The Effectiveness of Data Mining Techniques in Banking

Priyadarshini, Yuvika

doi:10.5121/caij.2017.4401

CAIJ

2017

DOI: 10.5121/caij.2017.4401

|View full text |Cite

The Effectiveness of Data Mining Techniques in Banking

Yuvika Priyadarshini¹

Abstract: ABSTRACT

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DM with a student, which implies it, includes the student-specific details such as name, age, class, course, address, etc. (Priyadarshini and Ray 2017). It also helps the students learn better and improve their educational process.…”

mentioning

confidence: 99%

Application of Data Mining Techniques in Education: A Review

Suleiman¹,

Bello²,

Shilpa³

et al. 2020

JASIC

View full text Add to dashboard Cite

Data mining is the process that analyzes large data to find fresh and unknown information that increases industry productivity. In the field of trying, to discover novel and potentially suitable data, DM also be called KDD (Knowledge Discovery in Databases). Currently, DM has been introduced with educational settings, which is called EDM, it is an area of systematic analysis focused on the improvement of discovery approaches in the exclusive types of facts from academic situations and using this approach to effectively understood learners and the settings wherein they learn. EDM is emerging that focuses on analyzing educational data to develop models for improving experiences and efficiency in teaching and learning. Growing popularity in DM and the system of education is transforming educational data mining into a modern, rising research culture. Educational data mining involves removing hidden knowledge from vast educational datasets utilizing techniques and resources such as sorting, decision tree, clustering algorithms, etc. to create novel methods of knowledge exploration from educational databases, which is used for educational assessment which decision-making.

show abstract

mentioning

confidence: 99%

Application of Data Mining Techniques in Education: A Review

Suleiman¹,

Bello²,

Shilpa³

et al. 2020

JASIC

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Effectiveness of Data Mining Techniques in Banking

Abstract: ABSTRACT

Cited by 1 publication

References 4 publications

Application of Data Mining Techniques in Education: A Review

Application of Data Mining Techniques in Education: A Review

Contact Info

Product

Resources

About