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JIIS
2006
147views more  JIIS 2006»
14 years 9 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
KDD
2000
ACM
162views Data Mining» more  KDD 2000»
15 years 1 months ago
Data Mining from Functional Brain Images
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, H...
CLEIEJ
2008
115views more  CLEIEJ 2008»
14 years 10 months ago
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction
Data Mining is a process related to analysis, understanding and knowledge extraction from databases. In order to perform this process it is usually necessary to represent the data...
Daniel de Faveri Honorato, Everton Alvares Cherman...
ECCV
2008
Springer
15 years 11 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
DGO
2007
192views Education» more  DGO 2007»
14 years 11 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger