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» Large Scale Data Mining: Challenges and Responses
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BMCBI
2010
154views more  BMCBI 2010»
15 years 3 months ago
Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation
Background: External stimulations of cells by hormones, cytokines or growth factors activate signal transduction pathways that subsequently induce a re-arrangement of cellular gen...
Andreas Kowarsch, Florian Blöchl, Sebastian B...
ICDM
2008
IEEE
222views Data Mining» more  ICDM 2008»
16 years 15 days ago
GRAPHITE: A Visual Query System for Large Graphs
We present Graphite, a system that allows the user to visually construct a query pattern, finds both its exact and approximate matching subgraphs in large attributed graphs, and ...
Duen Horng Chau, Christos Faloutsos, Hanghang Tong...
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 7 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
DIS
2009
Springer
16 years 19 days ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 8 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...