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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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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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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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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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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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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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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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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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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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Omar Alghushairy, Raed Alsini, Terence Soule and Xiaogang Ma
Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning. Outlier detection is impo...
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Anestis Kousis and Christos Tjortjis
Smart cities connect people and places using innovative technologies such as Data Mining (DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents a bibliometric analysis to provide a comprehensive overview of studies a...
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Giuseppe Lancia and Paolo Serafini
Logical Analysis of Data is a procedure aimed at identifying relevant features in data sets with both positive and negative samples. The goal is to build Boolean formulas, represented by strings over {0,1,-} called patterns, which can be used to classify...
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Yi-Jou Lee, Nan-Jay Su, Hung-Tai Lee, William Wei-Yuan Hsu and Cheng-Hsin Liao
Mixed fisheries refer to fishing activities that catch more than one species simultaneously, and a species may be fished using different gear. A trawl fishery shares these features to exploit multiple species simultaneously, with diverse fishing gear and...
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Morteza Omidipoor, Ara Toomanian, Najmeh Neysani Samany and Ali Mansourian
The size, volume, variety, and velocity of geospatial data collected by geo-sensors, people, and organizations are increasing rapidly. Spatial Data Infrastructures (SDIs) are ongoing to facilitate the sharing of stored data in a distributed and homogeneo...
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Miguel R. Luaces, Jesús A. Fisteus, Luis Sánchez-Fernández, Mario Munoz-Organero, Jesús Balado, Lucía Díaz-Vilariño and Henrique Lorenzo
Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from...
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Vagan Terziyan and Anton Nikulin
Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, k...
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Jian Liu, Bin Meng, Juan Wang, Siyu Chen, Bin Tian and Guoqing Zhi
The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information. However, previous research has not fully uti...
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