July 2020
Beginner to intermediate
432 pages
12h 57m
English
Content preview from Intelligent Data Analysis
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7Intelligent Data Analysis Using Hadoop Cluster – Inspired MapReduce Framework and Association Rule Mining on Educational Domain
Pratiyush Guleria and Manu Sood
Department of Computer Science, Himachal Pradesh University, Shimla, India
7.1 Introduction
Intelligent data analysis (IDA) is the field of artificial intelligence (AI). With the help of IDA, meaningful information is discovered from a large amount of data. This field includes preprocessing of data, data analysis, mining techniques, machine learning, neural networks, etc. Statistical techniques [1] are implemented for data analysis. The types of statistics are as follows: (i) descriptive statistics and (ii) inferential statistics. In descriptive statistics, assumptions are not used for summarizing data, whereas, in inferential statistics, conclusions are drawn based on certain assumptions.
IDA has emerged as a combination of many fields: (i) statistics, (ii) AI, (iii) pattern recognition, and (iv) machine learning [2]. IDA in the educational field can be achieved with the help of educational data mining and learning analytics [3], which will become a milestone in the field of education and a teacher-taught paradigm.
With the help of these fields, students data can be analyzed in an intelligent manner to achieve the following: (i) academic analytics, (ii) course redesigning, (iii) implementing learning management systems, (iv) interactive sessions between instructors and students, (v) implementing new patterns of students ...
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