In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
The success of a company increasingly depends on timely information (internal or external) being available to the right person at the right time for crucial managerial decision-ma...
Andrew N. K. Chen, Paulo B. Goes, Alok Gupta, Jame...
We address a novel problem domain in the analysis of optical coherence tomography (OCT) images: the diagnosis of multiple macular pathologies in retinal OCT images. The goal is to ...
Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa 0002, Gadi...
Online communities of different types have become an important part of the daily internet life of many people within the last couple of years. Both research and business have show...
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...