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» Text Mining for Medical Documents Using a Hidden Markov Mode...
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DMIN
2006
146views Data Mining» more  DMIN 2006»
13 years 6 months ago
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
ISI
2006
Springer
13 years 4 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
IDA
2010
Springer
13 years 3 months ago
Selecting the Links in BisoNets Generated from Document Collections
According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a ...
Marc Segond, Christian Borgelt
SAC
2005
ACM
13 years 10 months ago
Discovery and regeneration of hidden emails
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou, E...
ICDAR
2005
IEEE
13 years 10 months ago
IAM-OnDB - an On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard
In this paper we present IAM-OnDB - a new large online handwritten sentences database. It is publicly available and consists of text acquired via an electronic interface from a wh...
Marcus Liwicki, Horst Bunke