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» A Partial-Repeatability Approach to Data Mining
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142
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SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
15 years 1 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...
171
Voted
SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
15 years 1 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi
155
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 6 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...
EDBT
2008
ACM
180views Database» more  EDBT 2008»
16 years 3 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
147
Voted
PREMI
2005
Springer
15 years 9 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...