Social Web Mining

Date

Topic

9/21

Introduction

9/28

Off

10/5

Social Network Analysis

10/12

Association Rules and Sequential Patterns

10/19
Supervised and Unsupervised Learning

10/26

Information Retrieval
11/2

Link Analysis (PageRank and HITS)

11/9

Project Proposal Presentation   Written  Proposal Due on Blog

11/16

Midterm Exam

11/23

Web Crawling

11/30

Structured Data Extraction

12/7

Information Integration

12/14

Opinion Mining

12/21

Project Presentation 

12/28

Project Presentation

1/4

Project Presentation

1/11

Project Presentation

1/18

Written Report Due

 

Class Time

 Fri 6:40-9:30p

Class Room

SF305

Course List

修課名單

Term Project

期末報告名單


Instructor

 Dr. Hsing Mei   

Office

SF625

Email

mei@csie.fju.edu.tw

Phone

2905-3704

Hours in Office and SL

Wed Fri 1:40-3:30p, or by appointment

Second Life SIG meeting

Fri 4:30-6p, SF651

Second Life

(1) Join WECO Group, 

 (2) Profile/1st Life/Info:  ie9x5xyy, Course Name, Blog URL

 (3) Second Life SIG meeting: Fri 12:30-1:30p, SF651

 

TA

TBA (SF638)


Grading
 
Class Participation 30%+Bonus
Midterm 30%
Term Project 40%

 (Survey, Analysis, and/or Implementation)


Class Participation (Preview/Notes + Discussion + Oral Review + Roll call)

 

 (1) You need post class PREVIEWS and NOTES on your Own Blog for this course. (At least 5 posts on your Own Blog)

 (2) You need initiate/participate the discussion on course blog.  (At least 2 post and 3 comments on Course Blog)

 (3) Each effective post has to at least 5 lines.

 (4) Bonus:

     i.  Bonus will be given by instructor based on contribution (Blog, …).

     ii. 10 effective course Blog posts can trade one roll-call absence of class.

 (5) Peer and self grading on participation/contribution will be performed at the end of semester.

Term Project
 

1.        Survey any one web-based social network software.

2.        Collect the usage of the social software selected.

3.        Analyze the usage with any available tool or program written by yourself.

4.        Oral/Written proposal on 11/9

5.        Oral presentation (12/24-1/11)

6.        Final written report:  at least 10 references (assigned reading included), must have your OWN words, including introduction, background, analysis, figures, results, and conclusions. Format: IEEE 2 columns conference proceeding format.

7.        Minimal number of pages: 8

8.        Peer Grading

 


Topics of particular interest include, but are not limited to

Online Community Mining

Trustworthiness and Reputation

Healthcare, epidemic modeling, and clinical mining

Knowledge e-Learning Mining

Second life Mining

Quality assessment and interestingness metrics of web mining results

Security, privacy and social impact of web mining

Mobility

Friendship and family network

Advertisement Mining

People  : Proper connected (limited vs over connected)

 

Text Book
 

Web Data Mining - Exploring Hyperlinks, Contents and Usage Data, by Bing Liu, Springer, 2006.

Social Network Analysis: A Handbook,by John P Scott, Sage Publications Ltd, 2000

 

References
 

Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage, by Markov and Larose, Wiley-Interscience, 2007

Mining the Web: Discovering Knowledge from Hypertext Data, by Charkrabarti, Morgan Kaufmann, 2003

Data mining: Concepts and Techniques, 2nd Edition, by Han and Kamber, Morgan Kaufmann Publishers, 2005

Introduction to Data Mining, by Tan, Steinbach, Pearson/Addison Wesley, 2006

http://www.weco.net/course/SWM-fall2007/

http://swm.weco.net/

http://del.icio.us/FJU_SWM

 

 
 

 

 
 
Note:除非有不可抗拒的原因,本課程
 

(1)  第一次上課遲到或未到未選課者請勿加選已選課者, 建議退選.

 
 

(2)     Quiz 及考試無補考.

 
 

(3)      放棄Grading配分中任一項 , 學期總成績以不及格計.

 
 

(4)       點名無補點, 若出席未及點名次數之1/2, 則期末考扣考, 學期總成績以不及格計.

(5)        LabProject均必須依 Syllabus Due Date 繳交或post, 不得延期.