BDA 18CS72 Module-5 Big Data And Analytics VTU Notes 7th Semester pdf, Download Module-5 BDA 18CS72 Big Data And Analytics 7th Semester VTU Notes Pdf
| BDA(Big Data And Analytics ) (Effective from the academic year 2018 -2019) SEMESTER – 7th |
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| Course Code | 18CS72 | CIE Marks | 40 | |
| Number of Contact Hours/Week | 2:2:0 | SEE Marks | 60 | |
| Total Number of Contact Hours | 10 | Exam Hours | 03
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Module-5
Machine Learning Algorithms for Big Data Analytics:
Introduction, Estimating the relationships, Outliers, Variances, Probability Distributions, and Correlations, Regression analysis, Finding Similar Items, Similarity of Sets and Collaborative Filtering, Frequent Itemsets and Association Rule Mining. Text, Web Content, Link, and Social Network Analytics: Introduction, Text mining, Web Mining, Web Content and Web Usage Analytics, Page Rank, Structure of Web and analyzing a Web Graph, Social Network as Graphs and Social Network Analytics:
Text book 1: Chapter 6: 6.1 to 6.5
Text book 1: Chapter 9: 9.1 to 9.5
Course Outcomes:
The student will be able to:
- Understand fundamentals of Big Data analytics.
- Investigate Hadoop framework and Hadoop Distributed File system.
- Illustrate the concepts of NoSQL using MongoDB and Cassandra for Big Data.
- Demonstrate the MapReduce programming model to process the big data along with Hadoop tools.
- Use Machine Learning algorithms for real world big data.
- Analyze web contents and Social Networks to provide analytics with relevant visualization tools.