Question

What does Lemma 3 demonstrate regarding the HR³ algorithm?

a.

It proves that HR³ can achieve a better RRR than any other algorithm.

b.

It shows that HR³ can achieve a fixed RRR value regardless of parameters.

c.

It demonstrates that HR³ can achieve an RRR of 1 for any value of α.

d.

It establishes that HR³ can achieve any RRR value larger than 1.

Posted under Big Data Computing

Answer: (d).It establishes that HR³ can achieve any RRR value larger than 1. Explanation:Lemma 3 demonstrates that HR³ can achieve any RRR value larger than 1 by appropriately choosing the granularity parameter α.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What does Lemma 3 demonstrate regarding the HR³ algorithm?

Add Comment

Similar Questions

Discover Related MCQs

Q. In the context of the HR³ algorithm, what does the index function determine?

View solution

Q. What does the CaRLA algorithm aim to address?

View solution

Q. What is the main purpose of CaRLA (Canonical Representation Learning Algorithm)?

View solution

Q. What is the advantage of CaRLA's configuration regarding transformations?

View solution

Q. What does the Levenshtein similarity rely on in terms of tokenization?

View solution

Q. What is the function of a transformation rule in CaRLA?

View solution

Q. What is the consequence of a transformation rule in CaRLA?

View solution

Q. What does the weighted transformation rule consist of in CaRLA?

View solution

Q. How is the transformation function defined in CaRLA?

View solution

Q. What is the result of applying a set of transformation rules to a string in CaRLA?

View solution

Q. What is the main goal of CaRLA?

View solution

Q. What is the purpose of the equivalence relation in CaRLA?

View solution

Q. How does CaRLA distinguish between property value pairs that should be merged?

View solution

Q. What are the two sets of transformation rules generated by CaRLA?

View solution

Q. What does the set P of positive training examples consist of in CaRLA?

View solution

Q. What does the set N of negative training examples consist of in CaRLA?

View solution

Q. What is the similarity condition used for in CaRLA?

View solution

Q. How does CaRLA determine the final set of rules and the value of θ?

View solution

Q. What constitutes the output of CaRLA?

View solution

Q. What similarity measure is used in CaRLA?

View solution

View All MCQs on Big Data Computing

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Data Structures and Algorithms

Journey through the fundamentals of Data Structures and Algorithms with our extensive...

C Programming

Master one of the most widely used programming languages with our C Programming MCQs....

Internet of Things (IoT)

Discover how devices communicate with each other in the smart world with our IoT...

Visual Basic

Enhance your knowledge of Microsoft's event-driven programming language with our...

Reverse Engineering

Strengthen your understanding of Reverse Engineering with our curated set of MCQs....

MATLAB

Hone your computational mathematics skills with our MATLAB MCQs. Understand...

JavaScript

Strengthen your web development skills with our JavaScript MCQs. Understand core...

Microprocessor

Understand the heart of your computer with our Microprocessor MCQs. Topics include...

DBMS

Get a firm grasp on database systems with our DBMS MCQs. Explore relational...