2015International Journal of Management in EducationRequires access

Educational data mining towards knowledge engineering: a review state

Karan Sukhija, Manish Kumar Jindal, Naveen Aggarwal

Open publisher page 7 citations

Abstract

Data mining extracts the information from an enormous data provisions, often recognised as knowledge discovery in databases. It is procedure of semi-automatically examining huge amount of databases to discover valuable patterns. Knowledge management is a multifaceted approach that assists in attaining executive objectives by building the pre-eminent use of knowledge. This paper has threefold objective. Initially, it explains data mining process and numerous data mining techniques that help in the removal of concealed patterns. Furthermore, it elaborates the numerous tendencies and fields amended data mining technology for easy access and reclamation of valuable information. Data mining application area comprises marketing, telecommunication deception, funding, medicinal education area and so on. At last, emphases on educational data mining that is related with emerging techniques to explore the distinguished data gained from educational settings and consequences in dropping the intricacy of numerous data mining tools used by educationalists is given.

About this research paper

What this paper is about

Data mining extracts the information from an enormous data provisions, often recognised as knowledge discovery in databases. It is procedure of semi-automatically examining huge amount of databases to discover valuable patterns. Knowledge management is a multifaceted approach that assists in attaining executive objectives by building the pre-eminent use of knowledge. This paper has threefold objective. Initially, it explains data mining process and numerous data mining techniques that help in the removal of concealed patterns. Furthermore, it elaborates the numerous tendencies and fields amended data mining technology for easy access and reclamation of valuable information. Data mining application area comprises marketing, telecommunication deception, funding, medicinal education area and so on. At last, emphases on educational data mining that is related with emerging techniques to explore the distinguished data gained from educational settings and consequences in dropping the intricacy of numerous data mining tools used by educationalists is given.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Data mining extracts the information from an enormous data provisions, often recognised as knowledge discovery in databases. It is procedure of semi-automatically examining huge amount of databases to discover valuable patterns. Knowledge management is a multifaceted approach that assists in attaining executive objectives by building the pre-eminent use of knowledge. This paper has threefold objective. Initially, it explains data mining process and numerous data mining techniques that help in the removal of concealed patterns. Furthermore, it elaborates the numerous tendencies and fields amended data mining technology for easy access and reclamation of valuable information. Data mining application area comprises marketing, telecommunication deception, funding, medicinal education area and so on. At last, emphases on educational data mining that is related with emerging techniques to explore the distinguished data gained from educational settings and consequences in dropping the intricacy of numerous data mining tools used by educationalists is given.

Key concepts: Knowledge extraction, Data science, Computer science, Process (computing), State (computer science), Educational data mining, Data mining, Knowledge management

Related papers

Back to paper searchBrowse research topicsOriginal source
Educational data mining towards knowledge engineering: a review state — Research Paper | ScholarLens