Big Data Analytics — Summer 2023

i) What is “Bag-of-Words”? ii) What is BI? How it is different from data science? iii) What is Euclidean distance and Manhattan distance?

Discuss model planning and model building phases of data Analytics lifecycle..

i) How to measure distance between two clusters? ii) What is the importance of selecting strong rules?

What is Big data? Discuss types of big data.

What is Data Preparation? Discuss importance of data preparation.

What is association rule mining? Discuss importance of association rule mining.

What is Collaborative filtering? Explain in brief various types of collaborative filtering.

Explain the steps of k-Means Clustering Algorithm.

List various types of smoothing methods. Explain any one in detail using suitable example.

How to create ARIMA model for a time series.

Explain in brief moving average method of time series forecasting.

How ARIMA models are powerful tool for forecasting time series data?

What is text mining? How text mining is different from data mining?

i) What is required in text mining? Why? ii) What is the importance of visualizing networks?

What is time series forecasting and regression based forecasting?

What is descriptive and predictive time series forecasting?

What are the advantages and disadvantages of social network data collection?