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DAWAK
2005
Springer
13 years 9 months ago
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...

Book
352views
15 years 6 months ago
Object-Oriented Reengineering Patterns
"The documentation is missing or obsolete, and the original developers have departed. Your team has limited understanding of the system, and unit tests are missing for many, i...
Serge Demeyer, Stéphane Ducasse, Oscar Nierstrasz
SIGIR
2006
ACM
14 years 1 months ago
You are what you say: privacy risks of public mentions
In today’s data-rich networked world, people express many aspects of their lives online. It is common to segregate different aspects in different places: you might write opinion...
Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. T...
VRST
2010
ACM
13 years 5 months ago
Shake-your-head: revisiting walking-in-place for desktop virtual reality
The Walking-In-Place interaction technique was introduced to navigate infinitely in 3D virtual worlds by walking in place in the real world. The technique has been initially devel...
Léo Terziman, Maud Marchal, Mathieu Emily, ...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 9 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen