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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 5 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
14 years 10 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
WWW
2004
ACM
16 years 16 days ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 12 days ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 5 months ago
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
Given a large collection of medical images of several conditions and treatments, how can we succinctly describe the characteristics of each setting? For example, given a large col...
Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mar...