ИСТИНА

FLAIRS in 2016 continues a 29-year tradition of presenting and discussing state of the art artificial intelligence and related research in a sociable atmosphere within a beautiful setting. Events will include invited speakers, special tracks, discussion panels, and presentations of papers, posters, and awards. Traditionally, FLAIRS features not only some of the world’s leading researchers but also quality submissions from students. Special tracks are held in parallel with the general conference and are an integral part of the conference. They provide researchers in focused areas the opportunity to meet and present their work, and offer a forum for interaction among the broader community of artificial intelligence researchers. Special track papers are required to meet the same standards as papers in the general conference and are published in the same conference proceedings. Data mining is the process of extracting hidden patterns from data. As more data is gathered, data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling services, such as marketing, surveillance, fraud detection and scientific discovery. This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing.