Information Mining - Lecture, Summer 2008

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Leistungskontrolle IR/IM/IE/DL/DM		Die mündlichen Prüfungen zu den Lehrveranstaltungen "Information Retrieval" (IR) "Digitale Bibliotheken" (DL) "Information Mining" (IM) "Information Engineering" (IE) "Data Mining" (DM) finden am 9. und 10.9. statt. Die einzelnen Termine werden hier nach Ablauf der Rücktrittsfrist bekanntgegeben.

Teaching personnel

Lecturer

• Prof. Dr.-Ing. Norbert Fuhr

Tutor(s)

• Dipl.-Inform. Ingo Frommholz

Formalia

Targeted audience

• DAI Hauptstudium with 8 credit points : Bereich "D"
• ISE Master with 8 credit points

Dates

Description

Information Mining deals with the extraction on implicit information from raw data (Data Mining) or text (Text Mining). The goal is the development of methods for analyzing databases and discovering useful information by means of abstraction. For this pupose, machine learning methods are applied.

Course structure:

• Data Mining
  1. Introduction
  2. Input: Concepts, instances, attributes
  3. Output: Knowledge representation
  4. Algorithms: The basic methods
  5. Credibility: Evaluating what's been learned
  6. Implementations: Real machine learning schemes
  7. Transformations: Engineering the input and output
• Text Mining
  1. Text Representation
  2. Text clustering
  3. Text classification

Slides

• Data Mining
  1. Chapter 1: odp pdf handout
  2. Chapter 2: odp pdf handout
  3. Chapter 3: odp pdf handout
  4. Chapter 4: odp pdf handout
  5. Chapter 5: odp pdf handout
  6. Chapter 6: odp pdf handout
  7. Chapter 7: odp pdf handout
  8. Wiederholung
• Text Mining

Mitschriften

• Notizen vom 23.04.2008
• Notizen vom 30.04.2008
• Notizen vom 7.05.2008
• Notizen vom 14.05.2008
• Notizen vom 21.05.2008
• Notizen vom 28.05.2008
• Notizen vom 11.06.2008
• Notizen vom 18.06.2008
• Notizen vom 25.06.2008

Assignments / preparation for the oral exam

• Exercise sheet 1
• Exercise sheet 2
• Exercise sheet 3
• Exercise sheet 4
• Exercise sheet 5
• Exercise sheet 6
• Slides tutorials (16.04.2008)
• Slides tutorials (30.04.2008)
• Slides tutorials (07.05.2008)
• Tutorial Notes (14.05.2007)
• Tutorial Notes (28.05.2007)
• Tutorial Notes (04.06.2008)
• Tutorial Notes (11.06.2008)
• Tutorial Notes (18.06.2008)
• Tutorial Notes (25.06.2008)
• Tutorial Notes (02.07.2008)
• Tutorial Notes (09.07.2008)
• Tutorial Notes (16.07.2008)
• Examples for assignments can be found here.
• Examples for questions in the oral exam (only in German)
  (consider also the repetition slides)

Additional material

1. The data mining part of the course is based on the book `Data Mining' by Ian Witten und Eibe Frank.
2. The text mining part is based on chapters 13-17 of the book Buches Introduction to Information Retrieval by D. Manning, Prabhakar Raghavan and Hinrich Schütze.