L Parsons, E Haque, H Liu - Acm sigkdd explorations newsletter, 2004 - dl.acm.org
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. Often in high dimensional data, many dimensions are …
S Liao, Y Hu, X Zhu, SZ Li - … of the IEEE conference on computer …, 2015 - cv-foundation.org
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re …
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential …
An ontology typically provides a vocabulary describing a domain of interest and a specification of the meaning of terms in that vocabulary. Depending on the precision of this …
Abstract Interest in Opinion Mining has been growing steadily in the last years, mainly because of its great number of applications and the scientific challenge it poses …
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along …
The rapid growth of the Web in the past two decades has made it the largest publicly accessible data source in the world. Web mining aims to discover useful information or …
P Shvaiko, J Euzenat - Journal on data semantics IV, 2005 - Springer
Schema and ontology matching is a critical problem in many application domains, such as semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many …
The state-of-the-art in the area of modelling of organisations is based on fixed metamodels. Due to rapid changing business requirements the complexity in developing applications …