Results 91 to 100 of about 615 (220)

High Utility Itemsets Mining for Transactional Databases [PDF]

open access: yes, 2018
Mainstream issue in data mining, which is called "high-utility itemset mining" or all the more for the most part utility mining. High Utility Itemsets which are itemsets having an utility gathering a client determined least utility edge value i.e ...
Kurubindu, G, Lalitha kumari, P
core  

FINDING HIGH UTILITY ITEMSETS OVER DYNAMIC TRANSACTIONAL DATABASE USING UP-GROWTH AND UP-GROWTH+ ALGORITHM

open access: yes, 2021
Mining high utility itemsets is an important research area in data mining. Finding itemsets with high utility like profit from database is known as high utility itemset mining.
Mr. Siddheshwar V. Patil   +2 more
core   +1 more source

An Incremental High-Utility Mining Algorithm with Transaction Insertion

open access: yesThe Scientific World Journal, 2015
Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin   +3 more
doaj   +1 more source

PHUIMUS: A Potential High Utility Itemsets Mining Algorithm Based on Stream Data with Uncertainty [PDF]

open access: yes, 2017
High utility itemsets (HUIs) mining has been a hot topic recently, which can be used to mine the profitable itemsets by considering both the quantity and profit factors.
Ju Wang, Chunjie Jin, Fuxian Liu
core   +1 more source

Efficient algorithms for mining high utility itemsets from transactional databases.

open access: yes, 2012
a b s t r a c t Utility itemsets typically consist of items with different values such as utilities, and the aim of utility mining is to identify the itemsets with highest utilities.
Chun-Jung Chu   +2 more
core  

A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI

open access: yes, 2014
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  

Literature Review on Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

open access: yes, 2014
This paper presenting a survey on finding itemsets with high utility. For finding itemsets there are many algorithms but those algorithms having a problem of producing a large number of candidate itemsets for high utility itemsets which reduces mining ...
, Ketkee Kailas Gaikwad, Mininath Nighot
core   +1 more source

On efficiently mining high utility sequential patterns

open access: yes, 2016
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Wang, Jun-Zhe;Huang, Jiun-Long;Chen, Yi-Cheng
core   +1 more source

Mining High Utility Itemsets Using Bio-Inspired Algorithms: A Diverse Optimal Value Framework

open access: yesIEEE Access, 2018
Mining high utility itemsets (HUI) is an interesting research problem in the field of data mining and knowledge discovery. Recently, bio-inspired computing has attracted considerable attention, leading to the development of new algorithms for mining HUIs.
Wei Song, Chaomin Huang
doaj   +1 more source

MHUI-max: An efficient algorithm for discovering high-utility itemsets from data streams

open access: yes, 2011
Online mining of utility itemsets from data streams is one of the most interesting research issues in stream data mining. Although a number of relevant approaches have been proposed in recent years, they have the drawback of producing a large number of ...
Hua-Fu Li
core   +1 more source

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