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Alexander Shknevsky, Yuval Shahar and Robert Moskovitch
We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the Semantic Adjacency Criterion [SAC], which filters out temporal patterns that contain potentially semantically contradicto...
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Shuai Li, Peiyuan Zou, Haoxuan Yu, Boyi Hu and Xinmin Wang
Despite China?s position as a global mining powerhouse, tens of thousands of small- and medium-sized mines (SM mines) within the country continue to pose potential safety hazards and environmental pollution risks. Only through the identification of suita...
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Tao Yang, Jiayue Deng, Bing Peng, Jie Zhang, Yiming Zhang and Yihui Yan
China is rich in coal resources under water bodies. However, the safety prediction of high-intensity mining under water bodies has long been one of the problems encountered by the coal industry. It is of great significance to realize safe mining under wa...
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Md. Rashadur Rahman, Mohammad Shamsul Arefin, Sanjida Rahman, Afsana Ahmed, Tahsina Islam, Pranab Kumar Dhar and Oh-Jin Kwon
Recent advancements in high-speed communications and high-capacity computing systems have contributed to major growth in the data volume of databases. Data mining is a crucial part of information retrieval; it is often termed as database knowledge discov...
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Gopi Battineni, Nalini Chintalapudi and Gregory Zacharewicz
An acknowledgment of feedback is extremely helpful in medical training, as it may improve student skill development and provide accurate, unbiased feedback. Data are generated by hundreds of complicated and variable processes within healthcare including ...
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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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Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
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Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi, Abd Kadir Mahamad and Sharifah Saon
Online services, ambient services, and recommendation systems take user preferences into data processing so that the services can be tailored to the customer?s preferences. Associative rules have been used to capture combinations of frequently preferred ...
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Tao Qin, Binyang Duan, Yanwei Duan, Yaozu Ni, Xiangang Hou, Pingyun Ma and Yue Yang
After coal mining enters the deep, the mining environment changes dramatically, and engineering disasters become increasingly prominent, which are mostly related to rock instability and failure. As traditional support is difficult to meet production need...
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Yuqian Wu, Miao Wang, Wenkui Chu and Guoqing Wang
Organization preference knowledge is critical to enhancing the intelligence and efficiency of the multi-platform aircraft mission system (MPAMS), particularly the collaboration tactics of task behaviors, platform types, and mount resources. However, it i...
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Juan Carlos Ramírez-Javier, Alejandro Hermelindo Ramírez-Guzmán, Giovanni Hernández-Flores, Mario Alberto Hernández Hernández, Oscar Talavera-Mendoza, Sergio Adrián Salgado Souto and Alejandra Cortés-Silva
The mining industry generates high concentrations of heavy metals (HMs) susceptible to being released into surface and ground water. The objective of this work was to determine the concentration and dispersion of HMs in surface water and ground water in ...
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Paraskevas Koukaras, Dimitrios Rousidis and Christos Tjortjis
The identification and analysis of sentiment polarity in microblog data has drawn increased attention. Researchers and practitioners attempt to extract knowledge by evaluating public sentiment in response to global events. This study aimed to evaluate pu...
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Yuanfang Chen, Jiannan Cai and Min Deng
The discovery of spatio-temporal co-occurrence patterns (STCPs) among multiple types of crimes whose events frequently co-occur in neighboring space and time is crucial to the joint prevention of crimes. However, the crime event occurrence time is often ...
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Monia Hamdi, Inès Hilali-Jaghdam, Manal M. Khayyat, Bushra M. E. Elnaim, Sayed Abdel-Khalek and Romany F. Mansour
Data mining (DM) involves the process of identifying patterns, correlation, and anomalies existing in massive datasets. The applicability of DM includes several areas such as education, healthcare, business, and finance. Educational Data Mining (EDM) is ...
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Yunus Dogan, Feristah Dalkiliç, Alp Kut, Kemal Can Kara and Uygar Takazoglu
Large numbers of job postings with complex content can be found on the Internet at present. Therefore, analysis through natural language processing and machine learning techniques plays an important role in the evaluation of job postings. In this study, ...
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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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Chao Xie, Lan Wang, Ning Yang, Casey Agee, Ming Chen, Jinrong Zheng, Jun Liu, Yuxiang Chen, Lixin Xu, Zhiguo Qu, Shaoming Yao, Liquan Wang and Zongheng Chen
This paper proposed a compact design of the subsea cobalt-rich crust mining vehicle with a general purpose support vessel for subsea resource exploration, sample collection, and research. The necessary functions were considered in the concept design, inc...
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Svetlana Nikolaevna Vachkova, Elena Yurevna Petryaeva, Roman B. Kupriyanov and Ruslan S. Suleymanov
The transition to digital society is characterised by the development of new methods and tools for big data processing. New technologies have a substantial impact on the education sector. The article represents the results of applying big data to analyse...
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Justyna Witulska, Pawel Stefaniak, Bartosz Jachnik, Artur Skoczylas, Pawel Sliwinski and Marek Dudzik
The Inertial Measurement Unit (IMU) is widely used in the monitoring of mining assets. A good example is the Polish underground copper ore mines of KGHM, where research work with the use of the IMU has been carried out for several years. The potential of...
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Mario Di Nardo and Haoxuan Yu
With the continuous development and progress of the mining industry, various technologies in mining engineering have gradually developed towards the intelligent stage, and the ventilation system is no exception. Since ancient times, mine ventilation has ...
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