In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
In this article, we review the major paradigms for approximate similarity queries and propose a classification schema that easily allows existing approaches to be compared along ...
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...