Your health and safety are our top priority. Given the uncertainty caused by COVID-19 outbreak, we will work with SIGKDD'20 organizers to investigate feasible options such as a virtual workshop, or a mix of virtual and in-person workshop. We will ensure the quality of digital workshop experience.
BIOKDD'20 will feature a special theme of Battling COVID-19, including a series of invited talks by world-renowned experts on their recent and on-going COVID-19 research. We will also invite healthcare professionals fighting at the front line of COVID-19 pandemic from countries that succeed at flattening the curve (such as China and South Korea) to share their experience.
Besides full workshop papers, we are also soliciting abstracts that introduce preliminary research outcomes to increase research impact and to nurture collaborations, and late-breaking research that introduces published work with exceptionally high practical significance.
Authors of all accepted submissions will be allocated time to give an oral presentation, and as our tradition, full workshop papers will be invited to publish in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). This year, quality abtracts will also be invited for extending into a full journal article for submission in TCBB.
Bioinformatics is the science of managing, mining, and interpreting information from biological data, and data mining plays an essential role in addressing the fundamental problems in Biomedical Informatics. The annual BIOKDD workshop is an established forum for researchers and practitioners of Biomedical Informatics and Data Mining to explore cutting-edge techniques and to exchange ideas and experiences. BIOKDD has been successfully held in conjunction with SIGKDD for 18 years.
The goal of the 19th International Workshop on Data Mining in Bioinformatics (BIOKDD'20) is to encourage KDD researchers to tackle the numerous challenges of mining and learning in Bioinformatics, Biomedical and Health Informatics. We are soliciting papers and abstracts that presenting research that utilizes Big Data technology, data visualization, and effective data mining and machine learning approaches to analyze large amounts of heterogeneous complex biological and medical data, together with those that describe innovative applications in Bioinformatics and Health Informatics. The key goal is to accelerate the convergence between Data Mining and Biomedical Informatics communities to expedite discoveries in basic biology, medicine and healthcare. Research that battles the COVID-19 pandemic is especially encouraged.