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» Sequence Mining in Categorical Domains: Algorithms and Appli...
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SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
13 years 9 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
KAIS
2006
95views more  KAIS 2006»
13 years 8 months ago
Discovering mappings in hierarchical data from multiple sources using the inherent structure
Unprecedented amounts of media data are publicly accessible. However, it is increasingly difficult to integrate relevant media from multiple and diverse sources for effective appli...
K. Selçuk Candan, Jong Wook Kim, Huan Liu, ...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 2 months ago
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Yanmin Sun, Mohamed S. Kamel, Yang Wang 0007
WWW
2008
ACM
14 years 8 months ago
Web page rank prediction with markov models
In this paper we propose a method for predicting the ranking position of a Web page. Assuming a set of successive past top-k rankings, we study the evolution of Web pages in terms...
Michalis Vazirgiannis, Dimitris Drosos, Pierre Sen...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 8 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei