Proceedings of International Conference on Big Data, Machine Learning and Applications : BigDML 2019 / Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas, editors.
International Conference on Big Data, Machine Learning, and Applications (1st : 2019 : Silchar, India); Patgiri, Ripon, editor; Bandyopadhyay, Sivaji, 1963- editor.; Balas, Valentina Emilia, editor.
2021
QA76.9.B45
Available Online

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Title Proceedings of International Conference on Big Data, Machine Learning and Applications : BigDML 2019 / Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas, editors.
Meeting Name International Conference on Big Data, Machine Learning, and Applications (1st : 2019 : Silchar, India)
ISBN 9789813347885 (electronic bk.)
9813347880 (electronic bk.)
9813347872
9789813347878
DOI https://doi.org/10.1007/978-981-33-4788-5
Published Singapore : Springer, [2021]
Language English
Description 1 online resource
Item Number 10.1007/978-981-33-4788-5 doi
Call Number QA76.9.B45
Dewey Decimal Classification 005.7
Summary 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.
Bibliography, etc. Note Includes bibliographical references and author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 7, 2021).
Added Author Patgiri, Ripon, editor
Bandyopadhyay, Sivaji, 1963- editor.
Balas, Valentina Emilia, editor.
Series Lecture notes in networks and systems ; v. 180. 2367-3370
Available in Other Form Print version: 9789813347878
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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.

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