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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 1 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
CIKM
2008
Springer
15 years 1 months ago
Non-local evidence for expert finding
The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an ...
Krisztian Balog, Maarten de Rijke
BMCBI
2004
146views more  BMCBI 2004»
14 years 11 months ago
The InDeVal insertion/deletion evaluation tool: a program for finding target regions in DNA sequences and for aiding in sequence
Background: The program InDeVal was originally developed to help researchers find known regions of insertion/deletion activity (with the exception of isolated single-base indels) ...
Sierra D. Stoneberg Holt, Jason A. Holt
SIGMOD
2006
ACM
110views Database» more  SIGMOD 2006»
15 years 12 months ago
Finding k-dominant skylines in high dimensional space
Given a d-dimensional data set, a point p dominates another point q if it is better than or equal to q in all dimensions and better than q in at least one dimension. A point is a ...
Chee Yong Chan, H. V. Jagadish, Kian-Lee Tan, Anth...
BMCBI
2004
124views more  BMCBI 2004»
14 years 11 months ago
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...