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Sports analytics—Evaluation of basketball players and team performance
Given the recent trend in Data Science (DS) and Sports Analytics, an opportunity has arisen
for utilizing Machine Learning (ML) and Data Mining (DM) techniques in sports. This paper …
for utilizing Machine Learning (ML) and Data Mining (DM) techniques in sports. This paper …
[HTML][HTML] Data mining algorithms for smart cities: A bibliometric analysis
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 …
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …
Social media types: introducing a data driven taxonomy
Social Media (SM) have been established as multifunctional networking tools that tend to
offer an increasingly wider variety of services, making it difficult to determine their core …
offer an increasingly wider variety of services, making it difficult to determine their core …
Unsupervised Learning in NBA Injury Recovery: Advanced Data Mining to Decode Recovery Durations and Economic Impacts
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 …
the National Basketball Association (NBA) from 2000–01 to 2022–23. By analyzing a …
Smart healthcare support using data mining and machine learning
T Chatzinikolaou, E Vogiatzi, A Kousis… - IoT and WSN based Smart …, 2022 - Springer
Ever since the first cities were created, they have been dependent on technology to sustain
life. The smart city paradigm integrates advanced monitoring, sensing, communication, and …
life. The smart city paradigm integrates advanced monitoring, sensing, communication, and …
Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences
This work utilizes data from Twitter to mine association rules and extract knowledge about
public attitudes regarding worldwide crises. It exploits the COVID-19 pandemic as a use …
public attitudes regarding worldwide crises. It exploits the COVID-19 pandemic as a use …
Enabling the analysis of personality aspects in recommender systems
Existing Recommender Systems mainly focus on exploiting users' feedback, eg, ratings, and
reviews on common items to detect similar users. Thus, they might fail when there are no …
reviews on common items to detect similar users. Thus, they might fail when there are no …
Learning Complex Users' Preferences for Recommender Systems
S Yakhchi - arxiv preprint arxiv:2107.01529, 2021 - arxiv.org
Recommender systems (RSs) have emerged as very useful tools to help customers with
their decision-making process, find items of their interest, and alleviate the information …
their decision-making process, find items of their interest, and alleviate the information …
Mining Association Rules from Code (MARC) to support legacy software management
C Tjortjis - Software Quality Journal, 2020 - Springer
This paper presents a methodology for Mining Association Rules from Code (MARC), aiming
at capturing program structure, facilitating system understanding and supporting software …
at capturing program structure, facilitating system understanding and supporting software …
Mining data to deal with epidemics: case studies to demonstrate real world AI applications
C Nousi, P Belogianni, P Koukaras… - Handbook of Artificial …, 2022 - Springer
The massive growth of Big Data kickstarted a new era for data analytics and knowledge
discovery. Data mining algorithms are employed to analyze different types of data, which …
discovery. Data mining algorithms are employed to analyze different types of data, which …