A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
It is often desirable to extract structured information from raw web pages for better information browsing, query answering, and pattern mining. Many such Information Extraction (...
Sales prediction is a complex task because of large number of factors affecting the demand. We present a context aware sales prediction approach, which selects the base predictor ...
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...