Agile software developments are hotspots of software development field in foreign countries. Metrics and big data will boost today's marketing leaders toward success. While the notion of the metrics-driven CMO is well-understood, marketers still struggle with how to apply agile and big data to deliver big business value. To do so successfully, they must get bigger their point of view further than promotional activities and center movements around their customers and their purchasing processes. Data mining metrics like this would give us great insight into whether the change was successful; whether it led to hairline fracture how it has changed user behavior, and whether it is delivering net value to the business in terms of the A/B test. The bottom few in the list could be used to track and improve it over time, considering there is some benefit to the business in terms of capturing the new data.
Making use of Data mining (DM) in education is a rising interdisciplinary research field often referred as educational data mining (EDM). The principal objective of any educational institute is to provide excellent education to its students. One method to gain perfect level of quality in higher education is discovering knowledge that evaluates teachers' and students' performance and tries to predict areas of improvements and strengths. To satisfy this objective, EDM plays a vital role. The proposed work offers an effective approach for evaluation and prediction of teachers' and students' performance in institutions of learning using data mining technologies. The proposed system also acknowledges improvement areas of student as well as teachers' and is able to recommend respective training to them.
The authors would like to acknowledge the support of Lourdes Baptista and other WaterAid India staff, partner NGOs and the project communities involved in this project and the development of this paper.
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