Data Mining for Service

• Corporate Author: SpringerLink (Online service)
• Other Authors: Yada, Katsutoshi (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: Studies in Big Data, 3
• Subjects: 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...

Table of Contents:

• 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.