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» Practical Preference Relations for Large Data Sets
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WWW
2006
ACM
14 years 8 months ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
14 years 2 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 2 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ICC
2007
IEEE
124views Communications» more  ICC 2007»
14 years 1 months ago
On Achieving Maximum Network Lifetime Through Optimal Placement of Cluster-heads in Wireless Sensor Networks
—In a wireless sensor network, the network lifetime is an important issue when the size of the network is large. In order to make the network scalable, it is divided into a numbe...
Marudachalam Dhanaraj, C. Siva Ram Murthy
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
14 years 23 days ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...