On the role of pre and post-processing in environmental data mining

Karina Gibert; Joaquín Izquierdo; Geoff Holmes; Ioannis Athanasiadis; Joaquim Comas; Miquel Sànchez-Marrè

On the role of pre and post-processing in environmental data mining

Karina Gibert^*
, Joaquín Izquierdo
, Geoff Holmes
, Ioannis Athanasiadis
, Joaquim Comas
, Miquel Sànchez-Marrè

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

20 Citations (Scopus)

Abstract

The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use to contain noise, uncertainty, errors, redundancies or even irrelevant information. The more complex is the reality to be analyzed, the higher the risk of getting low quality data. Knowledge Discovery from Databases (KDD) offers a global framework to prepare data in the right form to perform correct analyses. On the other hand, the quality of decisions taken upon KDD results, depend not only on the quality of the results themselves, but on the capacity of the system to communicate those results in an understandable form. Environmental systems are particularly complex and environmental users particularly require clarity in their results. In this paper some details about how this can be achieved are provided. The role of the pre and post processing in the whole process of Knowledge Discovery in environmental systems is discussed.

Original language	English
Title of host publication	4th Biennial Meeting of International Congress on Environmental Modelling and Software
Subtitle of host publication	Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
Editors	M. Sànchez-Marrè, J. Béjar, J. Comas, A.E. Rizzoli, G. Guariso
Publisher	iEMSs
Pages	1937-1958
Number of pages	22
Volume	3
ISBN (Print)	9788476530740
Publication status	Published - 2008
Externally published	Yes
Event	4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 - Barcelona, Catalonia, Spain Duration: 7 Jul 2008 → 10 Jul 2008

Conference/symposium

Conference/symposium	4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
Country/Territory	Spain
City	Barcelona, Catalonia
Period	7/07/08 → 10/07/08

Keywords

Artificial intelligence
Data mining
Environmental systems
Knowledge discovery of data
Postprocessing
Preprocessing
Statistics

Cite this

Gibert, K., Izquierdo, J., Holmes, G., Athanasiadis, I., Comas, J., & Sànchez-Marrè, M. (2008). On the role of pre and post-processing in environmental data mining. In M. Sànchez-Marrè, J. Béjar, J. Comas, A. E. Rizzoli, & G. Guariso (Eds.), 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 (Vol. 3, pp. 1937-1958). iEMSs.

Gibert, Karina ; Izquierdo, Joaquín ; Holmes, Geoff et al. / On the role of pre and post-processing in environmental data mining. 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. editor / M. Sànchez-Marrè ; J. Béjar ; J. Comas ; A.E. Rizzoli ; G. Guariso. Vol. 3 iEMSs, 2008. pp. 1937-1958

@inproceedings{5642979470ce456b97f00130d80656ba,

title = "On the role of pre and post-processing in environmental data mining",

abstract = "The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use to contain noise, uncertainty, errors, redundancies or even irrelevant information. The more complex is the reality to be analyzed, the higher the risk of getting low quality data. Knowledge Discovery from Databases (KDD) offers a global framework to prepare data in the right form to perform correct analyses. On the other hand, the quality of decisions taken upon KDD results, depend not only on the quality of the results themselves, but on the capacity of the system to communicate those results in an understandable form. Environmental systems are particularly complex and environmental users particularly require clarity in their results. In this paper some details about how this can be achieved are provided. The role of the pre and post processing in the whole process of Knowledge Discovery in environmental systems is discussed.",

keywords = "Artificial intelligence, Data mining, Environmental systems, Knowledge discovery of data, Postprocessing, Preprocessing, Statistics",

author = "Karina Gibert and Joaqu{\'i}n Izquierdo and Geoff Holmes and Ioannis Athanasiadis and Joaquim Comas and Miquel S{\`a}nchez-Marr{\`e}",

year = "2008",

language = "English",

isbn = "9788476530740",

volume = "3",

pages = "1937--1958",

editor = "M. S{\`a}nchez-Marr{\`e} and J. B{\'e}jar and J. Comas and A.E. Rizzoli and G. Guariso",

booktitle = "4th Biennial Meeting of International Congress on Environmental Modelling and Software",

publisher = "iEMSs",

note = "4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 ; Conference date: 07-07-2008 Through 10-07-2008",

}

Gibert, K, Izquierdo, J, Holmes, G, Athanasiadis, I, Comas, J & Sànchez-Marrè, M 2008, On the role of pre and post-processing in environmental data mining. in M Sànchez-Marrè, J Béjar, J Comas, AE Rizzoli & G Guariso (eds), 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. vol. 3, iEMSs, pp. 1937-1958, 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008, Barcelona, Catalonia, Spain, 7/07/08.

On the role of pre and post-processing in environmental data mining. / Gibert, Karina; Izquierdo, Joaquín; Holmes, Geoff et al.
4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. ed. / M. Sànchez-Marrè; J. Béjar; J. Comas; A.E. Rizzoli; G. Guariso. Vol. 3 iEMSs, 2008. p. 1937-1958.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - On the role of pre and post-processing in environmental data mining

AU - Gibert, Karina

AU - Izquierdo, Joaquín

AU - Holmes, Geoff

AU - Athanasiadis, Ioannis

AU - Comas, Joaquim

AU - Sànchez-Marrè, Miquel

PY - 2008

Y1 - 2008

N2 - The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use to contain noise, uncertainty, errors, redundancies or even irrelevant information. The more complex is the reality to be analyzed, the higher the risk of getting low quality data. Knowledge Discovery from Databases (KDD) offers a global framework to prepare data in the right form to perform correct analyses. On the other hand, the quality of decisions taken upon KDD results, depend not only on the quality of the results themselves, but on the capacity of the system to communicate those results in an understandable form. Environmental systems are particularly complex and environmental users particularly require clarity in their results. In this paper some details about how this can be achieved are provided. The role of the pre and post processing in the whole process of Knowledge Discovery in environmental systems is discussed.

AB - The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use to contain noise, uncertainty, errors, redundancies or even irrelevant information. The more complex is the reality to be analyzed, the higher the risk of getting low quality data. Knowledge Discovery from Databases (KDD) offers a global framework to prepare data in the right form to perform correct analyses. On the other hand, the quality of decisions taken upon KDD results, depend not only on the quality of the results themselves, but on the capacity of the system to communicate those results in an understandable form. Environmental systems are particularly complex and environmental users particularly require clarity in their results. In this paper some details about how this can be achieved are provided. The role of the pre and post processing in the whole process of Knowledge Discovery in environmental systems is discussed.

KW - Artificial intelligence

KW - Data mining

KW - Environmental systems

KW - Knowledge discovery of data

KW - Postprocessing

KW - Preprocessing

KW - Statistics

M3 - Conference paper

AN - SCOPUS:79953091114

SN - 9788476530740

VL - 3

SP - 1937

EP - 1958

BT - 4th Biennial Meeting of International Congress on Environmental Modelling and Software

A2 - Sànchez-Marrè, M.

A2 - Béjar, J.

A2 - Comas, J.

A2 - Rizzoli, A.E.

A2 - Guariso, G.

PB - iEMSs

T2 - 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

Y2 - 7 July 2008 through 10 July 2008

ER -

Gibert K, Izquierdo J, Holmes G, Athanasiadis I, Comas J, Sànchez-Marrè M. On the role of pre and post-processing in environmental data mining. In Sànchez-Marrè M, Béjar J, Comas J, Rizzoli AE, Guariso G, editors, 4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008. Vol. 3. iEMSs. 2008. p. 1937-1958

On the role of pre and post-processing in environmental data mining

Abstract

Conference/symposium

Keywords

Fingerprint

Cite this