Abstract Applying the Knowledge Discovery in Databases (KDD) Process to Fermilab Accelerator Machine Data
Abstract:
During day to day operations Fermilab collects a substantial amount of accelerator machine data. This repository of data provides an ideal basis for applying the knowledge discovery in databases (KDD) process. Knowledge discovery in databases is a new and emerging field that defines a set of techniques and tools for decision support and data analysis [1]. This paper describes our approach for applying the KDD process to accelerator machine data in order to improve machine operation, performance and understanding. In the initial sections of this paper we will describe our motivations and goals, along with a brief description of what the KDD process is. In the last section we will describe our steps in the application of the KDD process. This description will be in the context of a real accelerator controls application shot data analysis (SDA). 1
Citations
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| 119 | The Process of Knowledge Discovery in Databases: A Human-centered Approach – Brachman, Anand - 1996 |
| 61 | From Data Mining to Knowledge Discovery – Fayyad, Piatetsky-Shapior, et al. - 1996 |
| 10 | Attribute-oriented induction in data mining – Han, Fu - 1996 |
