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Emerging technologies in data mining...

Springer International Conference on Emerging Technologies in Data Mining and Information Security ((2018 :)

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Emerging technologies in data mining and information security = proceedings of IEMIS 2018.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emerging technologies in data mining and information security/ edited by Ajith Abraham ... [et al.].
其他題名:	proceedings of IEMIS 2018.
其他作者:	Abraham, Ajith.
團體作者:	Springer International Conference on Emerging Technologies in Data Mining and Information Security
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xxviii, 861 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Application of ANN for On-line Monitoring and Security Estimation of Power System -- Chapter 2: Crop Prediction Models - A Review -- Chapter 3: Rainfall Prediction : A Comparative study of Neural Network architectures -- Chapter 4: Prediction of Bacteriophage Protein Locations Using Deep Neural Networks -- Chapter 5: Classification of Phishing Websites using Moth-flame Optimized Neural Network -- Chapter 6: Design and Analysis of Intrusion Detection System via Neural Network, SVM and Neuro fuzzy -- Chapter 7: Grammar-based White-box Testing via Automated Constraint Path Generation.
Contained By:	Springer eBooks
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-13-1951-8
ISBN:	9789811319518

Emerging technologies in data mining and information security = proceedings of IEMIS 2018.. Volume 1 /
Emerging technologies in data mining and information securityproceedings of IEMIS 2018.Volume 1 /[electronic resource] :edited by Ajith Abraham ... [et al.]. - Singapore :Springer Singapore :2019. - xxviii, 861 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.7552194-5357 ;. - Advances in intelligent systems and computing ;v.755..

Chapter 1: Application of ANN for On-line Monitoring and Security Estimation of Power System -- Chapter 2: Crop Prediction Models - A Review -- Chapter 3: Rainfall Prediction : A Comparative study of Neural Network architectures -- Chapter 4: Prediction of Bacteriophage Protein Locations Using Deep Neural Networks -- Chapter 5: Classification of Phishing Websites using Moth-flame Optimized Neural Network -- Chapter 6: Design and Analysis of Intrusion Detection System via Neural Network, SVM and Neuro fuzzy -- Chapter 7: Grammar-based White-box Testing via Automated Constraint Path Generation.

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises 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.

ISBN: 9789811319518

Standard No.: 10.1007/978-981-13-1951-8doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.A25 / S67 2018

Dewey Class. No.: 005.8

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