Results 21 to 30 of about 2,623,624 (325)
Top āNā Variant Random Forest Model for High Utility Itemsets Recommendation [PDF]
High-utility based itemset mining is the advancement of recurrent pattern mining that discovers occurrence of frequent transactions from a huge database.
Pazhaniraja N +3 more
doaj +1 more source
A Survey of Key Technologies for High Utility Patterns Mining
Recently, high utility pattern mining (HUPM) is one of the most important research issues in data mining. Because it can consider the non-binary frequency values of items in a transaction and the different profit values of each item.
Chunyan Zhang +4 more
doaj +1 more source
An Efficient Approach for Mining Reliable High Utility Patterns
Utility mining is one of the most thriving research topics with a wide range of real-world applications. High utility pattern mining uses a utility function to extract all desired patterns that exceed a minimum utility threshold.
Mohammed A. Fouad +4 more
doaj +1 more source
Hiding Periodic High-Utility Sequential Patterns
The aim of mining High Utility Sequential Patterns (HUSPs) is to discover sequential patterns having a high utility (e.g. high profit) based on a user-specified minimum utility threshold. The existing algorithms for mining HUSPs are capable of discovering the complete set of all HUSPs. However, they usually generate a large number of patterns which may
Tai Dinh, Van-Nam Huynh, Bac Le
openaire +4 more sources
Mining compact high utility sequential patterns
Nippon (Japan) Applied Informatics Society ...
Dinh, Tai +2 more
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Top-k Average Utility Co-location Pattern Mining of Fuzzy Features [PDF]
The spatial co-location pattern refers to a subset of non-empty spatial features whose instances are frequently located together in a spatial neighborhood.
LI Jinhong, WANG Lizhen, ZHOU Lihua
doaj +1 more source
Closed High Utility Pattern Mining over Data Stream Based on Projection in the Window
A fast and effective algorithm EFIM_Closed_DS was proposed to mine closed and high utility itemsets in the data stream environment. The algorithm is based on the projection technology in the window, and the database projection technology and transaction ...
Muhang LI +4 more
doaj +1 more source
Mining significant high utility gene regulation sequential patterns [PDF]
<p><strong>Background</strong></p> <p>Mining frequent gene regulation sequential patterns in time course microarray datasets is an important mining task in bioinformatics. Although finding such patterns are of paramount important for studying a disease, most existing work do not consider gene-disease association during ...
Zihayat, Morteza +2 more
openaire +2 more sources
Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams [PDF]
High utility pattern mining is an emerging research topic in the data mining field. Unlike frequent pattern mining, high utility pattern mining deals with non-binary databases, in which the information about purchased quantities of items is maintained ...
Chiranjeevi Manike, Hari Om
doaj +1 more source
Some are Punished and Some are Rewarded: A Study of the Impact of Performance Pay on Job Satisfaction [PDF]
Using an econometric procedure that corrects for both self-selection of individuals into their preferred compensation scheme and wage endogeneity, this study investigates whether significant differences exist in the job satisfaction of individuals ...
McCausland, W. David +2 more
core +1 more source

