國立高雄大學圖資館 |

Language: English

Back

Emerging technologies in data mining...

(1998 :)

Emerging technologies in data mining and information securityproceedings of IEMIS 2020.Volume 3 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Emerging technologies in data mining and information securityedited by Joao Manuel R. S. Tavares ... [et al.].
Reminder of title:	proceedings of IEMIS 2020.
remainder title:	IEMIS 2020
other author:	Tavares, Joao Manuel R. S.
corporate name:
Published:	Singapore :Springer Singapore :2021.
Description:	xxx, 994 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-981-15-9774-9
ISBN:	9789811597749$q(electronic bk.)

Emerging technologies in data mining and information securityproceedings of IEMIS 2020.Volume 3 /
Emerging technologies in data mining and information securityproceedings of IEMIS 2020.Volume 3 /[electronic resource] :IEMIS 2020edited by Joao Manuel R. S. Tavares ... [et al.]. - Singapore :Springer Singapore :2021. - xxx, 994 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.1642367-3370 ;. - Lecture notes in networks and systems ;v.1..

Chapter 1. Layered Ensemble Learning for Effective Binary Classiﬁcation -- Chapter 2. A Preliminary Study of Knowledge Graphs and their Construction -- Chapter 3. A Simple Ensemble Learning Algorithm for a Real time High Dimensional Data -- Chapter 4. Promising Highest Resilient Network using preventive Route selection algorithm- IPSDSDV in MANET -- Chapter 5. An ANN Approach of Twisted Fiestel Block Ciphering -- Chapter 6. Musical Instrument Classification Based On Machine Learning Algorithm -- Chapter 7. Analytical Survey and Comparative Analysis of Socialized Network via Data Mining and Machine Learning Techniques -- Chapter 8. Assessment of Severity Classification of Traffic Accidents on the basis of K-means Clustering and Adaptive Neuro-Fuzzy Inference System -- Chapter 9. Design and Implementation of Login Based Wi-Fi Hotspot Network for an University Campus -- Chapter 10. A Framework to Capture the Shift in Dynamics of a Multi-Phase Protest - A Case Study of Hong Kong Protests -- Chapter 11. A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification -- Chapter 12. ECG Signal Denoising Using A Novel Solution To The Heat Equation Through Wavelet Transform -- Chapter 13. Design and Implementation of Chao-Cryptic Architecture on FPGA for Secure Audio Communication -- Chapter 14. Diffusion + Confusion: Chaos Assisted Two Fold Cryptosystem for Secure Video Transmission -- Chapter 15. Chaos Blend LFSR - Duo Approach on FPGA for Medical Image Security.

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.

ISBN: 9789811597749$q(electronic bk.)

Standard No.: 10.1007/978-981-15-9774-9doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Emerging technologies in data mining and information securityproceedings of IEMIS 2020.Volume 3 /
LDR:03304nmm a2200349 a 4500 001 597928
003 DE-He213
005 20210729133111.0
006 m d
007 cr nn 008maaau
008 211019s2021 si s 0 eng d
020 $a 9789811597749$q(electronic bk.)
020 $a 9789811597732$q(paper)
024 7 $a 10.1007/978-981-15-9774-9 $2 doi
035 $a 978-981-15-9774-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b I61 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Emerging technologies in data mining and information security $h [electronic resource] : $b proceedings of IEMIS 2020. $n Volume 3 / $c edited by Joao Manuel R. S. Tavares ... [et al.].
246 3 $a IEMIS 2020
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xxx, 994 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3370 ; $v v.164
505 0 $a Chapter 1. Layered Ensemble Learning for Effective Binary Classiﬁcation -- Chapter 2. A Preliminary Study of Knowledge Graphs and their Construction -- Chapter 3. A Simple Ensemble Learning Algorithm for a Real time High Dimensional Data -- Chapter 4. Promising Highest Resilient Network using preventive Route selection algorithm- IPSDSDV in MANET -- Chapter 5. An ANN Approach of Twisted Fiestel Block Ciphering -- Chapter 6. Musical Instrument Classification Based On Machine Learning Algorithm -- Chapter 7. Analytical Survey and Comparative Analysis of Socialized Network via Data Mining and Machine Learning Techniques -- Chapter 8. Assessment of Severity Classification of Traffic Accidents on the basis of K-means Clustering and Adaptive Neuro-Fuzzy Inference System -- Chapter 9. Design and Implementation of Login Based Wi-Fi Hotspot Network for an University Campus -- Chapter 10. A Framework to Capture the Shift in Dynamics of a Multi-Phase Protest - A Case Study of Hong Kong Protests -- Chapter 11. A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification -- Chapter 12. ECG Signal Denoising Using A Novel Solution To The Heat Equation Through Wavelet Transform -- Chapter 13. Design and Implementation of Chao-Cryptic Architecture on FPGA for Secure Audio Communication -- Chapter 14. Diffusion + Confusion: Chaos Assisted Two Fold Cryptosystem for Secure Video Transmission -- Chapter 15. Chaos Blend LFSR - Duo Approach on FPGA for Medical Image Security.
520 $a 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.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Computer security $v Congresses. $3 383239
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Structures and Information Theory. $3 825714
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Mobile and Network Security. $3 825732
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Information Storage and Retrieval. $3 274190
700 1 $a Tavares, Joao Manuel R. S. $3 338549
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 744793
856 4 0 $u https://doi.org/10.1007/978-981-15-9774-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)