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» Application of Neural Networks in Financial Data Mining
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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
16 years 6 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 6 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
15 years 11 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 11 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...
ASAP
2007
IEEE
169views Hardware» more  ASAP 2007»
16 years 4 days ago
Reduced Delay BCD Adder
Financial and commercial applications use decimal data and spend most of their time in decimal arithmetic. Software implementation of decimal arithmetic is typically at least 100 ...
A. A. Bayrakci, A. Akkas