Results 31 to 40 of about 19,159 (179)
Association Rule Analysis for Sales Strategy Optimization with Apriori Algorithm Method
PT XYZ is a manufacturing company that produces various types of industrial valves. Despite having entered the export market, the company continues to experience monthly fluctuations in order volumes due to the suboptimal use of data in formulating ...
Avril Firda Amelia +1 more
doaj +1 more source
AI-BASED RESUME SKILLS EXTRACTOR AND RECOMMENDER MODULES FOR STATE UNIVERSITY HUMAN RESOURCE ANALYTICS SYSTEM [PDF]
This quantitative-developmental research primordially seeks to develop two artificial intelligence (AI) agents, namely Skills Extractor and Job Recommender AI Agents, that will be involved in the skills extraction from a portable document format resumé ...
Paul Nigel S. Abalos , Thelma D. Palaoag
doaj +1 more source
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
Consumer Customs Analysis Using the Association Rule and Apriori Algorithm for Determining Sales Strategies in Retail Central [PDF]
The sustainability of a company will not be separated from the role of consumers in conducting transactions. In fact, a consumer has different behaviour and character, therefore as a company owner must be able to analyze the patterns or habits of ...
Mujianto Ahmad Heru +3 more
doaj +1 more source
Data Mining technique: Application of Apriori algorithm for road accident analysis
Road accidents can happen due to various factors. These factors that contribute to road accidents have cost damage to properties, injuries or deaths and most road accidents are attributable to the lack of knowledge on road safety. To provide safe driving
Ryan Clifford Larraquel Perez
doaj +1 more source
Implementasi Algoritma Apriori Pada Data Benchmark Kosarak Dan Mushrooms [PDF]
Algoritma apriori saat ini lebih banyak digunakan untuk mencari frequent itemsets dan mencari aturan asosiasi untuk menemukan knowledge. Proses mencari frequent itemsets pada data secara berulang-ulang yang ada didalam database dan diakhiri ketika ...
muliono, Rizki
core +3 more sources
Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score
This study proposes the optimization method of the associative knowledge graph using TF-IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents and generates term ranking.
Hyun-Jin Kim +2 more
doaj +1 more source
Cardiotocography (CTG) recorded fetal heart rate and its temporal relationship with uterine contractions. CTG intelligent classification plays an important role in evaluating fetal health and protecting fetal normal growth and development throughout ...
Meng Chen, Zhixiang Yin
doaj +1 more source
Abstract Objectives Internet‐delivered cognitive‐behavioural therapy (ICBT) is demonstrated to be an effective treatment for obsessive‐compulsive disorder (OCD). However, not all individuals who commence ICBT respond well to treatment and thus understanding predictors of outcome is crucial for informing best‐practice treatment planning. The aim of this
Jun Hong Lee, Bethany M. Wootton
wiley +1 more source
An Improved Apriori Algorithm based on Matrix Data Structure [PDF]
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

