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» Logical Languages for Data Mining
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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 2 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 3 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
COLING
2002
13 years 8 months ago
Answering it with Charts: Dialogue in Natural Language and Charts
A methodology is proposed for taking queries and requests expressed in natural language as input and answering them in charts through organizing that interaction into felicitous d...
Tsuneaki Kato, Mitsunori Matsushita, Eisaku Maeda
ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
14 years 1 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz
ECOOP
2008
Springer
13 years 10 months ago
Regional Logic for Local Reasoning about Global Invariants
Shared mutable objects pose grave challenges in reasoning, especially for data abstraction and modularity. This paper presents a novel logic for erroravoiding partial correctness o...
Anindya Banerjee, David A. Naumann, Stan Rosenberg