Outlier finding: Focusing user attention on possible errors

UIST (User Interface Software and Technology): Proceedings of the ACM Symposium

Volumn , Issue , 2001, Pages 81-90

  Miller, Robert C ^a   Myers, Brad A ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Cluster analysis; Intelligent user interfaces; LAPIS; Pattern matching; PBD; Programming by demonstration; Search and replace; Text editing; Unsupervised learning

Indexed keywords

ERROR DETECTION; FILE EDITORS; HTML; PATTERN MATCHING;

INTELLIGENT USER INTERFACES;

USER INTERFACES;

EID: 0035750771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. The Jabberwocky
2. Demonstrational automation of text editing tasks involving multiple focus points and conversions
3. Algorithms for mining distance-based outliers in large datasets
4. Lightweight structured text processing
5. Synchronizing clipboards of multiple computers
6. Interactive simultaneous editing of multiple text regions
7. Induction of decision trees
8. Agrep - A fast approximate pattern searching tool