TY - BOOK ID - 85687343 TI - 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV) PY - 2020 SN - 1728184681 172818469X PB - Piscataway, NJ : IEEE, DB - UniCat KW - Data mining KW - Information visualization UR - https://www.unicat.be/uniCat?func=search&query=sysid:85687343 AB - Gaining insight from massive data is critical for disciplines such as climate science, nuclear physics, security, materials design, transportation, urban planning, and so on Business critical decisions are made based on massive data in domains like social media, machine learning, software telemetry, and business intelligence The tools and approaches needed to search, analyze, and visualize data at extreme scales can be fully realized only from end to end solutions, and with collective, interdisciplinary efforts The LDAV symposium is specifically targeting methodological innovation, algorithmic foundations, and possible end to end solutions It will bring together domain experts, data analysts, visualization researchers, and users to foster common ground for solving both near term and long term problems. ER -