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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 5 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 9 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
ML
2006
ACM
148views Machine Learning» more  ML 2006»
15 years 5 months ago
Melodic analysis with segment classes
This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequenceofno...
Darrell Conklin
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 5 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
138
Voted
FUIN
2008
136views more  FUIN 2008»
15 years 5 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...