Capturing Fast-Flux Service Networks (FFSNs) by temporal variances is an intuitive way for seeking to identify rapid changes of DNS records. Unfortunately, the features regard to ...
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
Abstract: A comparative interaction detection paradigm is proposed to study the complex gene regulatory networks that control cell proliferation during development. Instead of atte...
Mingzhou Song, Chung-Chien Hong, Yang Zhang, Laura...
We propose a sensornet programming model based on declarative spatio-temporal constraints on events only, not sensors. Where previous approaches conflate events and sensors becaus...