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» Using minimum description length for process mining
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CEC
2008
IEEE
15 years 4 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
ADMA
2010
Springer
314views Data Mining» more  ADMA 2010»
14 years 8 months ago
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering
Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number o...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
DAC
2004
ACM
15 years 11 months ago
Automated fixed-point data-type optimization tool for signal processing and communication systems
A tool that automates the floating-point to fixed-point conversion (FFC) process for digital signal processing systems is described. The tool automatically optimizes fixed-point d...
Changchun Shi, Robert W. Brodersen
ISBI
2002
IEEE
15 years 10 months ago
A new high-resolution processing method for the deconvolution of optical coherence tomography signals
We show the feasibility and the potential of a new signal processing algorithm for the high-resolution deconvolution of OCT signals. Our technique relies on the description of the...
Thierry Blu, Herbert Bay, Michael Unser
169
Voted
ICDE
2004
IEEE
116views Database» more  ICDE 2004»
15 years 11 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen