To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
Temporal representation and reasoning plays an important role in Data Mining and Knowledge Discovery, particularly, in mining and recognizing patterns with rich temporal informati...
Aihua Zheng, Jixin Ma, Bin Luo, Miltos Petridis, S...
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...