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MOBIHOC
2008
ACM
14 years 8 months ago
Finding popular categories for RFID tags
As RFID tags are increasingly attached to everyday items, it quickly becomes impractical to collect data from every tag in order to extract useful information. In this paper, we c...
Bo Sheng, Chiu Chiang Tan, Qun Li, Weizhen Mao
AI
2009
Springer
14 years 3 months ago
An Empirical Study of Category Skew on Feature Selection for Text Categorization
In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20...
Mondelle Simeon, Robert J. Hilderman
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 9 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
TREC
2000
13 years 10 months ago
Question Answering Considering Semantic Categories and Co-Occurrence Density
In this paper, we present a Question Answering system called KUQA (Korea University Question Answering system) developed by using semantic categories and co-occurrence density. Se...
Soo-Min Kim, Dae-Ho Baek, Sang-Beom Kim, Hae-Chang...
DOCENG
2006
ACM
14 years 3 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...