A workshop to be held in conjunction with the KDD 2022 Conference
August 15, 2022
Washington, DC, USA
The Automated Machine Learning Market Research Report from 2021 predicts a tremendous growth in the automated machine learning market over the next decade. “The major factors driving the market are the burgeoning requirement for efficient fraud detection solutions, soaring demand for personalized product recommendations, and increasing need for predictive lead scoring.” The report also suggests that the COVID-19 pandemic has accelerated the increase in digital business models: “with many healthcare companies adopting machine-learning-enabled chatbots to enable the contactless screening of COVID-19 symptoms.” AutoML continues to generate very current and widespread attention regarding appropriate uses, current capabilities, limitations, challenges, and future potential (Forbes, 2021-02-23; Waring, J. et. al., 2020). SIGKDD's mission is to provide the premier forum for advancement, education, and adoption of the "science" of knowledge discovery and data mining from all types of data stored in computers and networks of computers. AutoML is the method of automating the process of knowledge discovery and data mining. With the dramatic growth in both dataset sizes and data mining algorithms' complexity, and with the critical importance of efficient and effective application of machine learning to today’s most difficult problems, AutoML is not only relevant but crucial to the mission of SIGKDD.
The goals of the AutoML workshop are:
To identify opportunities and challenges for automation in machine learning
To provide an opportunity for researchers to discuss best practices for automation in machine learning, potentially leading to definition of standards
To provide a forum for researchers to speak out and debate on different ideas in the area of automation in machine learning
Technical Sponsors: