In which algorithm, we make sure that the frequent items appear early in each transaction?Select one:a. Apriori algorithmb. FP Growth
Question
In which algorithm, we make sure that the frequent items appear early in each transaction?Select one:a. Apriori algorithmb. FP Growth
Solution
The algorithm in which we make sure that the frequent items appear early in each transaction is the FP Growth algorithm.
Here's a step-by-step explanation:
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The FP Growth algorithm starts by calculating the frequency of each item in the dataset.
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It then sorts the items by frequency, with the most frequent items appearing first. This is known as the 'frequent pattern tree' or FP-tree.
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The algorithm then uses this tree to find frequent itemsets without having to generate candidate sets, which is what the Apriori algorithm does.
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By ensuring that frequent items appear early in each transaction, the FP Growth algorithm can quickly identify and process these items, making it faster and more efficient than the Apriori algorithm.
So, the answer is b. FP Growth.
Similar Questions
The Apriori algorithm uses a generate-and-count strategy for deriving frequent itemsets.Candidate itemsets of size k + 1 are created by joining a pair of frequent itemsets of size k (this isknown as the candidate generation step).A candidate is discarded if any one of its subsets is found to be infrequent during the candidatepruning step. Suppose the Apriori algorithm is applied to the data set shown in the below Tablewith minsup = 30%, i.e., any itemset occurring in less than 3 transactions are considered to beinfrequent.(a) Draw an itemset lattice representing the data set.(b) What is the percentage of frequent itemsets.(c) What is the pruning ratio of the Apriori algorithm on this data set? (Pruning ratio is defined asthe percentage of itemsets not considered to be a candidate because (1) they are not generatedduring candidate generation or (2) they are pruned during the candidate pruning step.)(d) What is the false alarm rate (i.e, percentage of candidate itemsets that are found to be infrequentafter performing support counting)?
Which of the following is TRUE about apriori algorithm?I. Apriori algorithm uses the downward closure property.II. Apriori algorithm utilizes ‘pruning’ to control the exponential growth of candidate itemsets.
The two primary drawbacks of the Apriori Algorithm are: At each step, candidate sets have to be built.To build the candidate sets, the algorithm has to repeatedly scan the database.
Which of the following is the direct application of frequent itemset mining?Question 29Answera.Social Network Analysisb.Market Basket Analysisc.Outlier Detectiond.Intrusion Detection
Maximal Frequent Item Set:
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