Incremental learning of system log formats

Operating Systems Review (ACM)

Volumn 44, Issue 1, 2010, Pages 85-90

  Zhu, Kenny Q ^a   Fisher, Kathleen ^b   Walker, David ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b AT AND T LABS RESEARCH   (United States)

^c PRINCETON UNIVERSITY   (United States)

Author keywords

Ad hoc data; Analysis of system logs; Domain specific languages; Grammar induction; PADS; Parsing; Tool generation

Indexed keywords

AD HOC DATUM; ANALYSIS OF SYSTEM LOGS; DOMAIN SPECIFIC LANGUAGES; GRAMMAR INDUCTION; PADS; PARSING; TOOL GENERATION;

COMPUTATIONAL GRAMMARS; FORMAL LANGUAGES; PROBLEM ORIENTED LANGUAGES;

DATA HANDLING;

EID: 77958144057     PISSN: 01635980     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1740390.1740410     Document Type: Article

References (5)

1. J. Earley. An efficient context-free parsing algorithm. Communications of the ACM, 13(2):94-102, 1970.
2. K. Fisher and R. Gruber. PADS: A domain specific language for processing ad hoc data. In PLDI, pages 295-304, June 2005.
3. K. Fisher, D. Walker, K. Zhu, and P. White. From dirt to shovels: Fully automatic tool generation from ad hoc data. In POPL, January 2008.
4. P. D. Grünwald. The Minimum Description Length Principle. MIT Press, May 2007.
5. Q. Xi, K. Fisher, D. Walker, and K. Q. Zhu. Ad hoc data and the token ambiguity problem. In PADL'09, 2009.