A persomal retailer has a axiomsbase that stores 10,000 transactions of definite summer. After analyzing the axioms, a axioms understanding team has authorized the subjoined statistics:

{battery} appears in 6,000 transactions.
{sunscreen} appears in 5,000 transactions.
{sandals} appears in 4,000 transactions.
{bowls} appears in 2,000 transactions.
{battery,sunscreen} appears in 1,500 transactions.
{battery,sandals} appears in 1,000 transactions.
{battery,bowls} appears in 250 transactions.
{battery,sunscreen,sandals} appears in 600 transactions.

Provide apology to the subjoined questions:

What are the living values of the precedent itemsets?
Assuming the restriction living is 0.05, which itemsets are considered common?
What are the reliance values of {battery}→{sunscreen} and {battery,sunscreen}→{sandals}? Which of the brace governments is past sensational?
List whole the canvasser governments that can be formed from the statistics. Which governments are considered sensational at the restriction reliance 0.25? Out of these sensational governments, which government is considered the most helpful (that is, meanest coincidental)?
Conduct library inquiry and demonstrate encircling three types of an algorithm that uncovers relationships unarranged items and alliance governments. Compare the authorized algorithm with the Apriori algorithm and properties. Also, embrace their pros and cons.

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