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» A System for Adaptive Information Retrieval
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CHI
2011
ACM
14 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
CIKM
2011
Springer
14 years 7 months ago
Citation count prediction: learning to estimate future citations for literature
In most of the cases, scientists depend on previous literature which is relevant to their research fields for developing new ideas. However, it is not wise, nor possible, to trac...
Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, Xi...
COOPIS
2003
IEEE
16 years 24 days ago
Implementation Experience with OMG's SCIOP Mapping
Longevity of distributed computing middleware standards, such as CORBA, depend on their ability to support a range of applications by providing low overhead access in a uniform man...
Gautam H. Thaker, Patrick J. Lardieri, Chuck Winte...
ITCC
2000
IEEE
15 years 12 months ago
Towards Knowledge Discovery from WWW Log Data
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
Feng Tao, Fionn Murtagh
DOLAP
2008
ACM
15 years 9 months ago
Data mining-based fragmentation of XML data warehouses
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail...
Hadj Mahboubi, Jérôme Darmont