Early classification on multivariate time series has recently emerged as a novel and important topic in data mining fields with wide applications such as early detection of disease...
Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jia...
Grouping data points is one of the fundamental tasks in data mining, commonly known as clustering. In the case of interrelated data, when data is represented in the form of nodes a...
Abstract. Stochastic gradient methods are effective to solve matrix factorization problems. However, it is well known that the performance of stochastic gradient method highly dep...
Message propagation via retweet chain can be regarded as a social contagion process. In this paper, we examine burst patterns in retweet activities. A burst is a large number of re...
Zhilin Luo, Yue Wang 0009, Xintao Wu, Wandong Cai,...
Streaming heterogeneous information is ubiquitous in the era of Big Data, which provides versatile perspectives for more comprehensive understanding of behaviors of an underlying s...
In recent years, extensive studies have been conducted on high utility itemsets (HUI) mining with wide applications. However, most of them assume that data are stored in centralize...
We are working on behavioral marketing in the Internet. On one hand we observe the behavior of visitors, and on the other hand we trigger (in real-time) stimulations intended to al...
Abstract. In many activities, such as watching movies or having dinner, people prefer to find partners before participation. Therefore, when recommending activity items (e.g., mov...
Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, ...
Searching for patterns in graphs is an active field of data mining. In this context, most work has gone into discovering subgraph patterns, where the task is to find strictly de...
Tayena Hendrickx, Boris Cule, Pieter Meysman, Stef...
With social media sites, such as Twitter, providing a visual record of the daily interests and concerns of users in the form of tweets and tweeting behaviors, there is growing dema...