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Timofey Eltsov, Maxim Yutkin and Tadeusz W. Patzek
Evolution of professional language reveals advances in geophysics: researchers enthusiastically describe new methods of surveying, data processing techniques, and objects of their study. Geophysicists publish their cutting-edge research in the proceeding...
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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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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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A Sangeetha,Rajendra Kumar Ganiya
Pág. 1038 - 1043
Early detection of patients with lifted danger of creating diabetes mellitus is basic to the enhanced counteractive action and general clinical management of these patients. Data mining now-a-days assumes a critical part in expectation of diseases in hum...
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P. Yu. Pushkin,A.M. Rusakov
Pág. 37 - 47
The work presents the results of mining the records contained in the fields of the register personal data operators "list of actions with personal data" and "period or condition of termination personal data processing" and assessment of their compliance ...
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Yuri Ariyanto,Budi Harijanto,Atiqah Nurul Asri
Pág. pp. 153 - 160
Blended Learning combines teaching and learning activities in the classroom and online teaching. In its implementation, this learning method requires a lot of data. One of them is the student's online test score data which can be used as an evaluation of...
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Hugo López-Fernández
Pág. 22 - 25
Mass spectrometry using matrix assisted laser desorption ionization coupled to time of flight analyzers (MALDI-TOF MS) has become popular during the last decade due to its high speed, sensitivity and robustness for detecting proteins and peptides. This a...
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Pablo Caballero, Luis Gonzalez-Abril, Juan A. Ortega and Áurea Simon-Soro
Endometriosis (EM) is a chronic inflammatory estrogen-dependent disorder that affects 10% of women worldwide. It affects the female reproductive tract and its resident microbiota, as well as distal body sites that can serve as surrogate markers of EM. Cu...
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Qifan Chang, Likun Fan, Lihui Zheng, Xumin Yang, Yun Fu, Zixuan Kan and Xiaoqing Pan
In the L Area, big data techniques are employed to manage the principal controlling factors of coalbed methane (CBM) production, thereby regulating single-well output. Nonetheless, conventional data cleansing and the use of arbitrary thresholds may resul...
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Hossein Hassani, Nadejda Komendantova, Elena Rovenskaya and Mohammad Reza Yeganegi
This research underscores the profound implications of Social Intelligence Mining, notably employing open access data and Google Search engine data for trend discernment. Utilizing advanced analytical methodologies, including wavelet coherence analysis a...
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Jianfei Wang and Wen Cao
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an...
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Phuc-Thinh Nguyen, Minh-Son Dao, Michael A. Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le, Kieu-Chinh Nguyen-Ly, Thanh-Qui Pham and Van-Luong Nguyen
To maintain and improve an amateur athlete?s fitness throughout training and to achieve peak performance in sports events, good nutrition and physical activity (general and training specifically) must be considered as important factors. In our context, t...
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Vangelis Sarlis, George Papageorgiou and Christos Tjortjis
Injuries are an unfortunate part of professional sports. This study aims to explore the multi-dimensional impact of injuries in professional basketball, focusing on player performance, team dynamics, and economic outcomes. Employing advanced machine lear...
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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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Warawut Narkbunnum and Kittipol Wisaeng
Depression is becoming one of the most prevalent mental disorders. This study looked at five different classification techniques to predict the risk of students? depression based on their socio-demographics, internet addiction, alcohol use disorder, and ...
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Yun Li, Ruixin Yang, Hui Su and Chaowei Yang
Regarded as one of the most dangerous types of natural disaster, tropical cyclones threaten the life and health of human beings and often cause enormous economic loss. However, intensity forecasting of tropical cyclones, especially rapid intensification ...
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Stéphane Cédric Koumétio Tékouabou, Stefan Cristian Gherghina, Hamza Toulni, Pedro Neves Mata, Mário Nuno Mata and José Moleiro Martins
The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, ...
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Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo and Zhiming Ding
In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis. At present, there are many methods to fill in th...
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Cristian González García and Eva Álvarez-Fernández
Big Data has changed how enterprises and people manage knowledge and make decisions. However, when talking about Big Data, so many times there are different definitions about what it is and what it is used for, as there are many interpretations and disag...
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Fergus Kenyon Hathorn,Imke H De Kock,Elizabeth Wasserman
Pág. 16 - 24
This study examined the possibility of a strong relationship between ICD-10 codes and the panel of clinical laboratory tests requested. Decision-tree learning principles were used to determine whether requisition event attributes had a useful relati...
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