Annual conference serves as the premier forum for presentation of results in the field of data mining, both in the form of cutting edge research, and in the form of insights from the development and deployment of real world applications.
Conference aims to provide an international forum that formally explores various business insights of all kinds of value-added 'services.' Big Data is a key enabler of exploring business insights and economics of services.
The tools and approaches needed to mine, analyze, and visualize data at extreme scales can be fully realized only if there are end-to-end solutions, which demands collective, interdisciplinary efforts. The LDAV symposium will bring together domain scientists, data analysts, visualization researchers, and users to foster common ground for solving both near- and long-term problems.
Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. VDS will bring together domain scientists and methods researchers (including visualization, usability and HCI, data management, statistics, machine learning, and software engineering) to discuss common interests, talk about practical issues, and identify open research problems in visualization in data science.
aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges and emerging technologies on topics relevant to today's fast moving areas of Computer, Communication and Informatics.
The conference provided a venue for researchers who are addressing applications of data mining in numerous fields, including science, engineering, healthcare, business, and medicine, to present their work in a peer-reviewed forum.
The purpose of this document is to recommend data visualization practices that will help education agencies communicate data meaning in visual formats that are accessible, accurate, and actionable for a wide range of education stakeholders. Although this resource is designed for staff in education agencies, many of the visualization principles apply to other fields as well.