Butter (g) Milk (ml) Flour (g) Water(ml) Class Su pastry Kol pastry Kol pastry Kol pastry Su pastry Su pastry ???? хоо 200 250 200 200 100 300 200 150 100 300 200 хоо 50 350 300 275 150 325 хоо 275 175 275 хоо 225 150 275 400 (Learning outcome 2 : will be able to relate Data Mining Models with each other.) 2. (These QUESTIONS are NOT True FALSE questions you have to state and discuss your answer. IF you just write TRUE / FALSE and not describe the REASONS your answer WONT be scored) We get rid of missing and inconsistent data with preprocess step called data editing, which is one of the data mining preprocessing step. а.

Butter (g) Milk (ml) Flour (g) Water(ml) Class Su pastry Kol pastry Kol pastry Kol pastry Su pastry Su pastry ???? хоо 200 250 200 200 100 300 200 150 100 300 200 хоо 50 350 300 275 150 325 хоо 275 175 275 хоо 225 150 275 400 (Learning outcome 2 : will be able to relate Data Mining Models with each other.) 2. (These QUESTIONS are NOT True FALSE questions you have to state and discuss your answer. IF you just write TRUE / FALSE and not describe the REASONS your answer WONT be scored) We get rid of missing and inconsistent data with preprocess step called data editing, which is one of the data mining preprocessing step. а.

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter17: Markov Chains

Section17.6: Absorbing Chains

Problem 7P

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