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» Theoretical Frameworks for Data Mining
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ADC
2008
Springer
110views Database» more  ADC 2008»
14 years 2 months ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li
IKE
2007
13 years 9 months ago
A Set-Theoretic Data Model For Evolving Database Environments
The paper presents an integrated set-theoretic data model that offers a framework for defining a unified schema for any database environment. We utilise the concepts ”entity...
Emmanuel J. Yannakoudakis, Panagiotis Andrikopoulo...
DIS
2009
Springer
14 years 2 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
CASDMKM
2004
Springer
157views Data Mining» more  CASDMKM 2004»
14 years 1 months ago
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
Shouyang Wang, Lean Yu, Kin Keung Lai
DIS
2006
Springer
13 years 9 months ago
Interesting Patterns Extraction Using Prior Knowledge
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...
Laurent Brisson