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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 4 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
ATAL
2005
Springer
14 years 3 months ago
Implicit: an agent-based recommendation system for web search
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
14 years 4 months ago
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases
It has been well recognized that data mining is an interactive and iterative process. In order to support this process, one of the long-term goals of data mining research has been...
Ruoming Jin, Gagan Agrawal
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
14 years 10 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
14 years 10 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel