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» On the Associative Nijenhuis Relation
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CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
15 years 4 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
EMNLP
2004
14 years 11 months ago
VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations bet...
Timothy Chklovski, Patrick Pantel
DBPL
2001
Springer
118views Database» more  DBPL 2001»
15 years 2 months ago
On Monotone Data Mining Languages
Abstract. We present a simple Data Mining Logic (DML) that can express common data mining tasks, like “Find Boolean association rules” or “Find inclusion dependencies.” At ...
Toon Calders, Jef Wijsen
BMCBI
2010
135views more  BMCBI 2010»
14 years 10 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...