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» Establishing Logical Rules from Empirical Data
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ACMICEC
2005
ACM
151views ECommerce» more  ACMICEC 2005»
14 years 1 months ago
Product knowledge reasoning: a DL-based approach
In order to capture the full fledge semantic of complicated product data model, the expressive language ALCNHR+ K(D) is introduced. It cannot only be able to represent knowledge a...
Nizamuddin Channa, Shanping Li, Xiangjun Fu
SGAI
2007
Springer
14 years 1 months ago
Learning Sets of Sub-Models for Spatio-Temporal Prediction
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
Andrew Bennett, Derek R. Magee
INFSOF
2007
145views more  INFSOF 2007»
13 years 7 months ago
Metrics for data warehouse conceptual models understandability
Due to the principal role of Data warehouses (DW) in making strategy decisions, data warehouse quality is crucial for organizations. Therefore, we should use methods, models, tech...
Manuel A. Serrano, Juan Trujillo, Coral Calero, Ma...
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
13 years 11 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
LMCS
2007
132views more  LMCS 2007»
13 years 7 months ago
The Complexity of Model Checking Higher-Order Fixpoint Logic
Higher-Order Fixpoint Logic (HFL) is a hybrid of the simply typed λ-calculus and the modal µ-calculus. This makes it a highly expressive temporal logic that is capable of express...
Roland Axelsson, Martin Lange, Rafal Somla