Reuse with Attribute-based Property Selection
Network Traffic Feature Selection Based on the Evaluation of Every Attribute
... subset selection, Hybrid methods, Remaining ...learning based traffic classification, feature subset selection is often used to realize dimension reduction and redundant information ...subset ...
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Improving Lazy Attribute Selection
... traditionally, attribute selection techniques are executed as a data preprocessing step, making their results definitive from that point ...filter attribute selection strategy – based ...
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Performance Comparison based on Attribute Selection Techniques of WEKA and ROSE Tools
... of attribute selection using ROSE2, a tool that implements rough set theory and WEKA ...its attribute selection methods on three datasets namely Hypothyroid, Hepatitis and Pima Indian ...
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Learning Based Multi Attribute Network Selection in Heterogeneous Wireless Access
... is based on an autonomous agent at the mobile node and assisted by integration of distributed cloud services, ...The selection of RAN is based on a Multi Attribute Decision Making process ...
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Performance Evaluation of Gene based Ontology Using Attribute Selection Methods
... new attribute selection methods are proposed which uses the Support Vector Machine (SVM) algorithm to organize the senescence-related ...hierarchical attribute selection methods which uses the ...
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Attribute Selection Method based on Objective Data and Subjective Preferences in MCDM
... alternative based on the collected data; one is fire expert who are engaged in fire research for many years and have in-depth study of the fire attributes, and the other is an experienced firefighter who know some ...
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Weighted Attribute Based Web service Selection Framework for Successful Integration
... V. CONCLUSION In this paper, we have described our motivation and progress in working to develop monitoring system for SLAs with the principal purpose of mitigating outsourcing risks related to software web services ...
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Exploring Attribute Selection in Hierarchical Classification
... In this work, two classifiers will be explored: Per Parent Top Down (PPTD) and Sum of Weighted Votes (SWV). The PPTD hierarchical classifier is based on the concepts of the “local per parent node” approach. In ...
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Group Selection and Key Management Strategies for Ciphertext-Policy Attribute-Based Encryption
... encrypting based on these user groups, revocation occurs by updating the groups to remove a ...every attribute will be valid for multiple users, which may not always be the ...
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Active Sample Selection Based Incremental Algorithm for Attribute Reduction with Rough Sets
... informative attribute set from a given ...for attribute reduction with rough sets have been recently introduced to handle dynamic datasets with large samples, though they have high complexity in time and ...
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Enhancing Attribute-based Encryption with Attribute Hierarchy
... an attribute, and an ancestral node can derive its descendant’s key, but the reverse is not ...For attribute ω, we assume its depth is k in the i-th tree, and its path from root ω i0 in the i-th tree is ...
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Benchmarking attribute selection techniques for microarray data
... Feature selection helps to improve prediction quality, reduce the computation time, complexity of the model and build models that are easily ...Feature selection removes the irrelevant and redundant ...
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Benchmarking Attribute Selection Techniques for Data Mining
... While consistency does not rank attributes as fast as information gain, speed gains are made as a by-product of the quality of the ranking produced—with C4.5 it is faster to cross validate a good ranking than a poor one. ...
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Attribute Selection Methods in Rough Set Theory
... 1 Introduction 1.1 Project overview This project focuses on learning rough set theory and implementing a classifier based on RST. For reduct methods, two algorithms were implemented: Johnson’s algorithm and PSO ...
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Attribute-Based Encryption
... Searchable encryption is an encryption algorithm with an additional searchable property. The common application is cloud storage service, in which the data owner stores their en- crypted data on a third-party ...
Based on a Semi supervised Fuzzy Clustering and Sample Selection Attribute Reduction of the Intrusion Detection
... of attribute reduction based on a semi-supervised fuzzy clustering method, and applied to the intrusion detection, first of all select the samples of data preprocessing, use a semi-supervised fuzzy ...
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Target Channel Selection Algorithm Based On Multiple Attribute Decision And Ant Colony Division
... channel selection algorithm based on jointly consideration of the multi- attribute decision and ant colony division of ...channel selection, the TOPSIS algorithm is used to calculate the ...
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A Multicriterion Fuzzy Classification Method with Greedy Attribute Selection for Anomaly-based Intrusion Detection
... clustering based on self-organized ant colony ...and selection of most relevant ...is attribute selection to reduce the high dimen- sionality and complexity 15 ...
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Emergency Coordination Decision Makers Evaluation and Selection Based on Multi Attribute Group Decision Model
... 2. Model Formulation 2.1. Problem Description Emergency coordinated decision suggests that in emergencies, there is always spontaneous decision-making aid consciousness, at the same time, more or less with other ...
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Soil Data Classification Using Attribute Group Rank With Filter Based Instance Selection Model
... Abstract— Due to the advancement of automation through data mining and machine learning algorithms, research on agricultural components such as soil, crops, rainfall and price prediction have gained massive attraction ...
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