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» Process Diagnostics: A Method Based on Process Mining
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SISAP
2008
IEEE
98views Data Mining» more  SISAP 2008»
16 years 1 months ago
On Reinsertions in M-tree
In this paper we introduce a new M-tree building method, utilizing the classic idea of forced reinsertions. In case a leaf is about to split, some distant objects are removed from...
Jakub Lokoc, Tomás Skopal
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
KDD
1994
ACM
113views Data Mining» more  KDD 1994»
15 years 11 months ago
Exploration of Simulation Experiments by Discovery
: Weexemplify in this paper, howa discovery system is applied to the analysis of simulation experimentsin practical political planning, andshowwhatkind of newknowledgecan be discov...
Willi Klösgen
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 10 months ago
Connecting the dots between news articles
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
Dafna Shahaf, Carlos Guestrin
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang