We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
The strength of GIS is in providing a rich data infrastructure for combining disparate data in meaningful ways by using a spatial arrangement (e.g., proximity). As a toolbox, a GI...
At present, we have proceeded to extend SQL into a new language called dmFSQL (data mining Fuzzy Structured Query Language) which can be used to solve real problems of Data Mining...
— Data mining in biological structure libraries can be a powerful tool to better understand biochemical processes. This article introduces the LISA algorithm which enables the re...
— With growing amount of data gathered nowadays, the need for efficient data mining methodologies is getting more and more common. There is a large number of different classifi...
Customer retention is crucial for any company relying on a regular client base. One way to approach this problem is to analyse actual user behaviour and take proper actions based o...
Private information management and compliance are important issues nowadays for most of organizations. As a major communication tool for organizations, email is one of the many pot...
Liqiang Geng, Larry Korba, Xin Wang, Yunli Wang, H...
In recent years, folksonomy becomes a hot topic in many research fields such as complex systems, information retrieval, and recommending systems. It is essential to study the seman...
Kaikuo Xu, Yu Chen, Yexi Jiang, Rong Tang, Yintian...