ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Recently, the web has rapidly emerged as a great source of financial information ranging from news articles to personal opinions. Data mining and analysis of such financial info...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Experimental methodology for evaluating classification algorithms in relational (i.e., networked) data is complicated by dependencies between related data instances. We survey the...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Most algorithms for mining interesting spatial colocations integrate the co-location / clique generation task with the interesting pattern mining task, and are usually based on th...