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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 11 days ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
AIPS
2003
15 years 1 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
IAT
2003
IEEE
15 years 5 months ago
Person Name Identification in Chinese Documents Using Finite State Automata
This research is about automatic identification and extraction of person names in Chinese text documents. Solutions to this problem have immediate and extensive applications in ma...
Bing Shen, Zhongfei (Mark) Zhang, Chunfa Yuan
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 9 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 7 days ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng