Methods for Investigation of Dependencies between Attributes in Databases

Georgieva, Tsvetanka. "Methods for Investigation of Dependencies between Attributes in Databases." Serdica Journal of Computing 3.3 (2009): 319-334. <http://eudml.org/doc/11361>.

@article{Georgieva2009,
abstract = {This paper surveys research in the field of data mining, which is related to discovering the dependencies between attributes in databases. We consider a number of approaches to finding the distribution intervals of association rules, to discovering branching dependencies between a given set of attributes and a given attribute in a database relation, to finding fractional dependencies between a given set of attributes and a given attribute in a database relation, and to collaborative filtering.},
author = {Georgieva, Tsvetanka},
journal = {Serdica Journal of Computing},
keywords = {Data Mining; Association Rules; Dependency Discovery; data mining; association rules; dependency discovery},
language = {eng},
number = {3},
pages = {319-334},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Methods for Investigation of Dependencies between Attributes in Databases},
url = {http://eudml.org/doc/11361},
volume = {3},
year = {2009},
}

TY - JOUR
AU - Georgieva, Tsvetanka
TI - Methods for Investigation of Dependencies between Attributes in Databases
JO - Serdica Journal of Computing
PY - 2009
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 3
IS - 3
SP - 319
EP - 334
AB - This paper surveys research in the field of data mining, which is related to discovering the dependencies between attributes in databases. We consider a number of approaches to finding the distribution intervals of association rules, to discovering branching dependencies between a given set of attributes and a given attribute in a database relation, to finding fractional dependencies between a given set of attributes and a given attribute in a database relation, and to collaborative filtering.
LA - eng
KW - Data Mining; Association Rules; Dependency Discovery; data mining; association rules; dependency discovery
UR - http://eudml.org/doc/11361
ER -