000			04733nam a22003855i 4500
999			_c398510 _d398510 _x1
001			398510
003			ES-MaUEC
005			20240314174533.0
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007			cr nn 008mamaa
008			230525s2023 sz | o |||| 0|eng d
020			_a9783031336140
024	7		_a10.1007/978-3-031-33614-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .B45 _b2023 EB
245	0	0	_aBig Data Technologies and Applications _b: 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings _cedited by Rui Hou, Huan Huang, Deze Zeng, Guisong Xia, Kareem Kamal A Ghany, Hossam M Zawbaa
250			_a1st ed 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aLecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering _x1867-822X _v480
505	0		_aSoftware Engineering and Blockchain Technologies -- Using Requirements Clustering to Discover Dependent Requirements for Hidden Impact Analysis -- A Proposed Keyword-Based Feature Extraction Approach for Labeling and Classifying Egyptian Mobile Apps Arabic Slang User Requirements Reviews -- A Comparative study for anonymizing datasets with multiple sensitive attribute and multiple records -- A Proposed Framework for Cloud Immunization In-formation System: Challenges and Opportunities -- The Role of Block Chain Technology in Reducing Corruption within the Local Governance in Egyp -- A data brokering architecture to guarantee nonfunctional requirements in IoT applications -- Machine Learning and Big Data applications -- A Proposed Virtual Learning Model based on Statistical Analysis of Educational Data of Egypt -- Diagnosis Hepatitis B Using Machine and Deep Learning: Survey -- Using Grasshopper Optimization in Big Data -- A Semi-supervised Learning Application for Hand Posture Classification -- Explore the relationship between procedural score feedback and subsequent time allocation and learning outcomes of learners in a MOOC -- DoS attacks detection in the network of drones: An efficient Decision Tree-based method -- (Deep Learning applications and Bio-inspired Optimization -- Detecting Fake News Spreaders on Twitter Through Follower Networks -- NODDLE: Node2vec based deep learning model for link prediction -- Hybrid Coral Reef Optimization Algorithm Employed Local Search Technique for Job Shop Scheduling Problems -- Efficient Human Activity Recognition based on Grouped Representations of Multimodal Wearable Data -- Artificial Intelligence and Data Mining in Education -- Pose+Context: a model for recognizing non-verbal teaching behavior of normal college student -- Dropout prediction in MOOCs combining behavioralsequence characteristics -- CVO: Curriculum vitae optimization by recommending keywords to undergraduate students -- Hardware and Software solutions for Big Data Storing and Management -- Big Data in Healthcare Institutions: An Architecture Proposal -- New Domains and Novel Applications Related to Big Data Technologies -- Analysis of Knowledge Map on Rural Culture Tourism in China -- A visual analysis of e-government research in China based on co-word clustering -- Research on Virtual Simulation Teaching Platform Based on Convergent Media.
520			_aThis book constitutes the refereed post-conference proceedings of the 11th and the 12th International Conference on Big Data Technologies and Applications, BDTA 2021 and BDTA 2022, held in December 2021 and 2022. Due to COVID-19 pandemic both conferences were held virtually. The 23 full papers of BDTA 2021 and BDTA 2022 were selected from 61 submissions and present all big data technologies, such as big data collection and storage, big data management and retrieval, big data mining approaches, big data visualization, and new domains and novel applications related to these technologies.
988			_aSpringer_Computer_2023
650		7	_2embne _9495511 _aDatos masivos _vConferencias
830		0	_aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, _x1867-822X ; _v480
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-33614-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eu _zSI