Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Online product reviews are becoming increasingly available, and are being used more and more frequently by consumers in order to choose among competing products. Tools that rank co...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
Abstract. This paper proposes to exploit content and usage information to rearrange an inverted index for a full-text IR system. The idea is to merge the entries of two frequently ...
Web2.0 has brought tagging at the forefront of user practises for organizing and locating resources. Unfortunately, these tagging efforts suffer from a main drawback: lack of inter...