pattern classification based approach
Classification of DDOS Attacks in VANETS based on Distributive Collaborative Framework
... appeared based on different features in vehicular network ...feature based approaches were introduced can handle relevant features relates to detection of DDOS attacks in cases of vehicular network ...
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Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances
... of pattern-based classification systems for relation instances, we ran an empirical error analysis of PaCE results, in which we observed that 13% of the dataset does not co-occur in the same ...
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A New Approach for Segmentation and Classification of Textures by using Square Primitive Pattern
... value pattern in a neighborhood surrounding the ...complex pattern of a neighborhood can be considered as one of the texture primitive feature ...texture classification based on square ...
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On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation
... difference hybrid pattern classification approach for text independent speaker identification.. system; in these approaches, we combined a hybrid decision tree, GMM and VQ model.[r] ...
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Pattern Taxonomy Term Based Model for Text Document Classification
... An approach to text classification using a graph based representation has been ...text classification can then be identified using frequent sub graph ...unweighted approach in each and ...
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Classification on News Web Pages by Link based Pattern Formation
... Page Classification the current scenario states two different methodology used for recommendation ...filtering approach recommends the news contents on the basis of user’s profile, these profile is formed ...
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Gene based Disease Prediction using Pattern Similarity based Classification
... In Classification, feature selection mechanism is ...best approach for classification that overcomes the absence of local minima, generalization and representation that required few ...binary ...
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Age Classification Based On Rotational Invariant Local Binary Pattern
... benchmark approach for keeping separated Haralick features, as a case, (dapper second moment, separate, association, vacillation, inverse appraisal minute, general standard, general change, aggregate entropy, ...
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Mapping Software Metrics to Module Complexity: A Pattern Classification Approach
... It is important to note at this point that the choices for metrics and class labels described below were made for the sake of expediency; specifically, these were the pa- rameters that were supplied in the publicly ...
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Review of EEG-based pattern classification frameworks for dyslexia
... the classification was first attempted using a single classifier for all features, it was not success- ...the approach follows was to use ensemble SVMs. The classification results were compared for ...
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Improved High Growth-Rate Emerging Pattern Based Classification
... data. Classification is most frequent problem of data mining. Classification is task of predicting the class of unclassified ...data. Classification is a two phase process: training phase and testing ...
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Implementation of Prototype Based Credal Classification approach For Enhanced Classification of Incomplete Pattern
... Abstract— Most of the time values are missing in database, which should be dealt with. Missing qualities are happened in light of the fact that, the information section individual did not know the correct esteem or ...
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Simultaneous Control of Artificial Limbs Based On Hybrid Extreme Learning Machine Algorithm
... include classification approach based on the procedure of artificial neural network especially we apply hybrid extreme leaning machine (HELM) for pattern recognition to identify the motion of ...
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An Ensemble Based Classification Approach for Medical Images
... in pattern recognition and machine learning algorithm. Classification is the process of grouping objects into categories according to their likeness or ...classes. Classification can be applied to ...
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Distance-based features in pattern classification
... an approach called centroid-based and nearest neighbor ...This approach uses cluster cen- ters and their nearest neighbors to yield a one-dimensional feature and can effectively improve the ...
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A Question-Based Design Pattern Advisement Approach
... representations based on graphical notations such as UML, and (3) various formal representations which also include notations using semantic web ...representations based on a canonical form do not enable ...
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Sequence Classification in Data Mining With Pattern Based Item Sets
... As per Chen, M. S., Han, J., and Yu, P. S. (1996).Mining data and information from substantial databases has been perceived by numerous scientists as a key research theme in database frameworks and machine learning, and ...
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Understanding Student Language: An Unsupervised Dialogue Act Classification Approach
... hybrid approach utilized for query-likelihood clustering replaces function words such as determiners (“the”, “a”), conjunctions (“and”, “but”), and prepositions (“in”, “after”) with their POS ...
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A Pattern-Based Approach to Recognizing Time Expressions
... or based on heuristic rules, which leads to the difficulty in understanding the temporal infor- ...a pattern-based approach, called PTime, which automatically generates and selects patterns ...
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Classification Algorithm based on MS Apriori for Rare Classes
... Our work mainly focuses on rare class classification. Since most of the classifier gives poor performance in the case. Realizing the importance of rare classes in many applications we proposed an algorithm CBMR ...
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