Inter-transactional association rules for multidimensional contexts for prediction and their applications to studying meteorological data

L. Feng, T. Dillon, J. Liu

Research output: Contribution to journal › Article › Scientific › peer-review

Cite this

@article{4a2638a92d7b47f0a0fbcd610486e0c4,

title = "Inter-transactional association rules for multidimensional contexts for prediction and their applications to studying meteorological data",

author = "L. Feng and T. Dillon and J. Liu",

note = "Pagination: 30",

year = "2001",

language = "English",

volume = "37",

pages = "85--115",

journal = "Data & Knowledge Engineering",

issn = "0169-023X",

publisher = "Elsevier B.V.",

number = "1",

}

TY - JOUR

T1 - Inter-transactional association rules for multidimensional contexts for prediction and their applications to studying meteorological data

AU - Feng, L.

AU - Dillon, T.

AU - Liu, J.

N1 - Pagination: 30

PY - 2001

Y1 - 2001

M3 - Article

SN - 0169-023X

VL - 37

SP - 85

EP - 115

JO - Data & Knowledge Engineering

JF - Data & Knowledge Engineering

IS - 1

ER -