Portfolio Mining

Journal article

Peer reviewed

Krishna P. C Madhavan, Mihaela Vorvoreanu, Niklas Elmqvist, Aditya Johri, Naren Ramakrishnan, G. Alan Wang and Ann McKenna

Computer (Long Beach, Calif.), Vol.45(10), pp.95-99

10/01/2012

DOI: 10.1109/MC.2012.351

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Portfolio mining facilitates the creation of actionable knowledge, catalyzes innovations, and sustains research communities.

Applied Sciences

Software

Artificial intelligence

Computer science; control theory; systems

Data processing. List processing. Character string processing

Exact sciences and technology

Learning and adaptive systems

Memory organisation. Data processing

Title: Subtitle: Portfolio Mining
Creators: Krishna P. C Madhavan - Purdue University West Lafayette
Mihaela Vorvoreanu - Purdue University West Lafayette
Niklas Elmqvist - Purdue University West Lafayette
Aditya Johri - Virginia Tech
Naren Ramakrishnan - Virginia Tech
G. Alan Wang - Virginia Tech
Ann McKenna - Arizona State University
Resource Type: Journal article
Publication Details: Computer (Long Beach, Calif.), Vol.45(10), pp.95-99
DOI: 10.1109/MC.2012.351
ISSN: 0018-9162
eISSN: 1558-0814
Publisher: IEEE Computer Society
Language: English
Date published: 10/01/2012
Academic Unit: Engineering Administration
Record Identifier: 9984459628502771

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