Innovative Applications in Data Mining

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually ba...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Nedjah, Nadia (Επιμελητής έκδοσης), Macedo Mourelle, Luiza de (Επιμελητής έκδοσης), Kacprzyk, Janusz (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 169
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images
  • A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN
  • Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?
  • Clustering Dynamic Web Usage Data
  • Towards Characterization of the Data Generation Process
  • Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines.