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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 4 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
JAMIA
2010
131views more  JAMIA 2010»
15 years 1 months ago
The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data
Mayo Clinic's Enterprise Data Trust is a collection of data from patient care, education, research, and administrative transactional systems, organized to support information...
Christopher G. Chute, Scott A. Beck, Thomas B. Fis...
ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
16 years 28 days ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...
SIGMOD
2004
ACM
128views Database» more  SIGMOD 2004»
16 years 6 months ago
Data Stream Management for Historical XML Data
We are presenting a framework for continuous querying of time-varying streamed XML data. A continuous stream in our framework consists of a finite XML document followed by a conti...
Sujoe Bose, Leonidas Fegaras
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
13 years 9 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang