Exploring machine learning potential for climate change risk assessment
Global warming is exacerbating weather, and climate extremes events and is projected to
aggravate multi-sectorial risks. A multiplicity of climate hazards will be involved, triggering …
aggravate multi-sectorial risks. A multiplicity of climate hazards will be involved, triggering …
Landslide susceptibility map** using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Landslides are a manifestation of slope instability causing different kinds of damage
affecting life and property. Therefore, high-performance-based landslide prediction models …
affecting life and property. Therefore, high-performance-based landslide prediction models …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Educational Data Mining: a literature review
The adoption of learning management systems in education has been increasing in the last
few years. Various data mining techniques like prediction, clustering and relationship mining …
few years. Various data mining techniques like prediction, clustering and relationship mining …
Groundwater potential map** using remote sensing and GIS-based machine learning techniques
Adequate groundwater development for the rural population is essential because
groundwater is an important source of drinking water and agricultural water. In this study …
groundwater is an important source of drinking water and agricultural water. In this study …
Using sentiment analysis to evaluate qualitative students' responses
Text analytics in education has evolved to form a critical component of the future SMART
campus architecture. Sentiment analysis and qualitative feedback from students is now a …
campus architecture. Sentiment analysis and qualitative feedback from students is now a …
Machine learning-based student's native place identification for real-time
Mindset reading of a student towards technology is a challenging task. The student's
demographic features prediction has a significant aspect for the learning activities in …
demographic features prediction has a significant aspect for the learning activities in …
Performance analysis and prediction in educational data mining: A research travelogue
In this era of computerization, education has also revamped itself and is not limited to old
lecture method. The regular quest is on to find out new ways to make it more effective and …
lecture method. The regular quest is on to find out new ways to make it more effective and …
Data mining techniques to analyze the impact of social media on academic performance of high school students
The main purpose of educational institutions is to provide quality education to their students.
However, it is difficult to analyze large data manually. Educational data mining is more …
However, it is difficult to analyze large data manually. Educational data mining is more …
Application of data mining in educational databases for predicting academic trends and patterns
S Parack, Z Zahid, F Merchant - 2012 IEEE international …, 2012 - ieeexplore.ieee.org
Data mining is a process of identifying and extracting hidden patterns and information from
databases and data warehouses. There are various algorithms and tools available for this …
databases and data warehouses. There are various algorithms and tools available for this …