Author Question: In the cancer research case study, data mining algorithms that predict cancer survivability with ... (Read 71 times)

meagbuch

  • Hero Member
  • *****
  • Posts: 568
In the cancer research case study, data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.
 
  Indicate whether the statement is true or false

Question 2

Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. What is this feature of Big Data called?
 
  A) volatility
  B) periodicity
  C) inconsistency
  D) variability


alvinum

  • Sr. Member
  • ****
  • Posts: 317
Answer to Question 1

FALSE

Answer to Question 2

D



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

Multiple experimental evidences have confirmed that at the molecular level, cancer is caused by lesions in cellular DNA.

Did you know?

All adverse reactions are commonly charted in red ink in the patient's record and usually are noted on the front of the chart. Failure to follow correct documentation procedures may result in malpractice lawsuits.

Did you know?

Though “Krazy Glue” or “Super Glue” has the ability to seal small wounds, it is not recommended for this purpose since it contains many substances that should not enter the body through the skin, and may be harmful.

Did you know?

After 5 years of being diagnosed with rheumatoid arthritis, one every three patients will no longer be able to work.

Did you know?

When blood is exposed to air, it clots. Heparin allows the blood to come in direct contact with air without clotting.

For a complete list of videos, visit our video library