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» Evaluation of Sampling for Data Mining of Association Rules
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KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 29 days ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
15 years 9 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
110
Voted
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
15 years 6 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
ICDM
2008
IEEE
148views Data Mining» more  ICDM 2008»
15 years 7 months ago
Formal Models for Expert Finding on DBLP Bibliography Data
Finding relevant experts in a specific field is often crucial for consulting, both in industry and in academia. The aim of this paper is to address the expert-finding task in a...
Hongbo Deng, Irwin King, Michael R. Lyu
133
Voted
BMCBI
2006
151views more  BMCBI 2006»
15 years 18 days ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...