#dwm
- Data Warehousing and Mining Viva Questions
- Explain Multidimensional and multilevel association mining with example. Association mining, a data mining technique, helps identify interesting relationships or associations between items in a dataset. Multidimen... 1
- What is Web Mining? Explain Web Structure mining and Web usage mining in detail? Web mining is the process of discovering useful patterns, information, and knowledge from the vast amount of data available on the World Wid... 1
- Differentiate between Apriori & FP-growth algorithm. Criteria Apriori Algorithm FP-growth Algorithm Purpose Used for frequent itemset mining and association rule generation in data mining. Also... 2
- Differentiate between Page Rank & HITS algorithm. Criteria PageRank HITS (Hyperlink-Induced Topic Search) Purpose Measures the importance of web pages based on link structure. Identifies aut... 2
- Consider the transaction database given below, TID Items Frequent itemsets: {1}, {2}, {3}, {5}, {1,3}, {1,5}, {2,3}, {2,5}, {3,5}, {1,3,5}, {2,3,5}. Strong rules (confidence ≥ 60%) are listed in St... 1
- Elucidate Market Basket Analysis with an example. Market Basket Analysis (MBA) is a data mining technique used in the field of retail and marketing to uncover associations between products t... 1
- Explain K-Means clustering algorithm. Discuss its advantages and limitations. Apply Means algorithm Taking the first three values (2, 3, 6) as initial centroids, K-Means converges to the clusters 2, 3, 6, 8, 9, 12 and 15, 18, 22, with centr... 1
- Explain Page Rank technique in detail. PageRank is an algorithm used by search engines like Google to rank web pages in search results based on their importance and relevance. It... 1
- Write a Code for data Clustring in Python and show outputs import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from sklearn.cluster import KMeans df = pd.read_csv("Mall_Customer... 1