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An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on eecient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such(More)
With the existence of many large transaction databases, the huge amounts of data, the high scal-ability of distributed systems, and the easy partition and distribution of a centralized database, it is important to investigate eecient methods for distributed mining of association rules. This study discloses some interesting relationships between locally(More)
The Online Social Network (OSN) sites have been getting more and more popular in recent years and there are interests of having a tool to automatically retrieve and analyze the information in order to understand their related social behavior. This paper presents a framework of D-miner Cloud (DMC) based on a cloud architecture which can provide collection of(More)
Many sequential algorithms have been proposed for mining of association rules. However, very little work has been done in mining association rules in distributed databases. A direct application of sequential algorithms to distributed databases is not eeective, because it requires a large amount of communication overhead. In this study, an eecient algorithm,(More)
A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. In recent years, it has been shown that sparse representation (SR) by l_1-norm minimization is robust to noise, outliers and even incomplete measurements, and SR has been successfully used for classification. This paper presents a new SR-based method(More)
Much research effort has been conducted to analyze information from social networks, including finding the influential users. In this paper, we propose a graph model to represent the relationships between online posts of one topic, in order to identify the influential users. Besides the role of starters, we suggest a new role, the connecter, to help(More)
There has been much recent work in wearable computing that is directed at democratization of the field, to make it more accessible to the general public and more easily used by the hobbyist user. As the field becomes more diversified, there has also been a shift away from the highly specialized functionality of earlier applications towards aesthetics,(More)