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Apriori Algorithm
Apriori algorithm is a data mining method which finds all frequent itemsets and association rules...
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Big data analysis on medical field for drug recommendation using apriori algorithm and deep learning
Drug recommendation in the medical field is a challenging real-world task to choose the best medications to give patients based on their medical...
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An efficient Apriori algorithm for frequent pattern in human intoxication data
Addicts and non-addicts can be distinguished by analyzing social behaviors and activities. An attempt was made in the study to discover the main...
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Forecast of seasonal consumption behavior of consumers and privacy-preserving data mining with new S-Apriori algorithm
Nowadays, supermarkets and retail stores all use software systems with databases to store customer transactions. Over time, the volume of data is...
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Apriori Algorithm Based Approach for Improving QoS and SLA Guarantee in IaaS Clouds Using Pattern-Based Service-Oriented Architecture
Cloud computing is a modern computing technology. The integration of fog computing, edge computing, mist computing, IoT, 5G, etc. with cloud...
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Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining
The confidential data is mainly managed by creating passwords, tokens, and unique identifiers in an authorized manner. These records must be kept in...
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Local Culture Brand Building Method Based on Improved Apriori Algorithm
This paper mainly discusses the idea of building local cultural brand, and then puts forward the realization method based on the improved Apriori...
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Evaluation Data of Poor College Students Based on Improved Apriori Algorithm
In recent years, with the continuous expansion of college enrollment in China, more and more students have the opportunity to enter the university....
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A Data Mining and Processing Method for E-Commerce Potential Customers Based on Apriori Association Rules Algorithm
In order to improve the effectiveness of e-commerce potential customer data mining and processing, a method based on Apriori association rule...
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Design of Mental Health Consulting Management System Based on Apriori Algorithm
Mental health is a state of mental health characterized by common but inconsistent signs, such as positive emotions, satisfaction and good...
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Library Reader Behavior Based on Apriori Association Algorithm
The key to library modernization is to use readers’ borrowing materials to extract relevant laws of reader behavior and predict readers’ reading...
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Apriori Algorithm in Market Basket Analysis: A Retailer Example in Turkey
In recent years, along with the technological improvements and data volume increase, data mining in CRM and marketing’s common strategical issues...
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Research on Student Achievement and Employment Flow Based on Apriori Algorithm Under the Background of Big Data
The era of big data is driving profound changes in many industries, and also brings opportunities and challenges to the reform of higher education...
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Application of Apriori Algorithm in College Football Technical and Tactical Analysis
In recent years, football has been highly valued by the state. In order to strengthen the cultivation of football talents in China, colleges and...
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Gaussian Process Component Mining with the Apriori Algorithm
Gaussian process models are a commonly used tool for model-based analysis of time series data. With growing database size, the difficulty to identify...
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Mining Algorithm of Massive Online Financial Education Resources Based on Apriori TIDS
Online financial education resources are massive. Traditional algorithms are affected by the load of resource processing nodes, resulting in low...
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Analysis of Marketing Campaigns Results Through Unsupervised Learning with Apriori Association Modeling
One of the most popular data mining methods for extracting association rules from huge data sets is the apriori algorithm, which can be databases or...
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Optimal Controller Selection Scheme Using Artificial Bee Colony and Apriori Algorithms in SDN
Software Defined Networking (SDN) is one of the most recent Internet technology that manages the large scale network. SDN decouples the control plane...
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A Spark-based Apriori algorithm with reduced shuffle overhead
Mining frequent itemset is considered as a core activity to find association rules from transactional datasets. Among the different well-known...
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A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application
Besides the need for more advanced predictive methods, there is increasing demand for easily interpretable results. Couples of enhanced association...
