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» An Iterative Method for Mining Frequent Temporal Patterns
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EMNLP
2004
13 years 10 months ago
VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations bet...
Timothy Chklovski, Patrick Pantel
NAACL
2007
13 years 10 months ago
Situated Models of Meaning for Sports Video Retrieval
Situated models of meaning ground words in the non-linguistic context, or situation, to which they refer. Applying such models to sports video retrieval requires learning appropri...
Michael Fleischman, Deb Roy
APBC
2006
181views Bioinformatics» more  APBC 2006»
13 years 10 months ago
Analyzing Inconsistency Toward Enhancing Integration of Biological Molecular Databases
: The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis...
Yi-Ping Phoebe Chen, Qingfeng Chen
GIS
2008
ACM
14 years 9 months ago
Density based co-location pattern discovery
Co-location pattern discovery is to find classes of spatial objects that are frequently located together. For example, if two categories of businesses often locate together, they ...
Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 2 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore