[PDF] Top 20 EFFECTIVE CLASSIFICATION BASED ON CORRELATION ANALYSIS
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EFFECTIVE CLASSIFICATION BASED ON CORRELATION ANALYSIS
... of effective algorithms for pattern generation and proposes an original enhancement to this methodology based on statistical considerations on the ... See full document
7
Gradient-based subspace phase correlation for fast and effective image alignment
... the analysis of multi-dimensional visual data in the digital domain, where at least two images captured under different circumstances, such as from different sensors or at different times, need to be aligned for ... See full document
20
PERFORMANCE VALIDATION OF PRIOR QUANTIZATION TECHNIQUES IN OUTLIERS CLASSIFICATION USING WDBC DATASET
... the algorithm with respect to the density of the starting object and inefficient identification of the adjacent clusters of various densities. The computational complexity was also too high an algorithm called as Anyout ... See full document
9
Correlation-based linear discriminant classification for gene expression data.
... discriminant analysis (FLDA) deals with multivariate (multi-gene) correlations when the sample size exceeds the ...not correlation-based), ...discriminant analysis (DLDA), which assumes that ... See full document
9
LC an effective classification based association rule mining algorithm
... of classification and association rule ...both classification and association rule ...and classification rule mining, known as associative classification will be presented and lastly in the ... See full document
181
PERFORMANCE ANALYSIS OF WLAN UNDER VARIABLE NUMBER OF NODES USING THE ADJUSTABLE PARAMETERS IN EDCA
... Anomaly based intrusion detection technique is one of the building blocks of such a ...apply correlation coefficient based learning approach for detecting anomalies in wireless Local area ...using ... See full document
8
Correlation Analysis of Effective Factors in Attracting Customers to a New Product of a Brand
... Data for this study were collected by using the qualitative research method. The information was gathered from the literature, articles and by interviewing. The interviews were based on the questionnaire. The ... See full document
6
Stock Market Prediction Using Heat of Related Keywords on Micro Blog
... method based on the heat of related keywords on Micro Blog is proposed, as Micro Blog is an ideal source for capturing public opinions towards certain ...through correlation analysis, Granger ... See full document
5
Classification of Crystallographic Data Using Canonical Correlation Analysis
... is based on canonical cor- relation analysis, a statistical method which makes use of the spectral-spatial information characterizing X-ray diffraction data measured from bone samples with implanted ... See full document
8
Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers
... microarray classification problems are considered a chal- lenge task since the datasets contain few number of samples with high number of genes ...solving classification problems. In this paper, the ... See full document
12
Machine Learning Based Effective Classification of Distributed Denial of Service Attacks
... decision tree gives the detection accuracy of 99.3%. Information Gain, Gain ratio and Chi Square methods have been used for feature selection.Researchers have first defined a pre-processing module which removes the ... See full document
5
Effective Classification Techniques for Melanoma Classification on Dermoscopy Images
... image analysis is greatly ...filter based technique presented in ...and classification depends on the accuracy of the segmentation ...technique based on k-means model was developed, and it was ... See full document
6
A case retrieval algorithm based on correlation analysis
... retrieval based on correlation analysis algorithm, using correlation analysis algorithms for classifying case of case-base and designing specific classification and retrieval ... See full document
8
Image Classification Based on Effective Probabilistic Latent Semantic Analysis Model
... The first column in the generated topic model corresponds to the query image. The second, third and fourth columns of the topic model are correspond to the reference images igneous, metamorphic and sedimentary ... See full document
7
An Effective Supervised Streamed Text Classification Approach for Mining Positive and Negative Examples
... Text mining is the discovery of interesting knowledge in text documents. It is a challenging issue to find accurate knowledge (or features) in text documents to help users to find what they want. The problem of text ... See full document
6
ANALYSIS OF EFFECTIVENESS OF INTERVENTION AS A STRATEGY IMPLEMENTATION TACTIC IN PUBLIC UNIVERSITIES (NAKURU COUNTY- KENYA)
... Strategy implementation has increasingly been the focus of many numerous studies, particularly because the process from strategy formulation to strategy implementation is not effective and therefore not adequate ... See full document
10
Liver Classification Using Modified Rotation Forest
... Sung-Bae Cho [21] presented a method to search optimal ensemble of diverse feature-classifier pairs using speciated FA. This paper proposes sophisticated ensemble of such features and classifiers to obtain high ... See full document
8
Effective Analysis and Predictive Model of Stroke Disease using Classification Methods
... The proposed model uses predictive classification algorithms like Decision tree, Naïve bayes and neural networks for predicting the presence of stroke disease and Principle Component Ana[r] ... See full document
6
Cost Effective Ultrasonic Sensor Based Instrument for Vehicle Detection and Classification
... There are various different technologies available for detecting the vehicles such as Inductive Loop, Magneto- meter, Infrared Sensors, Image Processing, Ultrasonic, Acoustic etc. (Mimbela & Klein, 2000). For ITS ... See full document
6
Distance Based Algorithm for Effective Outliers Classification and Prediction of WDBC Dataset
... introduced based on the new technique developed for simultaneous evaluation of mean, variance and ...density based and partitioning clustering method was presented for data streaming ... See full document
6
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