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
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
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
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
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
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
7
Q
Cluster based anomaly detection
A
- map network connects into feature space
- cluster similar connections
- use large cluster to represent normal traffic