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Syllabus 2018-19 - 13312023 - Data Mining (Minería de datos)
- 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 |
COURSE: | Data Mining |
NAME: Data Mining | |||||
CODE: 13312023 | ACADEMIC YEAR: 2018-19 | ||||
LANGUAGE: English | LEVEL: 2 | ||||
ECTS CREDITS: 6.0 | YEAR: 4 | SEMESTER: PC |
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: - | LEVEL: 2 |
I. Introduction to Data Mining
1. Extracting knowledge in large databases. Data Mining. Applications.
II. Data preparation
2. Data collection and data
preparation
3. Reduction of dimensionality
4. Discretization
III. Predictive Data Mining
5. The classification problem
6. Classification trees and rules
6. Classification with other techniques
7. Numerical prediction or regression
IV . Descriptive Data Mining
9. A ssociation rules
10. Subgroup discovery
VII. Evaluation, dissemination and use of models. Data analysis tools.
11. Evaluation , dissemination and
use of models.
12. Data analysis tools .
VII. New Trends in Data Mining
13. Business Intelligence and Big Data
The course is divided into two related parts, theory and
practice.
The theory will be conducted primarily through master
classes, including activity sessions to evaluate thestudent's
participation in the course.
The practical part will be held in the computer lab.
During the academic year objective tests will be performed to
assess the knowledge acquired by the student
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
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.
To pass the course it will needed to pass both the theoretical
and the practical part .
The theoretical part and participation will be evaluated with
objective tests of theoretical concepts and practical exercises
related to the subject .
The practical part of the delivery will be assessed through
practical work performed by computer , with the the work relating
to seminars and presentations raised and with the report associated
with them . Theassessment will be continuous and incremental to
evaluate both the defense end of each work and the evolution of the
student during practices .
The exercises, homeworks, or cases, will be assessed through tasks, cases or exercisses proposed in class.
The portion corresponding to participation will be evaluated
by some quizzes conducted during class hours corresponding to
theory and practices.
- Practical applications of data mining [Recurso electrónico]. Edition: -. Author: Suh, Sang C. Publisher: Sudbury, Mass. : Jones & Bartlett Learning, c2012 (Library)
- Data mining : concepts and techniques. Edition: 3rd ed. Author: Han, Jiawei. Publisher: Burlington, MA : Elsevier, c2012 (Library)
- Data mining: practical machine learning tools and techniques. Edition: 3rd ed.. Author: Witten, Ian H.. Publisher: Amsterdam: Morgan Kaufman: Elsevier, 2011 (Library)
- Data mining [Recurso electrónico] : practical machine learning tools and techniques. Edition: 3rd ed. Author: Witten, I. H. (Ian H.). Publisher: Burlington, MA : Morgan Kaufmann Publishers, 2011 (Library)
- Data mining techniques for marketing, sales and customer relationship management. Edition: 3rd ed.. Author: Linoff, Gordon S. Publisher: New York, NY [etc.] : Wiley, 2011 (Library)
- Data preparation for data minig. Edition: -. Author: Pyle, Dorian. Publisher: San Francisco: Morman Kaufmann, 1999 (Library)
- Predictive data mining : a practical guide. Edition: -. Author: Weiss, Sholom M.. Publisher: San Francisco: Morgan Kaufmann Publishers, cop. 1998 (Library)