2023 International Conference on the Cooperation and Integration of Industry, Education, Research and Application (Chongqing)
New Generation of Information Technology Working Conference

The 9th International Conference on Fuzzy Systems and Data Mining (FSDM 2023)

Abstract: As an important process of data preprocessing, unsupervised learning has received a lot of attention in the context of big data. Because normal unsupervised learning cannot capture overlapping regions, and they are extended to soft unsupervised learning. Fuzzy clustering is one of the most popular soft clustering algorithms. Fuzzy C-means (FCM) is the most commonly used fuzzy clustering algorithm, which makes the model retain more information by extending the degree of sample belonging to the cluster to the values in the interval [0,1]. But FCM is time-consuming in processing large-scale data, thus limiting its application in large-scale scenarios. In addition, FCM is sensitive to noise or outliers. To solve these key problems, we integrate anchor graph and dimensionality reduction into the fuzzy clustering framework on the basis of FCM model, and effectively expand the analysis ability of fuzzy clustering algorithm in large-scale data from sample dimension and feature dimension. Furthermore, we explore the three-way space structure for clustering categorical data based on three-way concepts and we also present our an initial attempt to develop sparse convoluted rank principal component analysis.

Biography: Prof. Hongying Zhang is a doctoral supervisor at the School of Mathematics and Statistics, Xi 'an Jiaotong University. Her research interests include but not limited: Soft computing, Big data analysis of cognitive uncertainty, Statistical machine learning, Artificial Intelligence. She has published more than 50 academic papers in famous international journals, of which more than 20 are included in SCI and 2 ESI papers. She is currently the standing member of the Non-classical Logic and Computing Committee of the Chinese Logic Society; She is a member of the Committee of Statistical Cross Science Branch of China Field Statistics Research Society, the Committee of Granular Computing and Knowledge Discovery of Chinese Society for Artificial Intelligence, the Committee of Fuzzy Mathematics and Fuzzy Systems of Chinese Society for Systems Engineering, the Committee of Knowledge Engineering and Distributed Intelligence of Chinese Society for Artificial Intelligence, and the Executive director of Shaanxi Provincial Statistics Society. She has had many academic exchanges with famous universities at home and abroad, such as the University of Texas at Austin, the Chinese University of Hong Kong, and the University of Regina in Canada. Hosted in many projects under the National Natural Science Foundation, and participated as key member in Science and Technology Innovation 2030- a new generation of Artificial Intelligence. She is also in the Editorial board of the Q1 magazine Mathematics.