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» Analysis of sampling techniques for association rule mining
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KDD
2010
ACM
242views Data Mining» more  KDD 2010»
13 years 9 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
ICANN
2005
Springer
14 years 28 days ago
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
Vicente O. Baez-Monroy, Simon O'Keefe
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 1 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
ICSE
2004
IEEE-ACM
14 years 7 months ago
Mining Version Histories to Guide Software Changes
We apply data mining to version histories in order to guide programmers along related changes: "Programmers who changed these functions also changed...." Given a set of e...
Andreas Zeller, Peter Weißgerber, Stephan Di...
CIKM
2001
Springer
13 years 11 months ago
Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining
We explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transact...
Chang-Hung Lee, Cheng-Ru Lin, Ming-Syan Chen