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AIIA
2005
Springer
15 years 10 months ago
Mining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
VLDB
2005
ACM
93views Database» more  VLDB 2005»
15 years 10 months ago
The TEXTURE Benchmark: Measuring Performance of Text Queries on a Relational DBMS
We introduce a benchmark called TEXTURE (TEXT Under RElations) to measure the relative strengths and weaknesses of combining text processing with a relational workload in an RDBMS...
Vuk Ercegovac, David J. DeWitt, Raghu Ramakrishnan
ER
2003
Springer
98views Database» more  ER 2003»
15 years 10 months ago
Extracting Relations from XML Documents
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
Eugene Agichtein, C. T. Howard Ho, Vanja Josifovsk...
ICDE
2009
IEEE
144views Database» more  ICDE 2009»
16 years 6 months ago
Reachability Indexes for Relational Keyword Search
Due to its considerable ease of use, relational keyword search (R-KWS) has become increasingly popular. Its simplicity, however, comes at the cost of intensive query processing. Sp...
Alexander Markowetz, Yin Yang, Dimitris Papadias
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 5 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld