Unsupervised data mining : introduction

D. Coomans; C. Smyth; I. Lee; T. Hancock; J. Yang

Unsupervised data mining : introduction

D. Coomans, C. Smyth, I. Lee, T. Hancock, J. Yang

Research output: Chapter in Book / Conference Paper › Chapter

4 Citations (Scopus)

Abstract

Data mining has become very popular in the information technology industry and is also emerging in the field of chemometrics. This has coincided with the evolution of the field of chemometrics into the wider field of chemoinformatics. Data mining is necessary because of the increasing availability of very large amounts of data and the pressing need for converting such data into useful information and knowledge. Data mining is essentially the science of extracting information from large data sets and databases.

Original language	English
Title of host publication	Comprehensive Chemometrics: Chemical and Biochemical Data Analysis. Volume 2
Editors	Steven D. Brown, Romà Tauler, Beata Walczak
Place of Publication	U.K.
Publisher	Elsevier
Pages	559-576
Number of pages	18
ISBN (Print)	9780444527028
Publication status	Published - 2009

Cite this

@inbook{bdd6568ae3bf431683a9ab773ca2e3f8,

title = "Unsupervised data mining : introduction",

abstract = "Data mining has become very popular in the information technology industry and is also emerging in the field of chemometrics. This has coincided with the evolution of the field of chemometrics into the wider field of chemoinformatics. Data mining is necessary because of the increasing availability of very large amounts of data and the pressing need for converting such data into useful information and knowledge. Data mining is essentially the science of extracting information from large data sets and databases.",

author = "D. Coomans and C. Smyth and I. Lee and T. Hancock and J. Yang",

year = "2009",

language = "English",

isbn = "9780444527028",

pages = "559--576",

editor = "Brown, {Steven D.} and Rom{\`a} Tauler and Beata Walczak",

booktitle = "Comprehensive Chemometrics: Chemical and Biochemical Data Analysis. Volume 2",

publisher = "Elsevier",

}

TY - CHAP

T1 - Unsupervised data mining : introduction

AU - Coomans, D.

AU - Smyth, C.

AU - Lee, I.

AU - Hancock, T.

AU - Yang, J.

PY - 2009

Y1 - 2009

N2 - Data mining has become very popular in the information technology industry and is also emerging in the field of chemometrics. This has coincided with the evolution of the field of chemometrics into the wider field of chemoinformatics. Data mining is necessary because of the increasing availability of very large amounts of data and the pressing need for converting such data into useful information and knowledge. Data mining is essentially the science of extracting information from large data sets and databases.

AB - Data mining has become very popular in the information technology industry and is also emerging in the field of chemometrics. This has coincided with the evolution of the field of chemometrics into the wider field of chemoinformatics. Data mining is necessary because of the increasing availability of very large amounts of data and the pressing need for converting such data into useful information and knowledge. Data mining is essentially the science of extracting information from large data sets and databases.

UR - http://handle.uws.edu.au:8081/1959.7/557295

M3 - Chapter

SN - 9780444527028

SP - 559

EP - 576

BT - Comprehensive Chemometrics: Chemical and Biochemical Data Analysis. Volume 2

A2 - Brown, Steven D.

A2 - Tauler, Romà

A2 - Walczak, Beata

PB - Elsevier

CY - U.K.

ER -

Unsupervised data mining : introduction

Abstract

Other files and links

Fingerprint

Cite this