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ORCIDWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 11
Volume 11, Number 1, January 2021
- Roberto Confalonieri
, Ludovik Coba, Benedikt Wagner, Tarek R. Besold:
A historical perspective of explainable Artificial Intelligence. - Bruhadeshwar Bezawada, Indrakshi Ray, Indrajit Ray:
Behavioral fingerprinting of Internet-of-Things devices.
- Luiz M. R. Gadelha Jr., Pedro C. de Siracusa, Eduardo Couto Dalcin, Luís Alexandre Estevão da Silva, Douglas Adriano Augusto, Eduardo Krempser, Helen Michelle Affe, Raquel Lopes Costa, Maria Luiza Mondelli, Pedro Milet Meirelles, Fabiano L. Thompson, Marcia Chame, Artur Ziviani, Marinez Ferreira de Siqueira:
A survey of biodiversity informatics: Concepts, practices, and challenges. - Manjari Pradhan, Bhargab B. Bhattacharya:
A survey of digital circuit testing in the light of machine learning. - Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Sakir Hossain, Md-Mizanur Rahoman, Sumon Kumar Debnath, Md. Golam Rashed, Md. Zasim Uddin:
Privacy preserving big data analytics: A critical analysis of state-of-the-art. - Inda Kreso, Amra Kapo, Lejla Turulja:
Data mining privacy preserving: Research agenda.
- Hongfei Jia, De-He Yang, Weiping Deng, Qing Wei, Wenliang Jiang:
Predicting land surface temperature with geographically weighed regression and deep learning.
Volume 11, Number 2, March 2021
- Rohit Verma, Sandip Chakraborty:
Smartphones for public transport planning and recommendation in developing countries - A review. - Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal:
Scholarly data mining: A systematic review of its applications.
- Ebtesam E. Shemis, Ammar Mohammed:
A comprehensive review on updating concept lattices and its application in updating association rules. - Isam A. Alobaidi, Jennifer L. Leopold, Ali A. Allami, Nathan W. Eloe, Dustin Tanksley:
Predictive analysis of real-time strategy games: A graph mining approach. - Ping Luo, Bolin Chen, Bo Liao, Fang-Xiang Wu:
Predicting disease-associated genes: Computational methods, databases, and evaluations. - Mostafa Haghir Chehreghani:
Dynamical algorithms for data mining and machine learning over dynamic graphs.
- Yuankui Cao, Junqing Fan, Hong Cao, Yunliang Chen, Jie Li, Jianxin Li, Simin Zhang:
Prediction model for recurrence of hepatocellular carcinoma after resection by using neighbor2vec based algorithms.
Volume 11, Number 3, May 2021
- Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu:
Data stream analysis: Foundations, major tasks and tools. - Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer:
Introduction to neural network-based question answering over knowledge graphs. - Marian Cristian Mihaescu, Paul-Stefan Popescu:
Review on publicly available datasets for educational data mining.
- Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, Fernando Silva:
Time series analysis via network science: Concepts and algorithms. - Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang:
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. - Ezgi Zorarpaci, Selma Ayse Özel:
Privacy preserving classification over differentially private data. - Jongwook Woo, Monika Mishra:
Predicting the ratings of Amazon products using Big Data.
Volume 11, Number 4, July 2021
- Glenda C. M. Amaral, Fernanda Baião, Giancarlo Guizzardi:
Foundational ontologies, ontology-driven conceptual modeling, and their multiple benefits to data mining.
- Sara Bonfitto, Elena Casiraghi, Marco Mesiti:
Table understanding approaches for extracting knowledge from heterogeneous tables.
- Wenxuan Liu, Junhua Zhao, Dianhui Wang:
Data mining for energy systems: Review and prospect. - Namrata Bhattacharya, Colleen C. Nelson, Gaurav Ahuja, Debarka Sengupta:
Big data analytics in single-cell transcriptomics: Five grand opportunities. - Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, Abhishek Mahajan, Swapnil Ulhas Rane:
A 2021 update on cancer image analytics with deep learning.
- Yue Huang:
Incorporating domain ontology information into clustering in heterogeneous networks.
- Daniel Gustavo Goroso, Alvaro Fraga, Michel Macedo, Carla Fernanda de Miranda Rodrigues, Bruno Mendes de Oliveira Silva, William Tsutomu Watanabe, Diego Pereira da Silva, Robson Rodrigues da Silva, José Luis Puglisi, James Marcin, Madan Dharmar:
Automatic segmentation to characterize anthropometric parameters and cardiovascular indicators in children.
Volume 11, Number 5, September 2021
- Plamen P. Angelov, Eduardo A. Soares, Richard Jiang, Nicholas I. Arnold, Peter M. Atkinson:
Explainable artificial intelligence: an analytical review. - Krittakom Srijiranon, Narissara Eiamkanitchat, Sakgasit Ramingwong, Kenneth Cosh, Lachana Ramingwong:
Investigation of PM10 prediction utilizing data mining techniques: Analyze by topic.
- Ce Yu, Kun Li, Yanxia Zhang, Jian Xiao, Chenzhou Cui, Yihan Tao, Shanjiang Tang, Chao Sun, Chongke Bi:
A survey on machine learning based light curve analysis for variable astronomical sources. - Zahid Hasan, Nirmalya Roy:
Trending machine learning models in cyber-physical building environment: A survey. - Ganesh Chandrasekaran, Tu N. Nguyen, Jude Hemanth D.:
Multimodal sentimental analysis for social media applications: A comprehensive review.
Volume 11, Number 6, November 2021
- Yunlong Zhao, Linwei Ma, Zheng Li, Weidou Ni:
The development of regional smart energy systems in the World and China: The concepts, practices, and a new perspective.
- Ibrahim Jubran, Alaa Maalouf, Dan Feldman:
Overview of accurate coresets. - Zahra Abbasiantaeb, Saeedeh Momtazi:
Text-based question answering from information retrieval and deep neural network perspectives: A survey. - Palaiahnakote Shivakumara, Alireza Alaei, Umapada Pal:
Mining text from natural scene and video images: A survey. - Garima Jaiswal, Arun Sharma, Sumit Kumar Yadav:
Critical insights into modern hyperspectral image applications through deep learning.
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