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143
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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 8 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
JMLR
2010
95views more  JMLR 2010»
14 years 10 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
259
Voted
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
16 years 5 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
SIGMOD
2001
ACM
136views Database» more  SIGMOD 2001»
16 years 3 months ago
Selectivity Estimation using Probabilistic Models
Estimating the result size of complex queries that involve selection on multiple attributes and the join of several relations is a difficult but fundamental task in database query...
Lise Getoor, Benjamin Taskar, Daphne Koller
ANLP
2000
118views more  ANLP 2000»
15 years 4 months ago
A Novel Use of Statistical Parsing to Extract Information from Text
Since 1995, a few statistical parsing algorithms have demonstrated a breakthrough in parsing accuracy, as measured against the UPenn TREEBANK as a gold standard. In this paper we ...
Scott Miller, Heidi Fox, Lance A. Ramshaw, Ralph M...