001462053 000__ 07709cam\a22006857i\4500
001462053 001__ 1462053
001462053 003__ OCoLC
001462053 005__ 20230503003424.0
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001462053 019__ $$a1375438919
001462053 020__ $$a9789819907410$$q(electronic bk.)
001462053 020__ $$a9819907411$$q(electronic bk.)
001462053 020__ $$z9789819907403
001462053 020__ $$z9819907403
001462053 0247_ $$a10.1007/978-981-99-0741-0$$2doi
001462053 035__ $$aSP(OCoLC)1375474719
001462053 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dYDX
001462053 049__ $$aISEA
001462053 050_4 $$aQA76.9.B45
001462053 08204 $$a005.7$$223/eng/20230411
001462053 1112_ $$aInternational Conference on Data Science and Emerging Technologies$$d(2022 :$$cOnline)
001462053 24510 $$aData science and emerging technologies :$$bproceedings of DaSET 2022 /$$cYap Bee Wah, Michael W. Berry, Azlinah Mohamed, Dhiya Al-Jumeily, OBE, editors.
001462053 2463_ $$aDaSET 2022
001462053 264_1 $$aSingapore :$$bSpringer,$$c2023.
001462053 300__ $$a1 online resource.
001462053 336__ $$atext$$btxt$$2rdacontent
001462053 337__ $$acomputer$$bc$$2rdamedia
001462053 338__ $$aonline resource$$bcr$$2rdacarrier
001462053 4901_ $$aLecture notes on data engineering and communications technologies ;$$v165
001462053 500__ $$aIncludes author index.
001462053 5050_ $$aPart I: Artificial Intelligence -- Extractive Text Summarization Using Syntactic Sub- Graph Models -- Analysis of Big Five Personality Factors to determine the Appropriate Type of Career using the C4.5 Algorithm -- Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention -- Dissemination Management for Official Statistics Using Artificial Intelligence-Based Media Monitoring -- Part II: Computational Vision -- A Naive but Effective Post-Processing Approach for Dark Channel Prior (DCP) -- COVID-19 Face Mask Classification Using Deep Learning -- Gender Classification Using Transfer Learning and Fine-Tuning -- Multi-Language Recognition Translator by Using the Convolutional Neural Network (CNN) Algorithm and Optical Character Recognition (OCR) -- Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques -- Part III: Cybersecurity -- Phishing Attack Types and Mitigation: A Survey -- A Review of Privacy Protection Methods for Smart Homes Against Wireless Snooping Attack -- Development of Graph-Based Knowledge on Ransom-Ware Attacks Using Twitter Data -- Part IV: Big Data Analytics -- BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores (Prof Alredo's paper) -- Design and Implementation of Data Warehouse Solution at Kumpulan Wang Persaraan (KWAP) -- Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics -- Big Data Application on Prediction of HDD Manufacturing Process Performance -- Visualising Economic Situation Through Malaysia Economic Recovery Dashboard (MERD) -- Part V: Machine/Deep Learning -- Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning -- Plant Growth Phase Classification Using Deep Neural Network -- The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol Acyltransferase-1(DGAT1) Inhibitors as Anti-Diabetes -- Classification of Exercise Game Data for Rehabilitation Using Machine Learning Algorithms -- SDDLA: A New Architecture for Secured Decentralized Distributed Learning -- Gated Memory Unit: A Novel Recurrent Neural Network Architecture for Sequential Analysis -- Multi-Class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier -- Predicting Risks of Late Delivery to Online Shopping Customers Using Machine Learning Techniques -- Quora Insincere Questions Classification Using Attention Based Model -- Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms -- Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches -- Deep Learning-Based Approach for Classifying the Severity of Metal Corrosion Using SEM Images -- Insurance Risk Prediction Using Machine Learning -- Loan Default Forecasting Using StackNet -- Part VI: Statistical Learning -- Neural Network Autoregressive Model for Forecasting Malaysia Under-5 Mortality -- Robustness of Support Vector Regression and Random Forest Models: A Simulation Study -- The Impact of Restrictions Community Activities on COVID-19 Transmission: A Case Study in Sumatra Island, Indonesia -- Predicting Internet Usage for Digital Finance Services: Multitarget Classification Using Vector Generalized Additive Model with SMOTE-NC -- Part VII: Text Mining and Classification -- Identifying Topic Modeling Technique in Evaluating Textual Datasets -- Y-X-Y Encoding for Identifying Types of Sentence Similarity -- Evaluation of Extractive and Abstract Methods in Text Summarization.
001462053 506__ $$aAccess limited to authorized users.
001462053 520__ $$aThe book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 2021, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
001462053 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 11, 2023).
001462053 650_0 $$aBig data$$vCongresses.
001462053 650_0 $$aData mining$$vCongresses.
001462053 650_0 $$aTechnology$$vCongresses.
001462053 655_0 $$aElectronic books.
001462053 7001_ $$aWah, Yap Bee,$$eeditor.
001462053 7001_ $$aBerry, Michael W.,$$eeditor.
001462053 7001_ $$aMohamed, Azlinah Hj.,$$eeditor.
001462053 7001_ $$aAl-Jumeily, Dhiya,$$eeditor.
001462053 77608 $$iPrint version: $$z9819907403$$z9789819907403$$w(OCoLC)1369324569
001462053 830_0 $$aLecture notes on data engineering and communications technologies ;$$vv. 165.
001462053 852__ $$bebk
001462053 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0741-0$$zOnline Access$$91397441.1
001462053 909CO $$ooai:library.usi.edu:1462053$$pGLOBAL_SET
001462053 980__ $$aBIB
001462053 980__ $$aEBOOK
001462053 982__ $$aEbook
001462053 983__ $$aOnline
001462053 994__ $$a92$$bISE