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Evgenia O. Khramshina,Alexander V. Prutzkow
Pág. 8 - 12
Association rules mining progresses year by year. There are many algorithms of association rules mining. The most popular are the Apriori algorithm and the FP-Growth algorithm. But these algorithms have disadvantages. The Apriori algorithm requires...
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Frederick Petry and Ronald Yager
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c...
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Baoyi Zhang, Zhengwen Jiang, Yiru Chen, Nanwei Cheng, Umair Khan and Jiqiu Deng
The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial distri...
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Nureni Ayofe Azeez, Tolulope Jide Ayemobola, Sanjay Misra, Rytis Maskeliunas and Robertas Dama?evicius
Ubiquitous nature of Internet services across the globe has undoubtedly expanded the strategies and operational mode being used by cybercriminals to perpetrate their unlawful activities through intrusion on various networks. Network intrusion has led to ...
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Thaweesak Khongtuk
Discovering All Frequent Items is one of the most important steps in the association rules mining process. Typically, the minimum support is used as a criterion for selecting an interesting itemset. There are many researchers who focus to improve the eff...
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Rachmad Febrian, Ayundyah Kesumawati
Pág. 1 - 5
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Fadhila Putri Utami,Arief Jananto
Pág. 34 - 46
XYZ Pharmacy is a Special Health Service Point for employees and retirees of the XYZ company. This pharmacy carries out the process of buying and selling drugs by providing various types of drugs. The number of sales transactions in each day, resulting i...
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Sevim Sezi Karayazi, Gamze Dane and Theo Arentze
Understanding visitors? spatial choice behavior is important in developing effective policies to counteract overcrowdedness in attractive urban heritage areas. This research presents a comprehensive analysis of visitor location choice behavior, aiming to...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Feifei Tao, Yanling Pi, Meng Zhang, Chi Yuan and Menghua Deng
With the rapid development of water conservancy engineering and infrastructure construction, there are many safety hazards in the construction process of water conservancy engineering, so it is of great significance to study the potential hazards in the ...
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Xuecen Zhang, Yi Tang, Qiang Liu, Guofeng Liu, Xin Ning and Jiankun Chen
With the development of distribution networks, large amounts of distribution terminal units (DTU) are gradually integrated into the power system. However, limited numbers of maintenance engineers can hardly cope with the pressure brought about by the sub...
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Jyoti Mor,Naresh Kumar,Dinesh Rai
The web is changing momentarily which makes it very difficult for the user to retrieve relevant results as per the given query. Clustering is a technique to organize search results in a way so that same search results are associated only with one cluster...
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Claudia Cavallaro and Jordi Vitrià
Given the widespread use of mobile devices that track their geographical location, it has become increasingly easy to acquire information related to users? trips in real time. This availability has triggered several studies based on user?s position, such...
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Faria Ferooz, Malik Tahir Hassan, Sajid Mahmood, Hira Asim, Muhammad Idrees, Muhammad Assam, Abdullah Mohamed and El-Awady Attia
To reduce crime rates, there is a need to understand and analyse emerging patterns of criminal activities. This study examines the occurrence patterns of crimes using the crime dataset of Lahore, a metropolitan city in Pakistan. The main aim is to facili...
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Hyun-Jin Kim, Ji-Won Baek and Kyungyong Chung
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. Based on the terms with high scores from TF-IDF b...
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George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
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Yicong Li, Tong Zhang, Xiaofei Lv, Yingxi Lu and Wangshu Wang
It is important to capture passengers? public transit behavior and their mobility to create profiles, which are critical for analyzing human activities, understanding the social and economic structure of cities, improving public transportation, assisting...
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Jianyu Wang, Shuo Ma, Pengpeng Jiao, Lanxin Ji, Xu Sun and Huapu Lu
This study explores risk factors influencing the at-fault party in traffic accidents and analyzes their impact on traffic accident severity. Based on the traffic accident data of Shenyang City, Liaoning Province, China, from 2018 to 2020, 19 attribute va...
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