Findings and Implications from Data Mining the IMC Review Process
MetadataShow full item record
The computer science research paper review process is largely human and time-intensive. More worrisome, review processes are frequently questioned, and often non-transparent. This work advocates applying computer science methods and tools to the computer science review process. As an initial exploration, we data mine the submissions, bids, reviews, and decisions from a recent top-tier computer networking conference. We empirically test several common hypotheses, including the existence of readability, citation, call-for-paper adherence, and topical bias. From our findings, we hypothesize review process methods to improve fairness, efficiency, and transparency.
ACM SIGCOMM Computer Communications Review (CCR), January 2013.
Showing items related by title, author, creator and subject.
Boyle, John Earl (Monterey, California. Naval Postgraduate School, 1981-09);The federal computer acquisition process is examined by studying one particular major computer system acquisition. The manner in which the principals involved conducted the acquisition in relation to the political and ...
Cassidy, Regis H. Friend (Monterey, California. Naval Postgraduate School, 2005-09);The reporting process during computer analysis is critical in the practice of digital forensics. Case reports are used to review the process and results of an investigation and serve multiple purposes. The investigator may ...
Frame, Charles E. (Monterey, California. Naval Postgraduate School, 1994-03);This thesis is a review and analysis of personal computer and workstation operating systems. The emphasis is placed on UNIX, MS DOS, MS windows and OS/2 operating systems. UNIX is cover under the U.S. Government POSIX ...