From Data Processing Compendium - Workflows for Knowledge Exploitation in the Process Industries

Jump to: navigation, search

Welcome to Data Processing Compendium – Workflows for Knowledge Exploitation in the Process Industries!

This Wiki contains a catalogue of methods describing single steps and best practice procedures in data pre-processing. It is one of the expected key result components of the German AiF research project "Knowledge based pre-processing of process data" (IGF-Vorhaben Nr. 16901 N). The project involves over 10 industrial partners from Germany, Belgium and France.

Contents


Introduction

The catalogue of methods contains a list of single steps in the field of data pre-processing, e.g. “Variance Estimation” and “Data Denoising”. The catalogue is also augmented by important properties, such as input and output parameters, e.g. “Variance” as an input for “Data Denoising”, and available software tools that support the user in performing the corresponding pre-processing step. The steps are classified into several main categories, including but not limited to Data Cleaning, Data Integration, Data Transformation, Data Reduction, Data Discretization, and Auxiliary Steps. Established work processes in data pre-processing, which document best practice procedures from industrial partners and from literature are available in the catalogue as well.

A Catalogue of Methods in Data Pre-processing

The current version of the catalogue of methods collects a list of existing pre-processing steps (Single Steps) and some reference work processes in data pre-processing. To view the details of the catalogue click Single Steps, Reference Work Processes or Algorithms below. The catalogue is being continuously extended.

Acknowledgment

Das IGF-Vorhaben Nr. 16901 N der Forschungsvereinigung DECHEMA e.V., Theodor-Heuss-Allee 25, 60486 Frankfurt am Main wird über die AiF im Rahmen des Programms zur Förderung der industriellen Gemeinschaftsforschung und -entwicklung (IGF) vom Bundesministerium für Wirtschaft und Technologie aufgrund eines Beschlusses des Deutschen Bundestages gefördert.

(English version below)

We gratefully acknowledge the Dechema e.V. (Theodor-Heuss-Allee 25, 60486 Frankfurt am Main) for the financial support of the research project (IGF-Vorhaben Nr. 16901 N) supported by the German Federal Ministry of Economics and Technology (Bundesministerium für Wirtschaft und Technologie / BMWi) via the "Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto-von-Guericke" e.V. (AiF).

This page was last modified on 26 July 2013, at 08:42.This page has been accessed 74,005 times.