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SCOPES
2004
Springer
13 years 10 months ago
An Automated C++ Code and Data Partitioning Framework for Data Management of Data-Intensive Applications
An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
Athanasios Milidonis, Grigoris Dimitroulakos, Mich...
DAWAK
2000
Springer
13 years 9 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese
IUI
2010
ACM
14 years 1 months ago
An adaptive calendar assistant using pattern mining for user preference modelling
In this paper, we present SmartCal, a calendar assistant that suggests appointment attributes, such as time, day, duration, etc., given any combination of initial user input attri...
Alfred Krzywicki, Wayne Wobcke, Anna Wong
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
14 years 5 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
DOLAP
2007
ACM
13 years 8 months ago
OLAP preferences: a research agenda
Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the ...
Stefano Rizzi