%0 Journal Article %1 liao-data-mining-review %A Liao, Shu-Hsien %A Chu, Pei-Hui %A Hsiao, Pei-Yuan %D 2012 %J Expert Systems with Applications %K data_mining survey %N 12 %P 11303--11311 %R http://dx.doi.org/10.1016/j.eswa.2012.02.063 %T Data mining techniques and applications – A decade review from 2000 to 2011 %U http://www.sciencedirect.com/science/article/pii/S0957417412003077 %V 39 %X In order to determine how data mining techniques (DMT) and their applications have developed, during the past decade, this paper reviews data mining techniques and their applications and development, through a survey of literature and the classification of articles, from 2000 to 2011. Keyword indices and article abstracts were used to identify 216 articles concerning \DMT\ applications, from 159 academic journals (retrieved from five online databases), this paper surveys and classifies DMT, with respect to the following three areas: knowledge types, analysis types, and architecture types, together with their applications in different research and practical domains. A discussion deals with the direction of any future developments in \DMT\ methodologies and applications: (1) \DMT\ is finding increasing applications in expertise orientation and the development of applications for \DMT\ is a problem-oriented domain. (2) It is suggested that different social science methodologies, such as psychology, cognitive science and human behavior might implement DMT, as an alternative to the methodologies already on offer. (3) The ability to continually change and acquire new understanding is a driving force for the application of \DMT\ and this will allow many new future applications.

@article{liao-data-mining-review, abstract = {In order to determine how data mining techniques (DMT) and their applications have developed, during the past decade, this paper reviews data mining techniques and their applications and development, through a survey of literature and the classification of articles, from 2000 to 2011. Keyword indices and article abstracts were used to identify 216 articles concerning \{DMT\} applications, from 159 academic journals (retrieved from five online databases), this paper surveys and classifies DMT, with respect to the following three areas: knowledge types, analysis types, and architecture types, together with their applications in different research and practical domains. A discussion deals with the direction of any future developments in \{DMT\} methodologies and applications: (1) \{DMT\} is finding increasing applications in expertise orientation and the development of applications for \{DMT\} is a problem-oriented domain. (2) It is suggested that different social science methodologies, such as psychology, cognitive science and human behavior might implement DMT, as an alternative to the methodologies already on offer. (3) The ability to continually change and acquire new understanding is a driving force for the application of \{DMT\} and this will allow many new future applications.}, added-at = {2016-07-12T19:24:18.000+0200}, author = {Liao, Shu-Hsien and Chu, Pei-Hui and Hsiao, Pei-Yuan}, biburl = {https://www.bibsonomy.org/bibtex/2157c7d385bc7fb88c2f0d4ce72236927/mhwombat}, doi = {http://dx.doi.org/10.1016/j.eswa.2012.02.063}, interhash = {1be95397ba9e64c2861658def2a07e9b}, intrahash = {157c7d385bc7fb88c2f0d4ce72236927}, issn = {0957-4174}, journal = {Expert Systems with Applications}, keywords = {data_mining survey}, number = 12, pages = {11303--11311}, timestamp = {2016-07-12T19:25:30.000+0200}, title = {Data mining techniques and applications – {A} decade review from 2000 to 2011}, url = {http://www.sciencedirect.com/science/article/pii/S0957417412003077}, volume = 39, year = 2012 }