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ORCIDInternational Journal of Data Science and Analytics, Volume 19
Volume 19, Number 1, January 2025
- Daniel Lukats
, Oliver Zielinski, Axel Hahn, Frederic T. Stahl:
A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams. 1-31 - Agathe Sadeghi, Achintya Gopal, Mohammad Fesanghary:
Causal discovery from nonstationary time series. 33-59 - Mona Moradi, Mohammad Rahmanimanesh, Ali Shahzadi:
Learning from streaming data with unsupervised heterogeneous domain adaptation. 61-81 - Arefeh Mazarei, Ricardo Teixeira Sousa, João Mendes-Moreira, Slavo Molchanov, Hugo Miguel Mendes Ferreira:
Online boxplot derived outlier detection. 83-97 - Ece Calikus, Slawomir Nowaczyk, Onur Dikmen:
Context discovery for anomaly detection. 99-113 - Yuru Teng, Guotao Wang, Cailing He, Yaoyang Wu, Chaoran Li:
Optimization of Dynamic Time Warping Algorithm for Abnormal Signal Detection. 115-127 - Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches. 129-139 - Fei Zhang, Shuo Huang, Lijun Wang, Yongjun Zhang, Yanjiao Li, Xuezhong Huang:
Online segmented thickness prediction of hot rolling strip based on IBA-XGBoost. 141-154 - Shelernaz Azimi, Claus Pahl:
Anomaly analytics in data-driven machine learning applications. 155-180 - Enrico Boldrini, Roberto Roncella, Fabrizio Papeschi, Paolo Mazzetti, Dick Schaap, Peter Thijsse, Paul Weerheim, Stefano Nativi:
Correction to: Blue-cloud DAB: developing a platform to harmonize, assess and disseminate marine metadata collections. 181-182 - Atanu Dey, Mamata Jenamani:
Correction to: A framework for analyzing consumer satisfaction using deep learning and expectation-confirmation theory: with illustration of refurbished laptops. 183-184
Volume 19, Number 2, March 2025
- Goran Saman Nariman, Hozan K. Hamarashid:
Communication overhead reduction in federated learning: a review. 185-216 - Ken Kaneiwa, Yota Minami:
Feature selection based on the complexity of structural patterns in RDF graphs. 217-227 - Carolina Jerônimo, Zenilton Kleber Gonçalves do Patrocínio Jr., Simon Malinowski, Guillaume Gravier, Silvio Jamil Ferzoli Guimarães:
Decreasing graph complexity with transitive reduction to improve temporal graph classification. 229-242 - Osama Alshareet, Anjali Awasthi:
Enhancing e-commerce recommendations with a novel scale-aware spectral graph wavelets framework. 243-256 - Jun Huang, Yuan-Yuan Wang:
Multi-view parallel graph pooling. 257-267 - Yuan Xiangyi, Meng Chang, Hengyu Zhang, Liu Yongsheng:
Hypergraph projection enhanced collaborative filtering. 269-281 - Mariem Loukil, Lilia Sfaxi, Riadh Robbana:
How to create graphs in hardware-constrained environments? Choosing the best creation approach via machine learning-based predictive models. 283-302 - Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection. 303-318 - Bilgeçag Aydogdu, Hanif Samad, Shiqi Bai, Sami Abboud, Ilias Gorantis, Albert Ali Salah:
Analyzing international airtime top-up transfers for migration and mobility. 319-336 - Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
Supervised graph embedding for classification using discriminating frequent patterns. 337-349
Volume 19, Number 3, April 2025
- Neeraj Anand Sharma, A. B. M. Shawkat Ali, Muhammad Ashad Kabir:
A review of sentiment analysis: tasks, applications, and deep learning techniques. 351-388 - Razieh Abedi Rad, Mohammad Reza Yamaghani, Azamossadat Nourbakhsh:
A survey of sentiment analysis methods based on graph neural network. 389-417 - Neha Vaish, Nidhi Goel, Gaurav Gupta:
Sentiment analysis using AdBERT model. 419-433 - Amel Senouci, Hassina Meziane, Salima Benbernou:
Claim polarity analysis from conflicting sources. 435-451 - Anumula Sruthi, Anumula Kalyan Kumar, Kishore Dasari, Yenugu Sivaramaiah, Garikapati Divya, Sai chaitanya Kumar Gunupudi:
Multi-language: ensemble learning-based speech emotion recognition. 453-467 - Lulwah M. Al-Harigy, Hana A. Al-Nuaim, Naghmeh Moradpoor, Zhiyuan Tan:
Towards a cyberbullying detection approach: fine-tuned contrastive self-supervised learning for data augmentation. 469-490 - Alireza Taheri, Azadeh Zamanifar, Amirfarhad Farhadi:
Enhancing aspect-based sentiment analysis using data augmentation based on back-translation. 491-516 - Mohammad Rahimi, Vahid Kiani:
Improving stance detection accuracy in low-resource languages: a deep learning framework with ParsBERT. 517-535 - Muhammad Majadly, Mark Last:
Leveraging peer-review aspects for extractive and abstractive summarization of scientific articles. 537-550 - Sarsabene Hammi, Souha Hammami Mezghani, Lamia Hadrich Belguith:
A hybrid method for enhancing aspect sentiment classification in the french language: combining rule-based and learning methods. 551-571 - Ya-Han Hu, Chih-Fong Tsai, Yu-Chen Sun:
A novel hotel recommender system incorporating review sentiment and contextual information. 573-584 - Bruna Alves, Susana Brás, Raquel Sebastião:
Decoding pain: prediction under different emotional contexts through physiological signals. 585-602
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