Big Data Analytics — Summer 2022

(I.) Answer the following. 1. Define BI. 2. List the applications of big data analytics. 3. What is Text mining? (II) Explain types of big data.

Which are the phases of data analytics life cycle? Explain any three phases in detail.

(I.) List and explain drivers of big data in brief. (II) Explain Euclidean distance and Manhattan distance.

Discuss User based collaborative filtering with example.

Explain Item based collaborative filtering in detail.

Explain Descriptive Vs Predictive Modeling.

What is Apriori Algorithm? Explain in brief how Apriori algorithm is used to find Frequent item sets.

Discuss autocorrelation and ARIMA model in brief.

Explain simple exponential smoothing in detail.

Explain Direct Vs Undirected Networks in brief.

Write short note on hierarchical clustering. Also list out the limitations of hierarchical clustering.

Discuss emergence of big data ecosystem with reference to new approach to analytics.

What is k-means clustering? Explain in brief.

Explain bag of words approach with suitable example.

Briefly explain advantages and disadvantages of social media analytics.

Discuss visualizing and analyzing networks in details.

Explain Data Partitioning and Performance Evaluation in brief.