Summer Semester 2009/10
Intelligent Internet Applications (elective) PI_ITI1203
Course content:
- Introduction to using the WEKA–Explorer package.
- The use WEKA classes in a web application from Java.
- WEKA package data formats and operations on them in Java.
- Building of classifier and evaluation from the application level.
- Classifying of new instances.
- Creating the model and its subsequent use.
- The use of clustering algorithms.
- Selecting attributes.
- Use of filters for initial data processing.
- Text mining.
- WEKA-Experimenter.
- WEKA-KnowledgeFlow.
- WEKA-Command-line.
Learning outcomes:
- Ability to use the WEKA package in web applications.
- Ability to design and implement web applications using intelligent algorithms.
(in Polish) Rodzaj przedmiotu
Course coordinators
Bibliography
a) basic references:
1. Witten, I.H., Frank, E., (2005). Data Mining: Practical machine learning tools and techniques, Morgan Kaufmann, San Francisco, CA, USA.
2. Larose, D. T. (2006). Odkrywanie wiedzy z danych: Wprowadzenie do eksploracji danych. Wydawnictwo Naukowe PWN, Warszawa.
3. Hall, M., Brown, L., Chaikin, Y. (2009). Core Java Servlets i JavaServer Pages. Helion.
4. Dokumentacja pakietu WEKA http://www.cs.waikato.ac.nz/ml/weka/
b) supplementary references:
1. Markov, Z., Larose, D. T. (2009). Eksploracja zasobów internetowych. Wydawnictwo Naukowe PWN, Warszawa.
2. Larose, D. T. (2008). Metody i modele eksploracji danych. Wydawnictwo Naukowe PWN, Warszawa.
3. Horstman, C.S., Cornell, G. - Core Java (2009). Techniki zaawansowane. Helion.
4. Basham, B., Sierra, K., Bates, B. (2008). Head First Servlets & JSP. Helion.