge Representation Learning.- Detection and Defense Methods of Cyber Attacks.- A Distributed Framework for APT Attack Analysis.- Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks.- Information Cascading in Social Networks.

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