Results 21 to 30 of about 15,313,493 (129)
A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI
Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items.
Pillai, Jyothi +4 more
core
A Survey on Discovering High Utility Itemset Mining from Transactional Database [PDF]
Data Mining is the process of evaluating data from different outlooks and summarizing it into useful information. It can be defined as the process that extracts information contained in very large database.
Patel, Shekhar, Madhushree, B
core +1 more source
Mining High Average-Utility Itemsets
[[abstract]]The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It
Hong, Tzung-Pei; Lee, Cho-Han; Wang, Shyue-Liang
core
application/pdf; "March 17, 2003."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2037.
Springe, David.
core +1 more source
Metaheuristics for Frequent and High-Utility Itemset Mining
Metaheuristics are often used to solve combinatorial problems. They can be viewed as general purpose problem-solving approaches based on stochastic methods, which explore very large search spaces to find near-optimal solutions in a reasonable time.
Djenouri, Youcef +7 more
core +1 more source
application/pdf; "January 29, 2009."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2020.
Springe, David.
core +1 more source
CLS-Miner: efficient and effective closed high-utility itemset mining [PDF]
High-utility itemset mining (HUIM) is a popular data mining task with applications in numerous domains. However, traditional HUIM algorithms often produce a very large set of high-utility itemsets (HUIs).
Quang-Huy Duong +7 more
core +1 more source
application/pdf; "February 19, 2008."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2806.
Springe, David.
core +1 more source
application/pdf; "March 17, 2003."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board."CURB is strongly opposed to what H.B.
Springe, David.
core +1 more source
application/pdf; "January 30, 2012."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2512.
Springe, David.
core +1 more source

