Access prediction for knowledge workers in enterprise data repositories

ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings

Volumn 1, Issue , 2015, Pages 150-161

  Verma, Chetan ^a   Hart, Michael ^b   Bhatkar, Sandeep ^b   Parker Wood, Aleatha ^b   Dey, Sujit ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SYMANTEC RESEARCH LABS   (United States)

Author keywords

Enterprise; File systems; Information retrieval; Machine learning

Indexed keywords

FILE ORGANIZATION; FORECASTING; INDUSTRY; INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; METADATA;

ENTERPRISE DATA; FILE ACCESS; FILE SYSTEMS; KNOWLEDGE WORKERS; NETWORK FILE SYSTEM; PREDICTION MODEL; TRAIN MODEL; USER ACTIVITY;

SEARCH ENGINES;

EID: 84939502431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0005374901500161     Document Type: Conference Paper

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