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» Efficient Discovery of Confounders in Large Data Sets
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KDD
1995
ACM
67views Data Mining» more  KDD 1995»
15 years 9 months ago
A Perspective on Databases and Data Mining
We discuss the use of database met hods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data stru...
Marcel Holsheimer, Martin L. Kersten, Heikki Manni...
WWW
2007
ACM
16 years 6 months ago
Towards effective browsing of large scale social annotations
This paper is concerned with the problem of browsing social annotations. Today, a lot of services (e.g., Del.icio.us, Filckr) have been provided for helping users to manage and sh...
Rui Li, Shenghua Bao, Yong Yu, Ben Fei, Zhong Su
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
RR
2007
Springer
16 years 9 days ago
Efficiently Querying Relational Databases Using OWL and SWRL
For the foreseeable future, most data will continue to be stored in relational databases. To work with these data in ontology-based applications, tools and techniques that bridge t...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...
EMNLP
2006
15 years 7 months ago
Random Indexing using Statistical Weight Functions
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
James Gorman, James R. Curran