COMP7103 Assignment 1
Deadline: Oct 15, 2014 11:55pm
Classify the following attributes discussed in lecture notes Chapter 2 Page 11 as binary, nominal,
ordinal or numerical:
Why data mining?
Data Mining and Knowledge Discovery
Data mining tasks
The KDD process
Why Mine Data? Commercial
Lots of data is being collected
CSIS7103 Assignment 2
Due date: Nov 26, 2014 23:55pm
No late submission is allowed. Submit a softcopy in WORD or PDF format through the
You are given a data set, weather2013.csv (available on Moodle), which contains some
What are the types of data?
How do we measure data quality?
How do we preprocess data for analyzing them?
How do we measure similarity between data objects?
Typical Structured Data
Collection of data objects and their attributes
Classification (Part 1)
Basic decision tree classifier (DT) construction
Some technical issues of DT classification
What common characteristics are shared by the
red people, and not by the purple people?
A traditional relational db presents to its user a one-
dimensional table of facts.
In the relational model, information is captured by
relations (or tables). Each relation is described by a
A schema is a set of
What is clustering?
Types of clusters
What is Cluster Analysis?
Finding groups of objects such that the objects in a
group are similar (or related) to each anothe
Association Analysis (Part 1)
Association rule definition
The Apriori Algorithm
Market Basket Analysis
principal application of association rules is market
It models supermarket data a
Classification (Part 2)
Support vector machines
Nearest Neighbor Classifiers
Given an unlabeled record Y, find the records in the
training set that are most
Association Analysis (Part 2)
Mining quantitative association rules
Mining sequential patterns
Association rule algorithms tend to produce too many
many of them are uninteresting or redundant
About the course
Prof. Ben Kao (email@example.com, CYC326)
Kevin Lam (firstname.lastname@example.org, CYC319)
Jolly Cheng (email@example.com, CYC319)
Forum, emails, course announcements: Moodle
Friday, 7-10 pm, CPD-2.