Results 41 to 50 of about 2,307,372 (214)
Positive and negative association rule mining in Hadoop’s MapReduce environment
Journal of Big Data, 2019 In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
Sikha Bagui, Probal Chandra Dhar
doaj +1 more source
Safety Science and Technology, EarlyView.ABSTRACT Effectively detecting the operational fatigue of miners can identify safety risks in mines. As the executors of auxiliary transportation in mines, the operational fatigue status of mining truck drivers deserves particular attention and detection.
Ying Chen +4 more
wiley +1 more source
An Improved Apriori Algorithm based on Matrix Data Structure [PDF]
, 2014 Mining regular/frequent itemsets is very important concept in association rule mining which shows association among the variables in huge database. the classical algorithm used for extracting regular itemsets faces two fatal deficiencies .firstly it ...
Shalini Dutt, Naveen Choudhary
core
Hypertension in Pregnancy, 2020 Objective Concordance-analysis and evaluation of existing algorithms detecting late-onset preeclampsia during first trimester screening Methods Retrospective cohort study investigating risk algorithms of late-onset preeclampsia during first trimester ...
Sabrina Schaller +3 more
doaj +1 more source
Democratising Multi‐Projector Displays
Computer Graphics Forum, EarlyView.Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley +1 more source
Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A. +9 more
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Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy
Computer Graphics Forum, EarlyView.Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley +1 more source
Shopping and Basket Analysis by Using an Improved Apriori Algorithm in WEKA
Journal of Studies in Science and Engineering, 2021 In the past years, e-commerce and online shopping grew fast. It became more helpful by letting people buy the desired product online. Also, to help their users to find the product of their desire easily and make the process simpler, the online shopping ...
Shahab H. Kaka Ali +1 more
doaj +1 more source
A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management
Engineering Reports, Volume 8, Issue 10, October 2026.Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader +6 more
wiley +1 more source
Sistemasi: Jurnal Sistem InformasiThe apriori algorithm uses minimum support and minimum confidence to determine appropriate itemset rules for decision making. The problem faced in this research is how to improve the performance of the a priori algorithm in the process of searching for ...
Moch Syahrir +3 more
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