The NJBDA Research Committee invites submissions to the Journal of Big Data: Theory and Practice, the flagship journal of the NJBDA. JBDTP is an open access peer-reviewed online journal which is devoted to the publication of high-quality papers on the theoretical and practical aspects of big data, AI and machine learning. We solicit submissions on all aspects of big data, AI and machine learning theory, application and practice. Manuscript submissions are on a rolling basis, and remain open. Download the call for JBDTP manuscripts (PDF).
Submit manuscripts at the Journal of Big Data: Theory and Practice page.