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ICAC
2009
IEEE
15 years 11 months ago
Ranking the importance of alerts for problem determination in large computer systems
The complexity of large computer systems has raised unprecedented challenges for system management. In practice, operators often collect large volume of monitoring data from system...
Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Akhil...
ECIR
2009
Springer
16 years 1 months ago
Combination of Documents Features Based on Simulated Click-through Data
Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance ...
Ali Mohammad Zareh Bidoki, James A. Thom
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
15 years 11 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
189
Voted
BMCBI
2004
167views more  BMCBI 2004»
15 years 4 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...