Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Master

SUBJECT

Code
Subject
MML1016 Knowledge Discovery in Wide Area Networks
Section
Semester
Hours: C+S+L
Category
Type
Intelligent Systems - in English
1
2+2+0
speciality
compulsory
Teaching Staff in Charge
Lect. SACAREA Cristian, Ph.D.,  csacareamath.ubbcluj.ro
Aims
• To introduce the student to a broad range of information representation models drawn from the fields of information science, computer science, semiotics, philosophy, cognitive psychology, and artificial intelligence.
• To introduce a formal method of qualitative data analysis.
• To provide practical experience with basic data analysis techniques, such as selection, grouping and scaling of features.
• To develop the student@s ability to understand the problems involved in the formalization of informal data.
• To teach practical skills of using the computer software DIAGRAM, ANACONDA, and TOSCANA.
• To provide practical experience with techniques of structuring graphical representations.
• To provide insights into the formal structure of classification systems.
Content
Introduction: Data, Information, and Knowledge
• Classification, categorization, and concepts
• Cognitive Organization of Information
• Introduction in Knowledge Management
• Formal Modeling of Data
• Conceptual Knowledge Representation
• Formal Concept Analysis
• Concept Hierarchies from Contexts
• Conceptual Knowledge Inferences
• ANACONDA and DIAGRAM
• Conceptual Scaling
• Nested concept hierarchies and TOSCANA
• Conceptual Knowledge Aquisition
• Applications
References
1. Bernhard Ganter, Rudolf Wille, Formal Concept Analysis, Springer Verlag, 2000
2. Aldo de Moord, Wilfried Lex, Bernhard Ganter, eds., Conceptual Structures for Knowledge Creation and Communication, Springer LNAI 2746, 2003.
3. Bernhard Ganter, Aldo de Moord, eds., Using Conceptual Structures, Shaker Verlag, 2003.
4. Frank Vogt, Formal Concept Analysis with C++, Springer, 1996
Rokia Missaoui, Jürg Schmid, eds., Formal Concept Analysis, Springer LNAI 3874, 2006.
Assessment
The activity ends with a written final exam (grade E) and a practical project during the semester (grade P). The exam subjects have theoretical questions from all the studied topics, and one problem, among the problems studied at the course and seminar. The final grade arithmetical mean of the two grades mentioned above, conditioned by all the grades being at least 5. Otherwise, the exam will not be passed. The final grade = (E + P)/2.
Links: Syllabus for all subjects
Romanian version for this subject
Rtf format for this subject