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KDD
2012
ACM
188views Data Mining» more  KDD 2012»
13 years 9 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 11 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
15 years 5 months ago
AnswerArt - Contextualized Question Answering
The focus of this paper is a question answering system, where the answers are retrieved from a collection of textual documents. The system also includes automatic document summariz...
Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mlade...
SAC
2005
ACM
16 years 9 days ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
CORR
2010
Springer
208views Education» more  CORR 2010»
15 years 6 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani