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Output details

11 - Computer Science and Informatics

De Montfort University

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Output 46 of 104 in the submission

Output title

Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm

Type

E - Conference contribution

DOI

10.1007/978-3-642-21219-2_26

Name of conference/published proceedings

Lecture Notes in Computer Science

Volume number

6678

Issue number

First page of article

198

ISSN of proceedings

1611-3349

Year of publication

2011

URL

Number of additional authors

Additional information

<22> The work was part of a research project resulting from industrial collaborations, feeding back further applications e.g. www.venuesim.com, and with Northrop Grumman Park Air Systems (contact: Senior Market Development Manager, Market Deeping). The advances reported have enabled high profile collaboration between DMU, UK universities (Nottingham, Prof Robert John) and international partners (IATA, Technical Manager, Checkpoint of the Future, International Air Transport Association, Geneva, Switzerland, www.IATA.org) to seek funding for larger projects where these and newer results will be applied and taken further.

Interdisciplinary

Cross-referral requested

Research group

A - Centre for Computational Intelligence (CCI)

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract