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Syllabus 2018-19 - 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: 2018-19
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Web Mining
CODE: 13313008 ACADEMIC YEAR: 2018-19
LANGUAGE: English LEVEL: 2
ECTS CREDITS: 6.0 YEAR: 4 SEMESTER: SC
 
2. LECTURER BASIC INFORMATION
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
LANGUAGE: English LEVEL: 2
 
3. CONTENT DESCRIPTION

Theory:

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

Practices

  • Web structure mining
  • Web content mining
  • Web usage 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. This activity allows students to acquire the skills of the subject.
  • 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. This activity allows students to
    acquire the skills of the subject.
  • The assignments will be developed by the students related to one of the proposed topics. This activity allows students to acquire the skills of the subject.

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

According to article 13 of the Regulation of Academic Regime and Evaluation of the students of the University of Jaén, the evaluation will be global.

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

  • Teoretical examn: 20%
  • Practices: 30%
  • Assingment: 30%
  • Participation: 20 %


To pass the subject: 1.- the student must obtain a minimum score of 5 (out of 10) by adding each of the parts according to their percentages and 2.- the student must obtain a minimum of 4 points in each of the parts.

The criteria used in the evaluation are the following ones:

  •  Teoretical concepts: Written exam. This allows to evaluate competences of the subject.
  • Computer practices: Practice reports. This allows to evaluate competences of the subject.
  • Assignments: Delivery and mandatory presentation of assignments, considering the structure, content and innovation. This allows to evaluate competences of the subject.
  • Participation: Observation and teacher's notes. In order to assess this section, student may do some exercises in classes

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:
  • Data mining the Web: uncovering patterns in Web content, structure, and usage. Edition: -. Author: Markov, Zdravko. Publisher: Hoboken, N.J. : Wiley-Interscience, 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)