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» Combined Data Mining Approach for Intrusion Detection
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BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
15 years 1 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
TSE
2008
236views more  TSE 2008»
14 years 9 months ago
Provable Protection against Web Application Vulnerabilities Related to Session Data Dependencies
Web applications are widely adopted and their correct functioning is mission critical for many businesses. At the same time, Web applications tend to be error prone and implementat...
Lieven Desmet, Pierre Verbaeten, Wouter Joosen, Fr...
DAWAK
2001
Springer
15 years 2 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
CORR
2011
Springer
213views Education» more  CORR 2011»
14 years 4 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...