FP-growth is faster because it goes over the dataset only....Select one:a. Twiceb. Ones

Break Down the Problem

1. We need to clarify the frequency of data passes in the FP-growth algorithm compared to other algorithms like Apriori.
2. The question indicates that the FP-growth algorithm only accesses the dataset a specific number of times.

Relevant Concepts

1. The FP-growth algorithm constructs a frequent pattern tree (FP-tree) based on the input data.
2. It typically makes a single pass through the dataset to build the FP-tree and then a second pass to mine the frequent itemsets.

Analysis and Detail

1. FP-growth is known for its efficiency as it avoids the need for repeated database scans which are common in the Apriori algorithm.
2. The algorithm involves two main steps: building the FP-tree which requires one pass and then mining the patterns from that tree which can sometimes be considered as utilizing the tree without a full dataset scan.

Verify and Summarize

• FP-growth requires one pass to construct the FP-tree and typically involves another operation to extract the patterns, but is primarily viewed as a single significant scan through the data.

Final Answer

b. Ones