 | Freely available article in pre-press from volume 26, issue 6 of Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Content | Call for papers | Related publications | Share | Please feel free forward to your colleagues and share the news of our journal | Dear Colleague, Welcome to our journal newsletter for Intelligent Data Analysis (IDA). We are delighted to announce the publication of Volume 26, Issue 6. The content from this new issue is included below, as well as details on how to submit your research to the journal. Looking forward to working with you. With kind regards, Editor-in-Chief Jose M. Peña Founding Editor Fazel Famili | Content Editorial
Editorial RESEARCH ARTICLES
A novel density-based outlier detection method using key attributes
Qi, Zhuang | Chen, Xiaming Unsupervised feature extraction from multivariate time series for outlier detection – Open Access
Matsue, Kiyotaka | Sugiyama, Mahito Collusive anomalies detection based on collaborative markov random field
Shi, Haoran | Ji, Lixin | Liu, Shuxin | Wang, Kai | Hu, Xinxin DCE-IVI: Density-based clustering ensemble by selecting internal validity index
Li, Qinlu | Du, Tao | Zhang, Rui | Zhou, Jin | Qu, Shouning Adaptive fuzzy C-means clustering integrated with local outlier factor
She, Chunyan | Zeng, Shaohua | Wang, Qi | Wang, Shuai | Xu, Yidan A fast method for discovering suitable number of clusters for fuzzy clustering
Hsu, Ping-Yu | Nguyen, Phan-Anh-Huy Graph structure learning based on feature and label consistency
Yuan, Jinliang | Yao, Yirong | Xu, Ming | Yu, Hualei | Xie, Junyuan | Wang, Chongjun Credit scoring based on a Bagging-cascading boosted decision tree
Zou, Yao | Gao, Changchun | Xia, Meng | Pang, Congyuan RBSP-Boosting: A Shapley value-based resampling approach for imbalanced data classification
Chong, Weitu | Chen, Ningjiang | Fang, Chengyun | Most Read IDA Articles Most read research articles via IOS Press Content Library published online in 2021 & 2022 A multi-label feature selection method based on an approximation of interaction information - (Research Article in Vol. 26, Iss. 4, 2022)
Minlan | Sun, Zhanquan | Wang, Chaoli | Cao, Gaoyu RGCF: Refined graph convolution collaborative filtering with concise and expressive embedding - (Research Article in Vol. 26, Iss. 2, 2022)
Liu, Kang | Xue, Feng | Hong, Richang DAMGNN: Deep adaptive multi-channel graph neural networks - (Research Article in Vol. 26, Iss. 4, 2022)
Li, Yuqiang | Chen, Wei | Liao, Jing | Liu, Chun MEGA: Predicting the best classifier combination using meta-learning and a genetic algorithm - Open Access (Research Article in Vol. 25, Iss. 6, 2021)
Golshanrad, Paria | Rahmani, Hossein | Karimian, Banafsheh | Karimkhani, Fatemeh | Weiss, Gerhard An efficient isomorphic CNN-based prediction and decision framework for financial time series - (Research Article in Vol. 26, Iss. 4, 2022)
Liu, Zhongming | Luo, Hang | Chen, Peng | Xia, Qibin | Gan, Zhihao | Shan, Wenyu | Call for Papers As a member of our research community, we would like to invite you to contribute your own work for publication in the journal. Intelligent Data Analysis offers contributing authors many benefits, including: · First class Editorial Board · Rigorous peer review and speedy manuscript processing Intelligent Data Analysis is indexed in Web of Science has an Impact Factor of 1.321*, and is also indexed in Scopus. Please see the Abstracting/Indexing information for further details. View the detailed Instructions to Authors. There are three special issues of the IDA journal under preparation
entitled: "Deep Learning for Accident Prediction and Analysis Using Traffic Data", "Machine Learning Based Computational Bioinformatics for Healthcare Big Data" and "Image Mining and Knowledge Discovery for Business Applications" that are scheduled for publication for next year (2023). Submit your manuscripts directly to the Guest Editors of your preferred special issue. *Journal Citation Reports (Source: Clarivate, 2021) | Please share the newsletter with your colleagues! If you know any colleagues and fellow researchers who are not signed up to receive the IDA newsletter, we invite you to share this mailing with them.
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