RETRACTED: Efficient mining of temporal emerging itemsets from data streams

• Published in: Expert systems with applications 2009, Vol.36 (1), p.885-893
• Main Authors: Chu, Chun-Jung, Tseng, Vincent S., Liang, Tyne
• Format: Article
• Language: English
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2007.10.040

This article has been retracted: please see Elsevier Policy on Article Withdrawal ( http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the editor as the authors have plagiarized part of a paper that had already appeared in An Efficient Method For Finding Emerging Large Itemsets, published by the Association for Computers and Machinery (ACM) in the proceedings of the KDD Temporal Data Mining Workshop in August of 2004. (An Efficient Method For Finding Emerging Large Itemsets, Susan P. Imberman, Abdullah Uz Tansel, Eric Pacuit, The Third Workshop on Mining Temporal and Sequential Data, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2004. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.