東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Proceedings of International Confere...

Patgiri, Ripon.

FindBook

Google Book

Amazon

博客來

Proceedings of International Conference on Big Data, Machine Learning and Applications = BigDML 2019 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of International Conference on Big Data, Machine Learning and Applications/ edited by Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas.
其他題名:	BigDML 2019 /
其他題名:	BigDML 2019
其他作者:	Patgiri, Ripon.
團體作者:	International Conference on Big Data, Machine Learning, and Applications
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xii, 268 p. :ill., digital ;24 cm.
內容註:	BicGenesis: A method to Identify ESCC Biomarkers using Biclustering Approach -- An Improved Energy Aware Secure Clustering Technique for Wireless Sensor Network -- Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence -- U-control Chart-Based Differential Evolution Clustering for Determining the Number of Clusters in K-Means -- Privacy Preserving Association Rule Mining in Distributed Database Environment: a review -- The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice -- Comparative Study of Faster Region-based Convolutional Neural Networks with Inception v2 and Single Shot Detector with Inception V2 on Their Signature Detection Capabilities -- Sleep Stage Classification Based on Ensemble Decision Tree Technique Using Single-Channel EEG.
Contained By:	Springer Nature eBook
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-33-4788-5
ISBN:	9789813347885

Proceedings of International Conference on Big Data, Machine Learning and Applications = BigDML 2019 /
Proceedings of International Conference on Big Data, Machine Learning and ApplicationsBigDML 2019 /[electronic resource] :BigDML 2019edited by Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas. - Singapore :Springer Singapore :2021. - xii, 268 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.1802367-3370 ;. - Lecture notes in networks and systems ;v.180..

BicGenesis: A method to Identify ESCC Biomarkers using Biclustering Approach -- An Improved Energy Aware Secure Clustering Technique for Wireless Sensor Network -- Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence -- U-control Chart-Based Differential Evolution Clustering for Determining the Number of Clusters in K-Means -- Privacy Preserving Association Rule Mining in Distributed Database Environment: a review -- The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice -- Comparative Study of Faster Region-based Convolutional Neural Networks with Inception v2 and Single Shot Detector with Inception V2 on Their Signature Detection Capabilities -- Sleep Stage Classification Based on Ensemble Decision Tree Technique Using Single-Channel EEG.

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019) It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings.

ISBN: 9789813347885

Standard No.: 10.1007/978-981-33-4788-5doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Proceedings of International Conference on Big Data, Machine Learning and Applications = BigDML 2019 /
LDR:02488nmm a2200349 a 4500 001 2239201
003 DE-He213
005 20210712154926.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789813347885 $q (electronic bk.)
020 $a 9789813347878 $q (paper)
024 7 $a 10.1007/978-981-33-4788-5 $2 doi
035 $a 978-981-33-4788-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b I61 2019
111 2 $a International Conference on Big Data, Machine Learning, and Applications $n (1st : $d 2019 : $c Silchar, India) $3 3493005
245 1 0 $a Proceedings of International Conference on Big Data, Machine Learning and Applications $h [electronic resource] : $b BigDML 2019 / $c edited by Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas.
246 3 $a BigDML 2019
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 268 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3370 ; $v v.180
505 0 $a BicGenesis: A method to Identify ESCC Biomarkers using Biclustering Approach -- An Improved Energy Aware Secure Clustering Technique for Wireless Sensor Network -- Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence -- U-control Chart-Based Differential Evolution Clustering for Determining the Number of Clusters in K-Means -- Privacy Preserving Association Rule Mining in Distributed Database Environment: a review -- The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice -- Comparative Study of Faster Region-based Convolutional Neural Networks with Inception v2 and Single Shot Detector with Inception V2 on Their Signature Detection Capabilities -- Sleep Stage Classification Based on Ensemble Decision Tree Technique Using Single-Channel EEG.
520 $a This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019) It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings.
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Statistics, general. $3 896933
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Patgiri, Ripon. $3 3489958
700 1 $a Bandyopadhyay, Sivaji. $3 3493006
700 1 $a Balas, Valentina Emilia. $3 1002632
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.180. $3 3489739
856 4 0 $u https://doi.org/10.1007/978-981-33-4788-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)