Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems
- DOI
- 10.1007/978-3-662-44654-6_1
- Published
- 2014
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-662-44654-6_1,
title = {Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems},
author = {Tharam S. Dillon and Yi-Ping Phoebe Chen and Elizabeth Chang and Mukesh Mohania},
year = {2014},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-662-44654-6_1},
url = {https://doi.org/10.1007/978-3-662-44654-6_1}
}RIS
TY - JOUR TI - Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems AU - Tharam S. Dillon AU - Yi-Ping Phoebe Chen AU - Elizabeth Chang AU - Mukesh Mohania PY - 2014 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-662-44654-6_1 UR - https://doi.org/10.1007/978-3-662-44654-6_1 ER -
APA
Dillon, T. S., Chen, Y. P., Chang, E., & Mohania, M. (2014). Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-662-44654-6_1
Source records
- crossref · retrieved 2026-11-10T11:43:50.367Z