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Proceedings of International Conference on Big Data, Machine Learning and ApplicationsBigDML 2019 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of International Conference on Big Data, Machine Learning and Applicationsedited by Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas.
Reminder of title:	BigDML 2019 /
remainder title:	BigDML 2019
other author:	Patgiri, Ripon.
corporate name:
Published:	Singapore :Springer Singapore :2021.
Description:	xii, 268 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-981-33-4788-5
ISBN:	9789813347885$q(electronic bk.)

Proceedings of International Conference on Big Data, Machine Learning and ApplicationsBigDML 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.1..

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$q(electronic bk.)

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

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Proceedings of International Conference on Big Data, Machine Learning and ApplicationsBigDML 2019 /
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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.
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