Mining matrices to find relevant biclusters, subsets of rows exhibiting a coherent pattern over
a subset of columns, is a critical task for a wide-set of biomedical and social applications …

Market segmentation plays a crucial role in product design and development. However,
conventional segmentation approaches based on one-way cluster analysis techniques have …

Historical financial data are frequently used in technical analysis to identify patterns that can
be exploited to achieve trading profits. Although technical analysis using a variety of …

Technical analysis with numerous indicators and patterns has been regarded as important
evidence for making trading decisions in financial markets. However, it is extremely difficult …

Abstract Models learned from high-dimensional data, where the high number of features
usually exceeds the number of observations, have higher propensity to either overfit or …

This paper describes the implementation of biclustering algorithm BiClusO using graphical
user interface and different parameters to generate overlapping biclusters from a binary …

Due to the effects of many deterministic and stochastic factors, it has always been a
challenging goal to gain good profits from the stock market. Many methods based on …

The prediction of stock market's trend has become a challenging task for a long time, which
is affected by a variety of deterministic and stochastic factors. In this paper, a biclustering …

Lead users are of great significance in today's customer-centric product design environment,
who are viewed as pioneers of customer needs. In order to identify the potential lead users …

More and more records or charts of historical financial data are used for technical analysis,
hoping to identify patterns that can be exploited to achieve excess profits. Technical analysis …