Download presentation
Presentation is loading. Please wait.
Published byGeorgia Sibyl Briggs Modified over 9 years ago
1
MINF4533: Networks and Business Intelligence Prof. Dr. Daning Hu Department of Informatics University of Zurich Sep 18th, 2012
2
2 Daning Hu: A Network Perspective Daning Hu studied at advises works at advises collaborates Dr. J. Leon Zhao Jiaqi Yan John collaborates Social Network Analysis Financial Intelligence Jiaqi Jackie Yan, 29, Male, Chinese ?
3
3 MINF 4533: Networks and Business Intelligence Lecturer: Prof. Dr. Daning Hu Teaching Assistant: Dr. Jiaqi Yan Email: hdaning@ifi.uzh.ch (In all emails to me, please put MINF 4533 in the subject line. This can me get to you faster).hdaning@ifi.uzh.ch Credits: 4.5 ECTS credits Class Meetings: Tuesday 13:30-15:00 PM Tutorials: Thursday 10:00 – 11:30 AM Language: English Audience: Undergraduate and Master students Office Hours: 15:00 -16:00, email for appointment, Room 2.A.12 http://www.ifi.uzh.ch/bi/teaching/fall2012/lecture.html
4
4 Course Plan This lecture mainly consists of two stages. 18.09 to 18.10: the lecturer will introduce the basics of network modeling and analysis techniques. The students will also gain hands on experiences in tutorials. 23.10 to 08.11: the students will work and finish the midterm project. 13.11 to 06.12: the lecturer will introduce the various business intelligence applications based on network modeling and analysis. 11.12 to 08.01.13: the students will work and finish the final project.
5
5 Grading and Course Goals 1. Two course projects. One midterm and one final project (each taking 40%, total is 80%) 2. Active participation and interaction during the lectures and tutorials (20%) The project reports should include the following four major components: Network/Relational Data Collection (7.5%) Network Data Processing and Modeling (10%) Network Visualization (7.5%) Network Analysis (15%)
6
6 Example 1: Network Data Collection Social Networks: Online communities, Social networking websites, Personal blogs and micro-bloggings, online video sharing websites. E-Business: Amazon Web Service, Ebay Data API, Taobao. Others: Financial, Governmental data sources, etc.
7
7 Example 2: Network Data Processing Modeling Extract relations/links from raw data in database tables Model such relations/links into network data. Node data Link data
8
8 Example 3: Network Visualization
9
9 Example 4: Network Analysis A microblogging Network: Who possesses the most advantageous position in broking information and knowledge in this network?
10
10 A Global Terrorist Network How to effectively break down terrorist networks?
11
11 Network-based Business Intelligence Applications Recommendation Systems:
12
12 Network-based Business Intelligence Applications Reputation Systems:
13
13 Network-based Business Intelligence Applications Social Media based Marketing, Word-of-Mouth Effect
14
14 Computing tools required for this course Database Management Software MySQL or other common DBMS such as MS SQL Server, Oracle, etc. Network Visualization Tool: NetDraw, FNA (Financial Network Analyzer), etc. Network Analysis Tool: UCINet, FNA Microsoft Windows OS Only
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.