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» Phenomenal Data Mining: From Data to Phenomena
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AUSAI
2007
Springer
16 years 1 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan
ALMOB
2006
102views more  ALMOB 2006»
15 years 6 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida
BMCBI
2007
176views more  BMCBI 2007»
15 years 7 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
167
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ISPW
2006
IEEE
16 years 25 days ago
Project Replayer - An Investigation Tool to Revisit Processes of Past Projects
In order to help knowledge acquirement and accumulation from past experiences, we propose a KFC (Knowledge Feedback Cycle) framework among engineers and researchers. Three tools (E...
Keita Goto, Noriko Hanakawa, Hajimu Iida
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 7 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar