Cargando…

A systematic review on literature-based discovery workflow

As scientific publication rates increase, knowledge acquisition and the research development process have become more complex and time-consuming. Literature-Based Discovery (LBD), supporting automated knowledge discovery, helps facilitate this process by eliciting novel knowledge by analysing existi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Thilakaratne, Menasha, Falkner, Katrina, Atapattu, Thushari
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2019
Materias:	Data Mining and Machine Learning
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924697/ https://www.ncbi.nlm.nih.gov/pubmed/33816888 http://dx.doi.org/10.7717/peerj-cs.235

Ejemplares similares

Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts
por: Thilakaratne, Menasha, et al.
Publicado: (2020)

Provenance-and machine learning-based recommendation of parameter values in scientific workflows
por: Silva Junior, Daniel, et al.
Publicado: (2021)

Adaptations of data mining methodologies: a systematic literature review
por: Plotnikova, Veronika, et al.
Publicado: (2020)

Current approaches for executing big data science projects—a systematic literature review
por: Saltz, Jeffrey S., et al.
Publicado: (2022)

Big data clustering techniques based on Spark: a literature review
por: Saeed, Mozamel M., et al.
Publicado: (2020)

Scenario-feature identification from online reviews based on BERT
por: Huang, Xunjiang, et al.
Publicado: (2023)

An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets
por: AL-Ghuribi, Sumaia, et al.
Publicado: (2023)

A split-and-transfer flow based entropic centrality
por: Oggier, Frédérique, et al.
Publicado: (2019)

Spammer group detection and diversification of customers’ reviews
por: Hussain, Naveed, et al.
Publicado: (2021)

A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities
por: Abdi, Asad, et al.
Publicado: (2021)

A comparative analysis on question classification task based on deep learning approaches
por: Zulqarnain, Muhammad, et al.
Publicado: (2021)

A consumer emotion analysis system based on support vector regression model
por: Huo, Mingkui, et al.
Publicado: (2023)

Temporal dynamics of requirements engineering from mobile app reviews
por: Alves de Lima, Vitor Mesaque, et al.
Publicado: (2022)

A novel approach for Arabic business email classification based on deep learning machines
por: Masri, Aladdin, et al.
Publicado: (2023)

Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
por: Solarte Pabón, Oswaldo, et al.
Publicado: (2022)

An intelligent film recommender system based on emotional analysis
por: Xiong, Wenzuixiong, et al.
Publicado: (2023)

The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central
por: Schindler, David, et al.
Publicado: (2022)

A novel framework based on deep learning for COVID-19 diagnosis from X-ray images
por: JavadiMoghaddam, SeyyedMohammad
Publicado: (2023)

Windows malware detection based on static analysis with multiple features
por: Yousuf, Muhammad Irfan, et al.
Publicado: (2023)

Analysis and tuning of hierarchical topic models based on Renyi entropy approach
por: Koltcov, Sergei, et al.
Publicado: (2021)

DNN-based multi-output model for predicting soccer team tactics
por: Lee, Geon Ju, et al.
Publicado: (2022)

Autonomous schema markups based on intelligent computing for search engine optimization
por: Abbasi, Burhan Ud Din, et al.
Publicado: (2022)

An ensemble learning based IDS using Voting rule: VEL-IDS
por: Emanet, Sura, et al.
Publicado: (2023)

A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms
por: Hartomo, Kristoko Dwi, et al.
Publicado: (2021)

A learning-based synthesis approach of reward asynchronous probabilistic games against the linear temporal logic winning condition
por: Zhao, Wei, et al.
Publicado: (2022)

Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms
por: Naeem, Muhammad Zaid, et al.
Publicado: (2022)

Data mining-based recommendation system using social networks—an analytical study
por: Ajmal, Sahar, et al.
Publicado: (2023)

Determining the factors affecting customer satisfaction using an extraction-based feature selection approach
por: Wu, Weishen, et al.
Publicado: (2022)

CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network
por: Zhao, Xiaoyan, et al.
Publicado: (2023)

Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic
por: Al-mashhadi, Saif, et al.
Publicado: (2021)

A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso
por: Wang, Tao
Publicado: (2021)

Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers
por: Jiang, Wei, et al.
Publicado: (2021)

ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
por: Kamyab, Marjan, et al.
Publicado: (2022)

Loitering behavior detection by spatiotemporal characteristics quantification based on the dynamic features of Automatic Identification System (AIS) messages
por: Wijaya, Wayan Mahardhika, et al.
Publicado: (2023)

Consumer behavior analysis based on Internet of Things platform and the development of precision marketing strategy for fresh food e-commerce
por: Zhang, Mengmeng
Publicado: (2023)

A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat
por: Witjes, Martijn, et al.
Publicado: (2022)

The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy
por: Prasetiyowati, Maria Irmina, et al.
Publicado: (2022)

A serendipity-biased Deepwalk for collaborators recommendation
por: Xu, Zhenzhen, et al.
Publicado: (2019)

A scalable discrete-time survival model for neural networks
por: Gensheimer, Michael F., et al.
Publicado: (2019)

SANgo: a storage infrastructure simulator with reinforcement learning support
por: Arzymatov, Kenenbek, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_vuc8ae59j334i01p8v48p5p8j1