Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

الموضوعات: احصل على النص الكامل

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"

Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems حسب Amal Hichri (21383672)

"…This is addressed such that the genetic algorithm (GA) technique is used for selecting the best features and the artificial neural network (ANN) classifier is applied for fault diagnosis. …"

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

الموضوعات:

Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

الموضوعات:

An enhanced quorum selection algorithm حسب Haraty, Ramzi A.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An Improved Quorum Selection Algorithm حسب Haraty, Ramzi A.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Unsupervised outlier detection in multidimensional data حسب Atiq ur Rehman (14153391)

"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. …"

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …"

An improved quorum selection algorithm (IQSA). (c2007) حسب Younes, Samer

احصل على النص الكامل
احصل على النص الكامل

The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

"…There is an opportunity to apply data mining to arrive at a model to predict student selection of a major. …"
احصل على النص الكامل

A genetic algorithm for testable data path synthesis حسب Harmanani, H.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…Next, as a feature selection tool, an improved extension of Artificial Butterfly Optimization (ABO) algorithm is used in order to extract the significant features from data and improve the diagnosis results of multiscale interval SVM. …"

Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

احصل على النص الكامل

Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

"…The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …"
احصل على النص الكامل

Multi-marker-LD based genetic algorithm for tag SNP selection حسب Mansour, Nashat

"…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

"…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…"

Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
احصل على النص الكامل

Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

"…Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor yielding a reduction of the execution time to 2 msec…"
احصل على النص الكامل
احصل على النص الكامل