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» Analyzing Harmonic Monitoring Data Using Data Mining
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ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
15 years 3 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 3 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
BPM
2004
Springer
167views Business» more  BPM 2004»
15 years 3 months ago
Mining Social Networks: Uncovering Interaction Patterns in Business Processes
Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called “ev...
Wil M. P. van der Aalst, Minseok Song
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 1 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
TCSV
2008
150views more  TCSV 2008»
14 years 9 months ago
Mining Recurring Events Through Forest Growing
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo