tree-based classification approach
Performance Analysis on Uncertain Data using Decision Tree
... develop classification models for uncertain ...decision tree based classification methods for uncertain data using Averaging and Distribution ...decision tree based ...
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Multilabel Classification of Membrane Protein in Human by Decision Tree (DT) Approach
... Multi-label classification methods are important in various fields,such as protein type,protein function, semantic scene classification and music categorization ...multi-label classification, each ...
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Modified Tree Classification in Data Mining
... Decision tree induction, Bayesian classification, rule-based classification, classification by backpropagation, support vector machines are the example of the eager ...contrasting ...
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Classification Model Using Optimization Technique: A Review
... fields. Classification is essential and important technique in data ...mining. Classification technique contains different types of ...Decision Tree is most useful ruled based classifier, the ...
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Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... mining, classification using decision tree induction, clustering, prediction using a decision tree approach and building an application based on the knowledge gained for predicting the ...
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An Approach Towards E-Learning Using SVM Classification Technique and Ranking Technique in Microblog Supported Classroom: A Survey
... use based on a single feature at each internal ...decision tree classifies an instance as belonging to a specific ...decision tree constitutes a hierarchy of tests, an unidentified feature value ...
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Palm tree image classification : a convolutional and machine learning approach
... analysis based on statistics were complemented with ob- ject classification, this led to the creation of new concepts, relationships between the data and methods of ...image classification problems ...
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Data Mining based on Hashing Technique
... Liu’s approach as follows: (1) simply selection a rule with a maximal user-defined measure may affect the classification accuracy, (2) the efficiency problem of storing, retrieve, pruning, and sorting a ...
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A SET-BASED APPROACH TO PACKET CLASSIFICATION
... The tests were instrumented by using netperf v2.2p14. The Netperf client was run on the system running the firewall with varying packet sizes (128, 512, and 1518 bytes). The Netperf client was in- structed to contact the ...
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Data Mining Criteria for Tree-Based Regression and Classification
... now approach two-class classification the same way as regression by attempting to identify pure or extreme buckets as quickly as ...are based on variances or means, the criteria for ...
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A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... thresholds, based on the probability density functions of the ...initial classification is performed for each segment of the audio signal, using a three-stage sieve-like approach, applying both ...
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LOAD CURRENT CONTROL BASED ON LUENBERGER OBSERVER FOR THREE PHASE POWER CONVERTER SVPWM
... improved approach, based on instantaneous features and binary tree classifier has been proposed for the classification of Medium Frequency (IF) digital signals at low signal-to-noise ratio ...
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A Novel Approach for the Classification of Social Media Data using Decision Tree
... twitter API the tweets are collected based on major engineering problems and different categories can be created. The seven prominent themes are: heavy study load, lack of social engagement, negative emotion, ...
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A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data
... In the forestry and ecology domains, a type of data that is widely used to predict forest structural characteristics is light detection and ranging (LiDAR) data. In many countries, these data are frequently available in ...
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A New Approach to Classify Tuples More Accurately
... Classification is a classic data mining technique based on machine ...Basically classification is used to classify each item in a set of data into one of predefined set of classes or ...groups. ...
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Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers
... different classification strategies and algo- ...different classification workflows were evaluated, covering pixel- and object-based analyses, unsupervised and supervised classification, ...
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A Detailed Analysis on Windows Event Log Viewer for Faster Root Cause Detection of Defect using Different Graph Plotting Method
... the classification of the ...neighbor classification. One approach to this problem is to pre-sort the training sets in some way (such as kd-trees or Voronoi ...that classification by the 1- NN ...
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Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... mining, classification and prediction, and ...these classification techniques are supervised learning techniques to classify data item into predefined class ...construct classification models from an ...
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Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
... new approach to sentence alignment on parallel web ...our approach, the web page is represented as a tree, and a stochastic tree alignment model is used to exploit the structural ...
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Tree-Based Consistency Approach for Cloud Databases
... – considers reliability of replicas – creates tree based on reliability. – updates sent to replicas based on tree – tree is dynamic.[r] ...
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