Search Results - (( data detection method algorithm ) OR ( data normalization _ algorithm ))
Search alternatives:
- data normalization »
- method algorithm »
- data detection »
-
1
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
Get full text
Get full text
Thesis -
2
A study on advanced statistical analysis for network anomaly detection
Published 2005“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
Get full text
Monograph -
3
Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…Hence, it is critical for an anomaly detection algorithm to detect data anomalies patterns. …”
Get full text
Get full text
Thesis -
4
Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…Existing clustering algorithms for outlier detection encounter significant challenges due to insufficient data pre-processing methods and the absence of a suitable data summarization framework for effective data stream clustering. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
5
Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…Traditional anomaly detection algorithms require a set of purely normal data from which they train their model. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Anomaly behavior detection using flexible packet filtering and support vector machine algorithms
Published 2016“…Both methods used DARPA 98- 99 dataset and Lincoln Labs data. …”
Get full text
Get full text
Get full text
Thesis -
7
Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…This shows that the Negative Selection Algorithms are equipped with the capabilities of detecting changes in data, thus appropriate for anomaly detection. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
A clustering-based method for outlier detection under concept drift
Published 2024“…However, challenges may arise from assuming the majority of data comprises normal instances, particularly during sudden spikes in attack data, potentially diminishing algorithm effectiveness. …”
Get full text
Get full text
Get full text
Article -
9
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
Get full text
Get full text
Get full text
Thesis -
10
Unsupervised Anomaly Detection with Unlabeled Data Using Clustering
Published 2005“…Traditional anomaly detection algorithms require a set of purely normal data from which they train their model. …”
Get full text
Get full text
Conference or Workshop Item -
11
Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…This creates the jamming detection and classification parameters. The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
Get full text
Get full text
Thesis -
12
Fault diagnostic algorithm for precut fractionation column
Published 2004“…Hazard and Operability Study (HAZOP) is used to support the diagnosis task. The algorithm has been successful in detecting the deviations of each variable by testing the data set. …”
Get full text
Get full text
Conference or Workshop Item -
13
-
14
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
Get full text
Get full text
Thesis -
15
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…This research addressed severe contamination or occlusion presence in a face recognition based on image data. A modified version of the existing least trimmed square, LTS method with genetic algorithm (LTS with GAs) was proposed to cater the problem of noise or occlusion and improve the performance of face recognition. …”
Get full text
Get full text
Thesis -
16
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…The detectors: zero forcing block linear equalizer and minimum mean square error block linear equalizer algorithms are considered in this paper to recover the data. …”
Get full text
Get full text
Article -
17
An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
Published 2020“…In the training phase, around 22% of the 110,057 beats data extracted from 48 records were utilized. Using only these 22% labeled training data, our proposed algorithm was able to classify the remaining 78% of the database into 16 classes. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
Feature selection in intrusion detection, state of the art: A review
Published 2016“…These input features give information to the learning algorithms which used in intrusion detection system in the form of the detection method. …”
Get full text
Get full text
Article -
19
Automated and high accuracy out-of-hospital heart diseases early detection system
Published 2017“…The data is pre-processed for amplitude normalization and frequency resampling. …”
Get full text
Get full text
Get full text
Article -
20
Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…The detectors: zero forcing block linear equalizer and minimum mean square error block linear equalizer algorithms are considered in this paper to recover the data. …”
Get full text
Get full text
Article