lec 1(done)

Question 1

why data mining?

Answer 1

The explosive growth of data

We need automated analysis of massive data

Question 2

Major sources of abundant data:

Answer 2

1-Business: e-commerce, transactions, stocks, product descriptions…
2-Science: Remote sensing, bioinformatics, scientific experiments, …
3-Society and everyone: news, social networks, digital cameras, YouTube ..

Question 3

Data Mining

Answer 3

Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data.

Question 4

an example of data mining:

Answer 4

Group together similar documents returned by search engine according to their context (e.g. Amazon rainforest)

Question 5

what is Data view, knowledge view , method view and application view:

Answer 5

Data view:Kinds of data to be mined

Knowledge view (Data mining functions):
Kinds of knowledge or patterns to be discovered

Method view:
Kinds of techniques utilized

Application view:
Kinds of applications adapted

Question 6

Relational database system

Answer 6

Relational database system is a collection of tables with ER(entity-relationship) for modeling and SQL for querying.

Question 7

what is a Data warehouse?

Answer 7

Data warehouse is a repository of information collected from multiple sources, stored under a unified schema at a single site in order to facilitate management decision making.

Question 8

Transactional database

Answer 8

A file where each record represents a transaction

such as a customer’s purchase: sales (transID, list of item IDs)

Question 9

Other Kinds of Data (Advanced datasets)

Answer 9

Data streams and sensor data
Spatial data 
Time-series data, temporal data, sequence data
Graphs, social networks data
Object-relational databases
Multimedia database
Text databases
The World-Wide Web