Faculty Development Program On Recent Trends In Data Mining Techniques This course examines the design and implementation of various data mining techniques and gets to know various cases and techniques in real life. understanding real world problems and solving them using various data mining algorithms such as classification, clustering and association rules. The programme will be conducted by the faculty members from nit warangal and jiit noida; academicians in the concerned field from iits nits iiits are invited to deliver lectures in the programme. speakers from industries are also expected to deliver as part of the course.
Pdf Studying Of Educational Data Mining Techniques Dr. r. nidhya delivered talk in the title of “data science with julia” and she discussed the big data and data science basics. she provided the hands on session in working with julia tools for data analytics. This fdp aimed to provide an in depth understanding of data analytics, data visualization, and artificial intelligence (ai) using advanced tools such as excel, power bi, orange, ibm watson, and spss cognos. By synthesizing current practices and trends, this work aims to inform educators, researchers, and developers seeking to harness educational data for improved learning outcomes and strategic. The study reviews the trends and techniques applied in educational data mining for a decade (2013–2023). it demonstrated the current trends and strategies while showcasing the existing and prevailing methodologies in the domain.
Pdf Educational Data Mining Techniques Approach To Predict Student S By synthesizing current practices and trends, this work aims to inform educators, researchers, and developers seeking to harness educational data for improved learning outcomes and strategic. The study reviews the trends and techniques applied in educational data mining for a decade (2013–2023). it demonstrated the current trends and strategies while showcasing the existing and prevailing methodologies in the domain. Many studies on educational data mining have employed data driven methods to predict and improve student performance. this section reviews existing publications to reveal the many ways and. The main objective of this literature review is to identify studies that integrate data prediction applications focused on rule learning and educational data mining by discussing high level data mining techniques in the context of teacher assessment and student performance. Our authorship team comprises a mix of teaching faculty, clinician educators, and education scientists. from our diverse lenses, we aim to highlight trends that might be brought to improve faculty development practices in health sciences education. Dr. ajay tripathi, associate professor, jaipuria institute of management, indirapuram, ghaziabad has successfully completed one week faculty development program on "recent trends in data mining techniques and its applications" conducted by the department of computer science and engineering of nitra technical campus, ghaziabad under technical.
Faculty Development Programme On Research Trends In Biomedical Many studies on educational data mining have employed data driven methods to predict and improve student performance. this section reviews existing publications to reveal the many ways and. The main objective of this literature review is to identify studies that integrate data prediction applications focused on rule learning and educational data mining by discussing high level data mining techniques in the context of teacher assessment and student performance. Our authorship team comprises a mix of teaching faculty, clinician educators, and education scientists. from our diverse lenses, we aim to highlight trends that might be brought to improve faculty development practices in health sciences education. Dr. ajay tripathi, associate professor, jaipuria institute of management, indirapuram, ghaziabad has successfully completed one week faculty development program on "recent trends in data mining techniques and its applications" conducted by the department of computer science and engineering of nitra technical campus, ghaziabad under technical.
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