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CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 9 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
AI
2001
Springer
15 years 8 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
AAAI
2007
15 years 6 months ago
Clustering with Local and Global Regularization
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Fei Wang, Changshui Zhang, Tao Li
CORR
2012
Springer
209views Education» more  CORR 2012»
13 years 11 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
BMCBI
2008
112views more  BMCBI 2008»
15 years 4 months ago
A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regul
Background: Innumerable biological investigations require comparing collections of molecules, cells or organisms to one another with respect to one or more of their properties. Al...
Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Mic...