Artificial Intelligence and Data Mining Flashcards

1
Q

AI

A

developing computer systems that can perform tasks that traditionally can only be done by humans
e.g. self driving car, real time translation

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2
Q

Data mining/machine learning

A
  • aim to find useful data in large data sets

e. g. Market segmentation = find categories of customers with similar buying behaviour

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3
Q

Supervised learning

A

learn a classifier from a set of labelled examples so that you can classify new unlabelled examples in the future
e.g. Facial recognition, diagnosing cancer from genetic test

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4
Q

Unsupervised learning

A
  • cluster set of unlabelled examples to learn natural categories/types of objects
  • identifying different categories of customers on retail website
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5
Q

Learning unusual patterns

A
  • anomaly detection
  • learn model of “normal” database records
  • use this model to test for anomalies
  • anomalies can be interesting or errors
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6
Q

Defend against network attacks

A
  • set of rules to detect known types of attacks BUT unable to detect new attacks
  • anomaly detection, anomaly treated as an attack
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7
Q

Cluster based anomaly detection

A
  • map network connects into feature space
  • cluster similar connections
  • use large cluster to represent normal traffic
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