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[PDF] Top 20 A New Class Based Associative Classification Algorithm

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A New Class Based Associative Classification Algorithm

A New Class Based Associative Classification Algorithm

... as class label, support and ...a new non-redundant rule is inserted in the OR-Tree, a new node pointing to this rule will be inserted into a suitable place in the ordered ... See full document

5

Dissimilar Rule Mining and Ranking Technique for Associative Classification

Dissimilar Rule Mining and Ranking Technique for Associative Classification

... proposed algorithm for reducing redundant rules by clustering association rules into many groups then cut redundant rules by interestingness ...Mining) algorithm to reduce the number of association ...used ... See full document

6

SVM Based Decision Support System for Heart Disease Classification with Integer-Coded Genetic Algorithm to Select Critical Features

SVM Based Decision Support System for Heart Disease Classification with Integer-Coded Genetic Algorithm to Select Critical Features

... disease classification is described. Integer coded Genetic Algorithm is used to find the optimal feature subset for maximizing SVM’s classification accuracy with a reduced number of ...SSVM ... See full document

5

DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM

DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM

... but classification of complex urban area based on just spectral information has some limitations: same objects with different spectral characteristic don’t classify in a class ...one class) ... See full document

6

Research on manufacturing text classification based on improved genetic algorithm

Research on manufacturing text classification based on improved genetic algorithm

... each class, which results in low computation speed for classification and weak suitability for large-scale computing, the initial features have to be ...genetic algorithm is an adaptive global ... See full document

8

Survey of Classification Techniques in Data Mining

Survey of Classification Techniques in Data Mining

... neighbor algorithm, we will refer to some more recent ...is based on the principle that the instances within a dataset will generally exist in close proximity to other instances that have similar properties ... See full document

5

A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.

A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.

... learn new concepts in changing ...novel classification algorithm based on incremental semi-supervised support vector machine (SVM) is ...proposed algorithm, the computation complexity ... See full document

19

An Ensemble Method based on Particle of Swarm for the Reduction of Noise, Outlier and Core Point

An Ensemble Method based on Particle of Swarm for the Reduction of Noise, Outlier and Core Point

... final classification decision is ...create new training sets called “bags”. A number of other randomization-based ensemble techniques boosting, random subspaces, random forests, and randomized ...an ... See full document

5

A Discernibility Degree and Rough Set Based Classification Rule Generation Algorithm (RGD)

A Discernibility Degree and Rough Set Based Classification Rule Generation Algorithm (RGD)

... Table 2 describes the experimental results in terms of percent correct. The first row lists the 15 algorithms, and the first column 28 data sets. The annotation v or * indicates that a specific result is statistically ... See full document

6

Semantic Web Improved with IDF Feature of the TFIDF Algorithm

Semantic Web Improved with IDF Feature of the TFIDF Algorithm

... a new perspective on how to improve the quality of information ...text classification are based on the term frequency (tf) and inverse document frequency (idf) for representing importance of terms ... See full document

7

Defining and evaluating classification algorithm for high-dimensional data based on latent topics.

Defining and evaluating classification algorithm for high-dimensional data based on latent topics.

... With the rise of the Web 2.0, social media such as Facebook and Twitter are not only popular, but are becoming a new way of life. At the beginning of 2012, Facebook has more than 800 million registered users ... See full document

9

A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY

A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY

... per class. Fig. 6 shows the classification results for the overall ...the algorithm tries to find the best parameters for all classes, the classes of interest containing a large number of pixels are ... See full document

6

Fruit recognition and classification based on SVM method for production prediction of peaches

Fruit recognition and classification based on SVM method for production prediction of peaches

... method based on region growing and color feature is ...a new classification algorithm based on support vector machine (SVM) for apple recognition is introduced to improve recognition ... See full document

8

A new method for classification of Brachiopods based on the radon transformation

A new method for classification of Brachiopods based on the radon transformation

... The source and sensor are rotated about the center of the object. For each angle  the density of the pixel the ray from the source passes through is accumulated at the sensor. This is repeated for a given set of angels, ... See full document

6

 Epileptic Seizure Detection based on Wavelet Transform Statistics Map and EMD Method for Hilbert-Huang Spectral Analyzing in Gamma Frequency Band of EEG Signals

Epileptic Seizure Detection based on Wavelet Transform Statistics Map and EMD Method for Hilbert-Huang Spectral Analyzing in Gamma Frequency Band of EEG Signals

... it based on statistical momentums and Negentropy values are ...EMD algorithm and sifting procedure for analyzing the data by Intrinsic Mode Function (IMF) and computing the residues of brain signal using ... See full document

14

Sequential Pattern Mining Using Formal Language Tools

Sequential Pattern Mining Using Formal Language Tools

... a new algorithm SpiCFLComplete which uses context free grammar as a constraint and develops push down automata instead of deterministic finite automata for accepting such types of ...His algorithm ... See full document

10

Centralized approach for multi-node localization and identification

Centralized approach for multi-node localization and identification

... our algorithm at middle of the frame bottom edge has highlighted the important role of this position on the nodes visibility ...matching algorithm, our algorithm shows an increase in the visibility ... See full document

10

Ant-Based Phylogenetic Reconstruction (ABPR): A new distance algorithm for phylogenetic estimation based on ant colony optimization

Ant-Based Phylogenetic Reconstruction (ABPR): A new distance algorithm for phylogenetic estimation based on ant colony optimization

... a new distance algorithm for phylogenetic estimation based on Ant Colony Optimization (ACO), named Ant-Based Phylogenetic Reconstruction ...iteratively based on evolutionary distance ... See full document

8

J. Braz. Chem. Soc.  vol.17 número4

J. Braz. Chem. Soc. vol.17 número4

... for classification by ...One classification model was made for each ...the classification model of PYR, samples 1, 3, 5-6, 8, 10-14, 16-19, 21-32, 42-44, were considered class I (with PYR), ... See full document

8

A new intelligent algorithm to create a profile for user based on web interactions

A new intelligent algorithm to create a profile for user based on web interactions

... a new method is introduced by recording user’s settings active and user’s similarity measurement with neighboring ...profile based on created ...is based on user’s navigation patterns and is able to ... See full document

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