Philippe Lenca, associate professor at the Logics in Uses, Social Science and Information Science Department, recently co-edited a book: “New Frontiers in Applied Data Mining” published by Springer Verlag. The book contains a selection of papers presented during the workshops of the 13rd PAKDD conference (Pacific-Asia conference on Knwowledfe Discovery and Data Mining), April 2009, a major international conference in the areas of data mining and knowledge discovery.

Data mining is considered as one of the ten emerging technologies of the twenty-first century by the MIT Technology Review. It aims to extract knowledge from the large amount of data collected in databases. Data mining is regularly confronted with new challenges generated by bio-informatics, security, data flows, social networks, or environmental data. These challenges include the treatment of the volumetry of data and knowledge more than ever before complex, noisy and changing… The discipline makes great strides, from supermarkets to banks, from hospitals to scientific laboratories, through industry and food processing, very few areas escape it.

Reference:
Theeramunkong Thanaruk, Nattee Cholwich, Adeodato Paulo J.L., Chawla Nitesh, Christen Peter, Lenca Philippe, Poon Josiah, Williams Graham. New Frontiers in Applied Data Mining. Berlin Heidelberg : Springer-Verlag, 2010, vol. 5669, 169 p. (Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence, 5669), ISBN 978-3-642-14639-8.