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ORCIDWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 12
Volume 12, Number 1, January 2022
- Xiaoyun Jia
, Ruili Wang, James H. Liu, Chuntao Jiang:
Discovery of behavioral patterns in online social commerce practice.
- Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu:
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota. - Bei Luo, Raymond Y. K. Lau, Chunping Li, Yain-Whar Si:
A critical review of state-of-the-art chatbot designs and applications.
- Jeroen Ooge, Gregor Stiglic, Katrien Verbert:
Explaining artificial intelligence with visual analytics in healthcare. - Sahar Yassine, Seifedine Kadry, Miguel-Ángel Sicilia:
Detecting communities using social network analysis in online learning environments: Systematic literature review. - Robert Moskovitch:
Multivariate temporal data analysis - a review. - Sugata Banerji, Sushmita Mitra:
Deep learning in histopathology: A review. - Bin Yu, Wenjie Mao, Yihan Lv, Chen Zhang, Yu Xie:
A survey on federated learning in data mining.
Volume 12, Number 2, March 2022
- Animesh Ray:
Machine learning in postgenomic biology and personalized medicine. - Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama:
Methods and tools for causal discovery and causal inference.
- Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan:
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance. - Antonella Guzzo, Antonino Rullo, Eugenio Vocaturo:
Process mining applications in the healthcare domain: A comprehensive review. - Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra:
Machine learning methods for generating high dimensional discrete datasets. - Giles C. Oatley:
Themes in data mining, big data, and crime analytics.
- Christina Nießl, Moritz Herrmann, Chiara Wiedemann, Giuseppe Casalicchio, Anne-Laure Boulesteix:
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results. - Marco Alfonse, Mariam Gawich:
A novel methodology for Arabic news classification.
- The use of machine learning in sport outcome prediction: A review.
- Facial feature discovery for ethnicity recognition.
Volume 12, Number 3, May 2022
- Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi:
A survey on datasets for fairness-aware machine learning.
- Brandon B. G. Khoo, Raphaël C.-W. Phan, Chern Hong Lim:
Deepfake attribution: On the source identification of artificially generated images. - Theresa Ullmann, Christian Hennig, Anne-Laure Boulesteix:
Validation of cluster analysis results on validation data: A systematic framework. - Neelam Sharma, Naorem Leimarembi Devi, Satakshi Gupta, Gajendra P. S. Raghava:
Computational resources in healthcare. - Sérgio Moro, Paulo Rita:
Data and text mining from online reviews: An automatic literature analysis.
- Gurol Canbek:
Gaining insights in datasets in the shade of "garbage in, garbage out" rationale: Feature space distribution fitting.
Volume 12, Number 4, July 2022
- Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero:
A review on data fusion in multimodal learning analytics and educational data mining. - Nisha Singh, Kranti Kumar:
A review of bus arrival time prediction using artificial intelligence.
- Lam B. Q. Nguyen, Ivan Zelinka, Václav Snásel, Loan T. T. Nguyen, Bay Vo:
Subgraph mining in a large graph: A review. - Jianping Yu, Jilin Fu, Tana Bai, Xueping Xu:
Review and data mining of linguistic studies of English modal verbs. - Sanaa Kaddoura, Rowanda Daoud Ahmed, Jude Hemanth D.:
A comprehensive review on Arabic word sense disambiguation for natural language processing applications. - Arup Kumar Sahoo, Snehashish Chakraverty:
Machine intelligence in dynamical systems: \A state-of-art review. - Abhijit Dasgupta, Abhisek Bakshi, Srijani Mukherjee, Kuntal Das, Soumyajeet Talukdar, Pratyayee Chatterjee, Sagnik Mondal, Puspita Das, Subhrojit Ghosh, Archisman Som, Pritha Roy, Rima Kundu, Akash Sarkar, Arnab Biswas, Karnelia Paul, Sujit Basak, Krishnendu Manna, Chinmay Saha, Satinath Mukhopadhyay, Nitai P. Bhattacharyya, Rajat K. De:
Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence.
- Anita Christaline Johnvictor, Austin Joe Amalanathan, Ramya Meghana Pariti Venkata, Nishtha Jethi:
Critical review of bio-inspired data optimization techniques: An image steganalysis perspective. - Zita Abreu, Lucas Pereira:
Privacy protection in smart meters using homomorphic encryption: An overview.
Volume 12, Number 5, September 2022
- So-Min Cheong, Kris Sankaran, Hamsa Bastani:
Artificial intelligence for climate change adaptation.
- José-Víctor Rodríguez, Ignacio Rodríguez-Rodríguez, Wai Lok Woo:
On the application of machine learning in astronomy and astrophysics: A text-mining-based scientometric analysis. - Megha Chaudhary, Divya Bansal:
Open source intelligence extraction for terrorism-related information: A review.
- Aurora Esteban, Amelia Zafra, Sebastián Ventura:
Data mining in predictive maintenance systems: A taxonomy and systematic review. - Frank Emmert-Streib, Matthias Dehmer:
Taxonomy of machine learning paradigms: A data-centric perspective. - Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
Mining the online infosphere: A survey.
Volume 12, Number 6, November 2022
- Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut:
Review of automated time series forecasting pipelines. - Mohammed M. Abdelsamea, Usama Zidan, Zakaria Senousy, Mohamed Medhat Gaber, Emad Rakha, Mohammad Ilyas:
A survey on artificial intelligence in histopathology image analysis. - Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem, Roohallah Alizadehsani, Sai Ho Ling:
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works.
- Xifeng Guo, Xinlu Wang, Yanshuang Ao, Wei Dai, Ye Gao:
Short-term photovoltaic power forecasting with adaptive stochastic configuration network ensemble. - Jianing Li, Xin Yao:
Corporate investment prediction using a weighted temporal graph neural network.
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