Inferring a Boolean Function from Positive and Negative Examples
Evangelos Triantaphyllou ()
Additional contact information
Evangelos Triantaphyllou: Louisiana State University
Chapter Chapter 2 in Data Mining and Knowledge Discovery via Logic-Based Methods, 2010, pp 21-56 from Springer
Abstract:
Abstract A central problem in data mining is how to analyze observations grouped into two categories and infer some key patterns that may be implied by these observations. As discussed in Chapter 1, these observations describe different sub states (of nature) states of nature of the system or phenomenon of interest to the analyst.
Date: 2010
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4419-1630-3_2
Ordering information: This item can be ordered from
http://www.springer.com/9781441916303
DOI: 10.1007/978-1-4419-1630-3_2
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().