Results 61 to 70 of about 15,313,957 (171)

High Utility Itemsets Identification in Big Data

open access: yes, 2017
High utility itemset mining is an important data mining problem which considers profit factors besides quantity from the transactional database. It helps find the most valuable products/items that are difficult to track using only the frequent data ...
Tamrakar, Ashish
core   +1 more source

A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases

open access: yesIEEE Access, 2020
Analyzing customer transactions to discover high-utility itemsets is a popular task, which consists of finding the sets of items that are purchased together and yield a high profit.
Bay Vo   +4 more
doaj   +1 more source

PUC: parallel mining of high-utility itemsets with load balancing on spark

open access: yesJournal of Intelligent Systems, 2022
Distributed programming paradigms such as MapReduce and Spark have alleviated sequential bottleneck while mining of massive transaction databases. Of significant importance is mining High Utility Itemset (HUI) that incorporates the revenue of the items ...
Brahmavar Anup Bhat   +2 more
doaj   +1 more source

Global Copper Deposit Dataset: A New Open‐Source Database for Advanced Data Analysis and Exploration Targeting

open access: yesGeoscience Data Journal, Volume 13, Issue 1, January 2026.
We build a new, open‐source global copper deposit dataset (GCDD), facilitating AI‐driven data analysis for exploration targeting and improving our understanding of copper mineralizing systems and their mappable expressions. The GCDD hosts information about 1483 copper deposits worldwide, capturing key deposit attributes such as location, genetic type ...
Bin Wang   +2 more
wiley   +1 more source

High-utility Itemsets Mining Algorithm Based on Double Binary Particle Swarm Optimization [PDF]

open access: yesJisuanji gongcheng, 2018
High-utility itemset mining algorithm is an important part of association analysis.By improving the basic binary particle swarm optimization algorithm,a Double Binary Particle Swarm Optimization(DBPSO) algorithm is proposed.The minimum utility threshold ...
JIN Xiaole,LIU Xiabi,MA Xiao
doaj   +1 more source

A Design‐Driven Machine Learning Approach for Invariant Mining in a Smart Grid

open access: yesIET Cyber-Physical Systems: Theory &Applications, Volume 11, Issue 1, January/December 2026.
An ICS is vulnerable to cyber‐attacks arising from within its communication network or directly from the SCADA and devices such as PLCs. The study reported here presents a scenario‐specific invariant mining approach to detect anomalies in plant behaviour.
Danish Hudani   +5 more
wiley   +1 more source

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

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

Extraction of Safe Operation Rules and Identification of Vulnerable Nodes in Power Grids Based on Time‐Series Association Analysis

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a data‐driven framework for operational safety rule extraction and vulnerable node identification in power grids with high renewable penetration. The effectiveness of the proposed method is verified on the IEEE 39‐bus system for static security assessment. ABSTRACT High renewable energy penetration introduces significant uncertainty
Zhilin Huang   +6 more
wiley   +1 more source

From Prediction to Prevention: Using Text Mining and Explainable Machine Learning for Urban Bus Accident Analytics

open access: yesRisk Analysis, Volume 46, Issue 1, January 2026.
ABSTRACT Urban bus accidents present major safety and operational challenges, particularly in densely populated metropolitan areas. This study develops a machine learning‐based analytical framework to identify, quantify, and interpret the factors associated with severe bus accidents.
Bowei Chen   +3 more
wiley   +1 more source

Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining

open access: yesInternational Journal of Computational Intelligence Systems, 2019
In the field of fuzzy utility mining, the characteristics of transaction time have been a widely studied topic in data mining. However, using a single-conditional threshold for all items does not suffice to reflect the true properties of items.
Wei-Ming Huang   +3 more
doaj   +1 more source

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