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Customer satisfaction analysis with Saudi Arabia mobile banking apps: a hybrid approach using text mining and predictive learning techniques
Mobile banking is becoming increasingly popular as a new means of delivering financial services, particularly in places where many people lack access...
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Image-based random rotation for preserving the data in data mining process
The privacy and security of big data have become a major concern in recent years, necessitating privacy-preserving data mining strategies to preserve...
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Empowering smart city situational awareness via big mobile data
Smart city situational awareness has recently emerged as a hot topic in research societies, industries, and governments because of its potential to...
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Research on Large Data Mining for Online Education of Mobile Terminal Based on Block Chain Technology
In order to manage the massive online instructional resources effectively and realize the goal of quickly mining massive instructional resources,...
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Recommendation Method of College English Online Mobile Teaching Resources Based on Big Data Mining Algorithm
The current teaching resource recommendation methods mainly recommend resources according to the relationship between users’ historical data and...
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Mining Temporal Data
The information technology revolution, especially with the adoption of the internet of things, longitudinal data in many domains becomes more...
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Using Data Mining and Mobile Devices to Assist the Interactive Automotive Diagnostics
This work aims to assist the diagnostics of car defects by relating the data obtained through the vehicle telemetry with the driver’s perceptions on...
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Methodology for Mobile Phone Location Data Mining
With the widespread popularity of smartphones, the phenomenon of “one phone for everyone” has become a reality. Mobile phone sensors can record a...
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Using Twitter to analysis of social innovation through user comments data mining
The objective of the research was to extract the opinions of social media users regarding social innovation, recognize common terms, and comprehend...
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A Method of Abnormal Psychological Recognition for Students in Mobile Physical Education Based on Data Mining
At present, the abnormal psychological recognition of middle school students is mainly through psychological questionnaire, after data statistical...
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A systematic survey of data mining and big data analysis in internet of things
The Internet of Things (IoT) is an emerging paradigm that offers remarkable opportunities for data mining and analysis. IoT envisions a world where...
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Data Mining in Medicine
Clinical databases collect large volumes of information. Relationships and patterns within these data could provide new medical knowledge. Data...
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Mobile Teaching Quality Evaluation Model of Industry-University-Research Education Based on Data Mining
Teaching quality is the main indicator for evaluating teaching level. But it is affected by a number of contributing variables. To address existing...
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Mobile games success and failure: mining the hidden factors
Predicting the success of a mobile game is a prime issue in game industry. Thousands of games are being released each day. However, a few of them...
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An Outlook for Future Mobile Network Data-Driven Urban Informatics
This chapter provides an outlook for future directions of mobile network data-based urban informatics, particularly in travel behavior research. It...
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Adaptive Data Stream Mining (DSM) Systems
Dynamic, data-driven methods are key to enabling the deployment of accurate and efficient data stream mining (DSM) systems, by invoking suitably...
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Credit card fraud detection using ensemble data mining methods
Nowadays, credit card fraud has become one of the most complex and vital issues in the world, even more than the past decades. Widespread use of...
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Mining User-Object Interaction Data for Student Modeling in Intelligent Learning Environments
AbstractThis work seeks to contribute to the development of intelligent environments by presenting an approach oriented to the identification of...
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Mobile money fraud detection using data analysis and visualization techniques
Financial investigations in the realm of fraud detection demand rigorous data analysis to identify anomalies and inform decision-making. This paper...
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An oceanographic data collection scheme using hybrid optimization for leakage detection during oil mining in mobility assisted UWSN
Data acquisition is the process of collecting, measuring and analysing information using standardised, validated techniques for application-specific...
