Background(I)
       •  1995: doctoral student.
           – Visit University of Regina (Prof. Ziarko)
           – Visit Warsaw University (Prof. Pawlak)
       •  1998: Defend thesis. Data Mining process model 
          (Anita Wasilewska & C. Fernandez-Baizan)
       •  Since then: 
           – Data Bases Professor: Data bases, data mining
           – Coordinator of the Data Mining group at Facultad de 
              Informática UPM
                • Techniques: Rough Sets, Bayes, …
                • Methodologies for data mining process management
                    – Evaluation in Data Mining
                    – Experimentation in Web Mining
                • Web Mining: Web Goal Mining 
                              Background(II)
       •  Projects developed:
           – Pure Research:
                • Data Mining to be integrated on RDBMS
                • Web Profiler
                • Methodology for Data Mining process management 
           – Research and application:
                • Data Mining applied on different domains:
                    – Car dealers
                    – Travel agency
                    – ….
            Data Mining Project Development
       •  Methodologies for Data Mining project 
          development
           – Is it really Data Mining a Science?
           – Are we developing proyects as an art?
           – Has the research got the same results in all the areas?? 
                • Algorithms
                • Data Preparation
                • Data enrichment
                • Conceptualization of Data Mining problems
                 Data Mining: an art, a science?
        •   Since it appeared a lot of algorithms have been 
            programmed 
        •   Standards:
              – Crisp-DM
              – SEMMA
              – PMML 3.0
        •   Process depends on the expertise of the data miner
        •   User speaks about business problems
        •   Data Miner speaks about algorithms 
                     Data Mining as a project
       •  Data Mining is data intensive activity
           – Data understanding
           – Data Preparation 
       •  Database manager:
           – Transactional databases
           – Datawarehouses
       •  The end result of a data mining project is a tool 
          (software project) for better decision making 
          process:
           – Software development project
       •  IT department has to be involved