2. Consider two strings X and Y as given below; X= {a, c, b, a, e, d} Y = {a, b, c, a, d, f} Construct a LCS table and find out the length of the longest common subsequence (LCS) and the LCS itself, using Dynamic Programming Algorithm.

2. Consider two strings X and Y as given below; X= {a, c, b, a, e, d} Y = {a, b, c, a, d, f} Construct a LCS table and find out the length of the longest common subsequence (LCS) and the LCS itself, using Dynamic Programming Algorithm.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.

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2. Consider two strings X and Y as given below;
X= {a, c, b, a, e, d}
Y = {a, b, c, a, d, f}
Construct a LCS table and find out the length of the longest common subsequence (LCS)
and the LCS itself, using Dynamic Programming Algorithm.

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