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» Large Scale Data Mining: Challenges and Responses
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179
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WWW
2006
ACM
16 years 6 months ago
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...
CIKM
2008
Springer
15 years 8 months ago
A note on search based forecasting of ad volume in contextual advertising
In contextual advertising, estimating the number of impressions of an ad is critical in planning and budgeting advertising campaigns. However, producing this forecast, even within...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...
CAINE
2009
15 years 3 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
MIDDLEWARE
2004
Springer
15 years 11 months ago
Ganymed: Scalable Replication for Transactional Web Applications
Data grids, large scale web applications generating dynamic content and database service providing pose significant scalability challenges to database engines. Replication is the ...
Christian Plattner, Gustavo Alonso
166
Voted
SEM
2004
Springer
15 years 11 months ago
Experience with Lightweight Distributed Component Technologies in Business Intelligence Systems
Business Intelligence (BI) systems address the demands of large scale enterprises for operational analytics, management information and decision support tasks. Building such applic...
Leticia Duboc, Tony Wicks, Wolfgang Emmerich