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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Jo?o Manuel R. S. Tavares,Satyajit Chakrabarti,Suj Conf

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書目名稱Emerging Technologies in Data Mining and Information Security
副標題Proceedings of IEMIS
編輯Jo?o Manuel R. S. Tavares,Satyajit Chakrabarti,Suj
視頻videohttp://file.papertrans.cn/309/308451/308451.mp4
概述Presents recent research in the field of data mining and information security.Discusses the outcomes of IEMIS 2020, held in Kolkata, India.Serves as a reference resource for researchers and practition
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Jo?o Manuel R. S. Tavares,Satyajit Chakrabarti,Suj Conf
描述.This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.?The book is organized in three volumes?and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.?.
出版日期Conference proceedings 2021
關(guān)鍵詞Information Retrieval; Pattern Recognition; Data Science and Data Analytics; Network Security & Telecom
版次1
doihttps://doi.org/10.1007/978-981-15-9774-9
isbn_softcover978-981-15-9776-3
isbn_ebook978-981-15-9774-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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A Preliminary Study of Knowledge Graphs and Their Construction,entities and their relations explicitly. An entity is considered as a knowledge graph unit such as a person, movie, and city or else that need to describe. All entities of knowledge graphs are presented with their attributes like name, age, nationality, birthdates, etc., and further connected with o
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Musical Instrument Classification Based on Machine Learning Algorithm,od to classify a musical instrument from a single audio file of a specific instrument. We focus on classifying six musical instruments that are very popular for Indian subcontinent, basically used to folk songs. It is also helpful for music genre classifiers. A fairly small dataset contains 600 audi
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,A Framework to Capture the Shift in?Dynamics of a Multi-phase Protest—A Case Study of Hong Kong Prognitude and characteristics of the movement in 2019 were perceptibly different. This work presents a framework to capture such a shift using techniques of social network analysis, data science and natural language processing (NLP). This work models and analyzes the underlying social network structur
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