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» Optimization in Data Mining
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KDD
2003
ACM
112views Data Mining» more  KDD 2003»
16 years 4 months ago
Screening and interpreting multi-item associations based on log-linear modeling
Association rules have received a lot of attention in the data
Daniel Barbará, Xintao Wu, Yong Ye
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 5 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
15 years 8 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 5 months ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 6 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy