WEKA Powerful Tool in Data Mining - ijcaonline.org.
Educational data mining (EDM) is a research area which utilizes data mining techniques and research approaches for understanding how students learn. Interactive e-learning methods and tools have opened up opportunities to collect and scrutinize student data, to ascertain patterns and trends in those data, and to formulate new discoveries and.
The main objective of this paper is to provide an overview on the data mining techniques that have been used to predict students performance. This paper also focuses on how the prediction algorithm can be used to identify the most important attributes in a students data.
Classification is the most familiar and most effective data mining technique used to classify and predict values. Educational Data Mining (EDM) is no exception of this fact, hence, it was used in this research paper to analyze collected students’ information through a survey, and provide.
Data mining in marketing Thabit Zatari. Abstract: Data mining in marketing is operation of analyzing data from different perspectives in order to summarize and analyze to discover useful information. So, when firms discover the patterns or the relationships of data, they will able to use it to increase profits or reduce costs, or both (Palace.
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Ph.D Research Proposal for Data Mining Data mining is a process that uses a variety of data analysis tools to discover patterns and Relation ships in data that may be used to make valid predictions. The newest answer to increase revenues and to reduce costs is data mining.
Research paper on data mining in ieee. This paper mainly focuses. mendeley data repository is free- to- use and open access. it enables you to deposit any research data ( including raw algorithms, code, protocols, processed data, video,, software methods) associated with your research manuscript.