Sciweavers

617 search results - page 56 / 124
» Patterns for decoupling data structures and algorithms
Sort
View
GRC
2008
IEEE
13 years 8 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
14 years 9 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 17 days ago
Association Analysis with One Scan of Databases
Mining frequent patterns with an FP-tree avoids costly candidate generation and repeatedly occurrence frequency checking against the support threshold. It therefore achieves bette...
Hao Huang, Xindong Wu, Richard Relue
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 8 months ago
Topics in 0--1 data
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Ella Bingham, Heikki Mannila, Jouni K. Seppän...
PRL
2006
139views more  PRL 2006»
13 years 7 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...