We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
In constrained data mining, users can specify constraints that can be used to prune the search space to avoid mining uninteresting knowledge. Since it is difficult to determine th...
Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. ...
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...