DTWSM

The intimate presence of mobile devices in our daily life has dramatically changed the way we connect with the world around us. Users generate a variety of data including textual, multimedia, usage records/logs and social interaction data,etc. This provide a new data source to mine knowledge, track interesting targets or figure out relationships from them ultilizing the techniques of data mining. However, these massive, heterogeneous and non-synchronous data introduce significant challenges to the data, text, web, and social network mining, for example, generic data modeling and massive data process. How to achieve efficient, accurate, trustworthy, distributed and parallel mining results has become crucial of importance that significantly impacts future success of applications benefitted from data mining and its intelligence. In recent years, data, text, web, and social network mining (DTWSM) has been paid an increasing attention and gained serious studies towards being successfully applied in the practice of the data incentive applications and services. This workshop aims to bring together researchers and professionals from worldwide academia and industry for showcasing, discussing, and reviewing the whole spectrum of technological opportunities, challenges, solutions, and emerging applications in this research area.