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» Efficient Learning of Semi-structured Data from Queries
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WWW
2002
ACM
16 years 5 months ago
OCTOPUS: aggressive search of multi-modality data using multifaceted knowledge base
An important trend in Web information processing is the support of multimedia retrieval. However, the most prevailing paradigm for multimedia retrieval, content-based retrieval (C...
Jun Yang 0003, Qing Li, Yueting Zhuang
ICML
2009
IEEE
16 years 5 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
AMW
2010
15 years 5 months ago
Logic Programs for Repairing Inconsistent Dimensions in Data Warehouses
A Data Warehouse (DW) is a data repository that integrates data from multiple sources and organizes the data according to a set of data structures called dimensions. Each dimension...
Loreto Bravo, Mónica Caniupán Marile...
KDID
2004
481views Database» more  KDID 2004»
15 years 5 months ago
Models and Indices for Integrating Unstructured Data with a Relational Database
Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
Sunita Sarawagi
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...