Results 41 to 50 of about 15,313,493 (129)
application/pdf; "March 7, 2007."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by Steve Rarrick, Staff Attorney, Citizens' Utility Ratepayer Board.Testimony in opposition to the Substitute for House Bill 2278.
Rarrick, Steve (Craig Steven).
core
Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Al-Wagih K, Abdullah MA, Senan EM.
europepmc +1 more source
A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]
Bashir S.
europepmc +1 more source
application/pdf; "February 12, 2003."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in support of Senate Bill 80.
Springe, David.
core
A high utility itemsets mining algorithm based on co-evolution. [PDF]
Yang W, Han M, Dai Z, Li J, Ding J.
europepmc +1 more source
application/pdf; "February 18, 2003."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2374. The Citizens'
Springe, David.
core
Evidence-based precision in TCM: A systematic review and Meta-Analysis of data mining for syndrome-specific acupoint combinations in acute asthma exacerbations. [PDF]
Yang S, Yang Y, Ding Y, Liu X.
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Overview of frequent pattern mining. [PDF]
Ott J, Park T.
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application/pdf; "February 16, 2011."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2303.
Springe, David.
core
An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare. [PDF]
Sharma S, Sharma R, Kumar S, Min H.
europepmc +1 more source

