نتائج البحث - "lcsh:Information technology"

1

Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling

المؤلفون: Matti Kannala, Minjung Ryu, Hong-Linh Truong

المساهمون: Solibri, Computer Science Professors, Department of Computer Science, Aalto-yliopisto, Aalto University

المصدر: Journal of Big Data, Vol 8, Iss 1, Pp 1-30 (2021)

مصطلحات موضوعية: Information Systems and Management, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, Process (engineering), Big data, Data analysis, Cloud computing, lcsh:TK7885-7895, 02 engineering and technology, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, 0202 electrical engineering, electronic engineering, information engineering, Quality of analytics, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Building information modeling, 020207 software engineering, Classification, Data extraction, Hardware and Architecture, Analytics, Data quality, Domain knowledge, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer, Information Systems

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de8227039933c7e1b2d588b602608ddb
https://doaj.org/article/2f2e3ef5d981450f8745dd3fe4fd7c90

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2

Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data

المؤلفون: Tri Fennia Lesmana, Sani M. Isa, Nico Surantha

المصدر: Journal of Big Data, Vol 8, Iss 1, Pp 1-17 (2021)

مصطلحات موضوعية: Information Systems and Management, lcsh:Computer engineering. Computer hardware, Extreme learning machine, Computer Networks and Communications, Computer science, Big data, Cloud computing, Feature selection, lcsh:TK7885-7895, 02 engineering and technology, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Heart rate variability, Sleep Stages, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Particle swarm optimization, Electrocardiogram, Support vector machine, Hardware and Architecture, 020201 artificial intelligence & image processing, Sleep (system call), Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer, 030217 neurology & neurosurgery, Information Systems, Sleep stages

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d99949e9554d7ffb0aa4b3eaf907857e
https://doaj.org/article/ea2a0e63bda84f8ab54982953829fcad

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3

Survey on RNN and CRF models for de-identification of medical free text

المؤلفون: Joffrey L. Leevy, Flavio Villanustre, Taghi M. Khoshgoftaar

المصدر: Journal of Big Data, Vol 7, Iss 1, Pp 1-22 (2020)

مصطلحات موضوعية: Conditional random field, Big Data, Information Systems and Management, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, Big data, Recurrent neural network, lcsh:TK7885-7895, 02 engineering and technology, Overfitting, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Text messaging, De-identification, Protected health information, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Medical research, Hardware and Architecture, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b2a599885d23c5849a78f71fed3c8f6
http://link.springer.com/article/10.1186/s40537-020-00351-4

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4

Using Big Data-machine learning models for diabetes prediction and flight delays analytics

المؤلفون: Jalal Laassiri, Thérence Nibareke

المصدر: Journal of Big Data, Vol 7, Iss 1, Pp 1-18 (2020)

مصطلحات موضوعية: Big Data, Information Systems and Management, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, Dashboard (business), Big data, Decision tree, lcsh:TK7885-7895, 02 engineering and technology, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, Naive Bayes classifier, HBase, Linear regression, 0202 electrical engineering, electronic engineering, information engineering, Spark, Social network, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, 020206 networking & telecommunications, Test (assessment), Hardware and Architecture, Analytics, Hadoop, Data analytics, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecdfa23ee1646894f8d1c2fdbad564bb
http://link.springer.com/article/10.1186/s40537-020-00355-0

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5

Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques

المؤلفون: Samiul Islam, Saman Hassanzadeh Amin

المصدر: Journal of Big Data, Vol 7, Iss 1, Pp 1-22 (2020)

مصطلحات موضوعية: Information Systems and Management, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, Supply chain, Gradient boosted machine, Decision tree, lcsh:TK7885-7895, 02 engineering and technology, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, Big data, 020204 information systems, Product backorder, Business decision mapping, 0202 electrical engineering, electronic engineering, information engineering, Supply chain management, Flexibility (engineering), lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Inventory management, Random forest, Hardware and Architecture, Metric (mathematics), 020201 artificial intelligence & image processing, Artificial intelligence, Gradient boosting, lcsh:Electronic computers. Computer science, business, computer, Lead time, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725dc18a50e964f3c28a2eef215de53f
http://link.springer.com/article/10.1186/s40537-020-00345-2

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6

Anomaly detection optimization using big data and deep learning to reduce false-positive

المؤلفون: Mohamad Aljnidi, Mohammad Said Desouki, Khloud Al Jallad

المصدر: Journal of Big Data, Vol 7, Iss 1, Pp 1-12 (2020)

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Information Systems and Management, Computer Science - Cryptography and Security, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, Computer Science - Artificial Intelligence, Big data, lcsh:TK7885-7895, 02 engineering and technology, Intrusion detection system, Overfitting, Machine learning, computer.software_genre, Intrusion detection systems (IDS), lcsh:QA75.5-76.95, Machine Learning (cs.LG), Security intelligence optimization, False-positive, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Anomaly (natural sciences), Deep learning, Signature (logic), Unknown threats, Artificial Intelligence (cs.AI), Hardware and Architecture, Benchmark (computing), 020201 artificial intelligence & image processing, Anomaly detection, Artificial intelligence, NSL-KDD dataset, lcsh:Electronic computers. Computer science, business, computer, Cryptography and Security (cs.CR), Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a442f03c8c0767d4b73e7cfee8b7c4a
http://link.springer.com/article/10.1186/s40537-020-00346-1

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7

Survey on categorical data for neural networks

المؤلفون: Taghi M. Khoshgoftaar, John Hancock

المصدر: Journal of Big Data, Vol 7, Iss 1, Pp 1-41 (2020)

مصطلحات موضوعية: Information Systems and Management, Source code, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, media_common.quotation_subject, Big data, Qualitative property, lcsh:TK7885-7895, 02 engineering and technology, Machine learning, computer.software_genre, ENCODE, lcsh:QA75.5-76.95, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, Leverage (statistics), Categorical variable, 030304 developmental biology, media_common, 0303 health sciences, Artificial neural network, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Qualitative data, Deep learning, Automation, Hardware and Architecture, Encoding, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer, Neural networks, Information Systems, Embedding

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fd60ba10c40b578026d558e142b7295
http://link.springer.com/article/10.1186/s40537-020-00305-w

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8

A REVIEW ON THE SIGNIFICANCE OF MACHINE LEARNING FOR DATA ANALYSIS IN BIG DATA

المؤلفون: Vishnu Vandana Kolisetty, Dharmendra Singh Rajput

المصدر: Jordanian Journal of Computers and Information Technology, Vol 06, Iss 1, Pp 41-57 (2020)

مصطلحات موضوعية: big data challenges, General Computer Science, lcsh:T58.5-58.64, business.industry, Computer science, lcsh:Information technology, Big data, data analysis, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, machine learning, big data, big data implications, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d73d102aa894e3e3977c0db9938195f4

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9

Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures

المؤلفون: Giovanni Delnevo, Marco Roccetti, Giuseppe Cappiello, Luca Casini

المساهمون: Roccetti, M., Delnevo, G., Casini, L., Cappiello, G.

المصدر: Journal of Big Data, Vol 6, Iss 1, Pp 1-23 (2019)

مصطلحات موضوعية: Information Systems and Management, Machine learning design, lcsh:Computer engineering. Computer hardware, Computer Networks and Communications, Computer science, Big data, lcsh:TK7885-7895, 02 engineering and technology, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Metre, Computational Science and Engineering, Human-in-the-loop method, Smart data, Training set, Human-in-the-loop methods, Artificial neural network, lcsh:T58.5-58.64, business.industry, lcsh:Information technology, Northern italy, Hardware and Architecture, Human–machine–bigdata interaction loop, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, Classifier (UML), computer, Information Systems, Water metering and consumption

وصف الملف: STAMPA

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e29648fe34ffeb59719dfd894c259ef
http://link.springer.com/article/10.1186/s40537-019-0235-y

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10

User, Usage and Usability: Redefining Human Centric Cyber Security

المؤلفون: Raj Gaire, Marthie Grobler, Surya Nepal

المصدر: Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data

مصطلحات موضوعية: Big Data, system design, Computer science, 02 engineering and technology, Computer security, computer.software_genre, Field (computer science), Domain (software engineering), User experience design, Artificial Intelligence, Hypothesis and Theory, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), human centric, user, ComputingMilieux_MISCELLANEOUS, Focus (computing), lcsh:T58.5-58.64, business.industry, behavior, lcsh:Information technology, cyber security, 020206 networking & telecommunications, Usability, usage, usability, Work (electrical), Software deployment, Systems design, business, computer, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::088c9de3f64a949d94258366d51a9309
https://www.frontiersin.org/articles/10.3389/fdata.2021.583723/full

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