Workshop 1. Tuesday, June 11th 09:00-10:30 (#101, 1F)
Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from such data, and currently is widespread in numerous fields, including science, engineering, healthcare, business, and medicine. Recently, the rapid growth of social networks and online services entailed that Knowledge Discovery approaches focused on the World Wide Web (WWW), whose popular use as global information system led to a huge amount of digital data. KDWeb 2019 is focused on the field of Knowledge Discovery from digital data, with particular attention for Data Mining, Machine Learning, and Information Retrieval methods, systems, and applications.
KDWeb 2019 is aimed at providing a venue to researchers, scientists, students, and practitioners involved in the fields of Knowledge Discovery on Data Mining, Information Retrieval, and Semantic Web, for presenting and discussing novel and emerging ideas. KDWeb 2019 will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.
Organizers: Giuliano Armano (University of Cagliari, Italy), Matteo Cristani (University of Verona, Italy)
Website: http://www.iascgroup.it/kdweb2019.html