Results 31 to 40 of about 15,313,493 (129)
Effective Utility Mining with the Measure of Average Utility
[[abstract]]Frequent-itemset mining only considers the frequency of occurrence of the items but does not reflect any other factors, such as price or profit.
洪宗貝, Lee, Cho-Han, 王學亮
core
application/pdf; "March 18, 2014."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in support of Senate Bill 428. "S.B.
Springe, David.
core +1 more source
application/pdf; "January 27, 2011."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Resolution 5005.
Springe, David.
core +1 more source
application/pdf; "March 19, 2015."; Testimony before the Kansas Legislature, Senate Assessment and Taxation Committe, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to Senate Bill 261 ...
Springe, David.
core +1 more source
HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth. [PDF]
Wang L, Wang S.
europepmc +1 more source
application/pdf; "February 2, 2009."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony regarding House Bill 2116.
Springe, David.
core
application/pdf; "February 6, 2008."; Includes a copy of testimony on House Bill 2682 presented before the Kansas Legislature, House Utilities Committee, by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board on January 31, 2008.;
Springe, David.
core
application/pdf; "January 29, 2009."; Includes the exact same testimony which was presented to the House Utilities Committee by David Springe, Consumer Counsel, also on January 29, 2009, concerning House Bill 2051.; Testimony before the Kansas ...
Springe, David.
core
Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]
Mariadhason JS +3 more
europepmc +1 more source
Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]
Le N, Vo H, Nguyen T.
europepmc +1 more source

