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» Theoretical Frameworks for Data Mining
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SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 11 months ago
On Evaluation of Outlier Rankings and Outlier Scores
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
Erich Schubert, Remigius Wojdanowski, Arthur Zimek...
WWW
2007
ACM
14 years 9 months ago
Summarizing email conversations with clue words
Accessing an ever increasing number of emails, possibly on small mobile devices, has become a major problem for many users. Email summarization is a promising way to solve this pr...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
KDD
2009
ACM
141views Data Mining» more  KDD 2009»
14 years 9 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 9 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
KDD
2002
ACM
110views Data Mining» more  KDD 2002»
14 years 9 months ago
A model for discovering customer value for E-content
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...