DataMining@FLAIRS2020

FLAIRS 2020


Data Mining & Analysis



Papers are being solicited for a special track on Data Mining at the 33rd International FLAIRS Conference (https://www.flairs-33.info/home). The special track will be devoted to data mining with the aim of presenting new and important contributions in this area. The areas include, but are not limited to, the following: applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, intrusion detection, remote sensing, earth sciences, bioinformatics, and astronomy; modeling algorithms such as hidden Markov, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; pre-processing and data reduction; data engineering or warehousing; graph analytics, including novel graph-based pattern discovery techniques, anomaly detection, and novel applications of graph theory; or other data mining research which is related to artificial intelligence.
Questions regarding the track should be addressed to: David Bisant at bisant@umbc.edu or Bill Eberle at weberle@tntech.edu.