Data Mining for Service

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Yada, Katsutoshi (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Σειρά: Studies in Big Data, 3
• Θέματα: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Operation Research/Decision Theory.

Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc. Data mining is a series of processes which include collecting a...

Πίνακας περιεχομένων:

• Part I Fundamental Technologies Supporting Service Science
• Part II Knowledge Discovery from Text
• Part III Approach for New Services in Social Media
• Part IV Data Mining Spreading into Various Service Fields.