Universidad de Jaén

Menú local

Syllabus 2015-16 - 13313008 - Web Mining (Minería web)

Caption
  • Level 1: Tutorial support sessions, materials and exams in this language
  • Level 2: Tutorial support sessions, materials, exams and seminars in this language
  • Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: Grado en Ingeniería informática
FACULTY: SCHOOL OF ENGINEERING OF JAÉN
ACADEMIC YEAR: 2015-16
COURSE: Web Mining
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Web Mining
CODE: 13313008 ACADEMIC YEAR: 2015-16
LANGUAGE: English LEVEL: 2
ECTS CREDITS: 6.0 YEAR: 4 SEMESTER: SC
2. LECTURER BASIC INFORMATION
NAME: GONZÁLEZ GARCÍA, PEDRO
DEPARTMENT: U118 - INFORMÁTICA
FIELD OF STUDY: 570 - LENGUAJES Y SISTEMAS INFORMÁTICOS
OFFICE NO.: A3 - 123 E-MAIL: pglez@ujaen.es P: 953212464
WEBSITE: http://www4.ujaen.es/~pglez
ORCID: https://orcid.org/0000-0002-6733-3868
LANGUAGE: English LEVEL: 2
NAME: PÉREZ CORDÓN, LUIS GONZAGA
DEPARTMENT: U118 - INFORMÁTICA
FIELD OF STUDY: 075 - CIENCIA DE LA COMPUTACIÓN E INT. ARTIFICIAL
OFFICE NO.: A3 - 240 E-MAIL: lgonzaga@ujaen.es P: 953213018
WEBSITE: http://wwwdi.ujaen.es/?q=es/lgonzaga
ORCID: https://orcid.org/0000-0002-0753-6460
LANGUAGE: English LEVEL: 2
3. CONTENT DESCRIPTION

Theory:

  • Introduction
    • Web Mining foundations
    • Web Mining techniques and applications
  • Web usage mining
    • Log file preprocessing and exploratory analysis
    • Modelization and personalization
  • Web structure mining
    • Information retrieval and web search
    • Hyperlink ranking
  • Web content mining
    • Learning in web content mining
    • Applications of web content mining

 

Practices:

  • Web usage mining
  • Web structure mining
  • Web content mining

 

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

Students will have available educational material on the virtual teaching platform of de University of Jaén. They will also have tutorial support from the teaching staff to perform the learning task. 

The course is organized in three parts, theory, practice and assignments:

  • The theory is taught through master classes and seminars, including sessions, seminars and resolution of doubts. Allow students acquire skills: CC6 y CC15.
  • The practical part will be held in groups (up to four students) in the computer lab, where the teacher will explain the contents of each practice. The groups will develop the tasks. Allow students to acquire skills: CC6 y CC15.
  • The assignments will be developed by the students related to one of the proposed topics. Allow students to acquire skills: CC6 y CC15.

 

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

Evaluation consists of 4 elements: teoretical knowledge, practical knowledge, assignments and participation, with the following weights:

  • Teoretical examn: 30%
  • Practices: 30%
  • Assingment: 10%
  • Participation: 10 %

To pass the subject, the student must obtain a minimum score of 5 (out of 10)  by adding each of the parts according to their percentages and the criteria specified above, and using the following instruments:

  • Teoretical concepts: Written exam. This allows to evaluate competences CC6, CC15.
  • Computer practices: Practice reports. This allows to evaluate competences: CC6, CC15. 
  • Assignments: Delivery and presentation of assignments, considering the structure, content and innovation. This allows to evaluate competences: CC6, CC15. 
  • Participation: Observation and teacher notes.

The mark obtained by the student during the academic year, both in practice, assignments and class participation, will be retained for the extraordinary examination sessions.

6. BOOKLIST
MAIN BOOKLIST:
  • Web data mining: exploring hyperlinks, contents and usage data. Edition: -. Author: Liu, Bing. Publisher: Berlin [etc] : Springer, 2008  (Library)
  • Data mining the Web: uncovering patterns in Web content, structure, and usage. Edition: -. Author: Markov, Zdravko. Publisher: Hoboken, N.J. : Wiley-Interscience, 2007  (Library)
  • Web Data Mining [Recurso electrónico] : Exploring Hyperlinks, Contents, and Usage Data. Edition: -. Author: Liu, Bing. Publisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2007.  (Library)
  • Mining the Web: discovering knowledge from hypertext data. Edition: -. Author: Chakrabarti, Soumen. Publisher: Amsterdam [etc] : Morgan Kaufmann, 2003.  (Library)
  • Mining the Web [Recurso electrónico] : discovering knowledge from hypertext data. Edition: -. Author: Chakrabarti, Soumen. Publisher: San Francisco, CA : Morgan Kaufmann Publishers, c2003.  (Library)
  • Data mining : concepts and techniques. Edition: 3rd ed. Author: Han, Jiawei. Publisher: Burlington, MA : Elsevier, c2012  (Library)
ADDITIONAL BOOKLIST:
  • Mining the social web. Edition: -. Author: Russell, Matthew A.. Publisher: Sebastopol, CA : O'Reilly, 2011  (Library)
  • Mining the social web [Recurso electrónico]. Edition: 1st ed. Author: Russell, Matthew A., computer scientist. Publisher: Sebastopol, Calif. : O'Reilly, 2011  (Library)
  • Web mining: applications and techniques. Edition: -. Author: Scime, Anthony. Publisher: Hershey [etc.] : Idea Group Publishing, 2005.  (Library)