The present paper proposes a new model for the exploration of hesitated patterns from
multiple levels of conceptual hierarchy in the transactional dataset. The usual practice of …

In the multi-sensor target identification problem involving multiple frames, it is important to
fuse the potential information characterizing inherent relations among frames with uncertain …

Event detection by discovering frequent itemsets is very popular in sensor network
communities. However, the recorded data is often a probability rather than a determined …

This study describes the formalization of the medical decision-making process under
uncertainty underpinned by conditional preferences, the theory of evidence and the …

In order to improve the quality of modern physical education (PE) and let PE teachers get rid
of the busy data management, this article puts forward the design of an assessment system …

Applications like business basket analysis, digital service analytics, bio-informatics, and
mobile commerce have greatly benefited from the information retrieval of significant features …

In view of the high-dimensional data stream characteristics of Omni-Channel consumer
behavior, the synopsis generation algorithm of the Omni-Channel consumer segmentation …

Some existing classifications need frequent update to adapt to the change of concept in data
streams. To solve this problem, an adaptive method Pattern-based Hoeffding Tree (PatHT) is …

Rapid advancement in internet has made many Social Networking Sites (SNS) popular
among a huge population, as various SNS accounts are interlinked with each other, spread …