【人工智能类】国际会议截稿信息9条

全文截稿: 2017-11-20

开会时间: 2018-05-21

会议难度: ★★★

CCF分类: 无

会议地点: Melbourne, FL  USA

网址：http://users.csc.tntech.edu/~weberle/CFP2018.htm

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 (http://en.wikipedia.org/wiki/Data_mining).

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):
-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
-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
-Feature extraction and selection
-Post-processing techniques such as visualization, summarization, or trending
-Preprocessing and data reduction
-Knowledge engineering or warehousing

全文截稿: 2017-10-01

开会时间: 2018-03-18

会议难度: ★★

CCF分类: 无

会议地点: Beijing, China

网址：http://iasle.net/icsle2018/

The International Conference on Smart Learning Environments (ICSLE 2018) aims to bring together researchers, practitioners, and policy makers to discuss issues related to the optimization of learning environments to enhance learning. The focus is on the interplay of pedagogy, technology and their fusion towards the advancement of smart learning environments.

全文截稿: 2017-09-23

开会时间: 2017-12-04

会议难度: ★★

CCF分类: 无

会议地点: Jaipur, India

网址：https://www.elen.ucl.ac.be/