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DEXAW
2010
IEEE
181views Database» more  DEXAW 2010»
13 years 8 months ago
Bridging the Gap between Heterogeneous and Semantically Diverse Content of Different Disciplines
The Web has been flooded with highly heterogeneous data sources that freely offer their data to the public. Careful design and compliance to standards is a way to cope with the he...
Siarhei Bykau, Nadzeya Kiyavitskaya, Chrisa Tsinar...
IJKDB
2010
170views more  IJKDB 2010»
13 years 4 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
SAC
2009
ACM
14 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
AAAI
2007
13 years 9 months ago
Joint Inference in Information Extraction
The goal of information extraction is to extract database records from text or semi-structured sources. Traditionally, information extraction proceeds by first segmenting each ca...
Hoifung Poon, Pedro Domingos
COMMA
2010
13 years 1 months ago
Qualitative Evidence Aggregation using Argumentation
Evidence-based decision making is becoming increasingly important in many diverse domains, including healthcare, environmental management, and government. This has raised the need ...
Anthony Hunter, Matthew Williams