1.

Record Nr.

UNINA9910863125003321

Titolo

Data Management, Analytics and Innovation : Proceedings of ICDMAI 2020, Volume 2 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic

Pubbl/distr/stampa

Springer Singapore, 2021

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021

ISBN

981-15-5619-9

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XII, 462 p. 225 illus., 171 illus. in color.)

Collana

Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1175

Disciplina

005.74

Soggetti

Computational intelligence

Telecommunication

Big data

Artificial intelligence—Data processing

Artificial intelligence

Computational Intelligence

Communications Engineering, Networks

Big Data

Data Science

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Automatic Standardization of Data based on Machine Learning and Natural Language Processing -- Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network.-APPLICATION OF BAYESIAN AUTOMATED HYPERPARAMETER TUNING ON CLASSIFIERS PREDICTING CUSTOMER RETENTION IN BANKING INDUSTRY -- Quantum Machine Learning: A Review and Current Status -- Survey of Transfer Learning and a Case Study of Emotion Recognition using Inductive Approach -- An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold.

Sommario/riassunto

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and



data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. .