Showing 481–492 of 1966 results
Closeness: A New Privacy Measure For Data Publishing Abstract?Closeness: The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to certain ?identifying? attributes) contains at least k records. Recently, several authors have recognized that k-anonymity cannot prevent attribute disclosure. The…
Cloud – Trust – a Security Assessment Model for Infrastructure as a Service (IaaS) Clouds Abstract?Cloud – Trust – a Security Assessment Model for Infrastructure as a Service (IaaS) Clouds. The vulnerability of Cloud Computing Systems (CCSs) to Advanced Persistent Threats < Final Year Projects 2016 > APTs is a significant concern to government and…
Cloud based secure passport Checking system using android Abstract? Remote data integrity checking (RDIC) enables a data storage server, say a cloud server, to prove to a verifier that it is actually storing a data owner?s data honestly. To date, a number of RDIC protocols have been proposed in the literature, but most of the…
Cloud Federations in the Sky: Formation Game and Mechanism Abstract? Cloud Federations in the Sky: Formation Game and Mechanism. The amount of computing resources required by current and future data-intensive applications is expected to increase dramatically, creating high demands for cloud resources. The cloud providers? available resources may not be sufficient enough to cope with…
Cloud Task scheduling based on Load Balancing Ant Colony Optimiza Abstract?The cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. One of the fundamental issues in this environment is related to task scheduling.< Final Year Project > Cloud task…
ClubCF: A Clustering-based Collaborative Filtering Approach for Big Data Application Abstract?ClubCF: Spurred by service computing and cloud computing, an increasing number of services are emerging on the Internet. As a result, service-relevant data become too big to be effectively processed by traditional approaches. In view of this challenge, a clustering-based collaborative filtering approach is proposed…
Cluster ensemble selection based on relative validity indexes Abstract?Cluster ensemble selection based on relative validity indexes. Selective clustering ensemble is usually based on the reference partition to select members of the ensemble. General method of generating reference partition is to use preliminary ensemble results, < Final Year Projects > yet it cannot eliminate the influence…
Cluster ensemble selection based on relative validity indexes Abstract?There are variety of methods available to solve multi-objective optimization problems, very few utilizes criterion linkage between data objects in the searching phase, to improve final result. This article proposes an evolutionary clustering algorithm for multi-objective optimization. This paper aims to identify more relevant features based on…
Clustering Based Discriminant Analysis for Eye Detection Abstract?Clustering Based Discriminant Analysis for Eye Detection. This paper proposes three clustering-based discriminant analysis (CDA) models to address the problem that the Fisher linear discriminant may not be able to extract adequate features for satisfactory performance, especially for two class problems. The first CDA model, CDA-1, divides…
Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm Abstract?Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm. In comparison with hard clustering methods, in which a pattern belongs to a single cluster, fuzzy clustering algorithms allow patterns to belong to all clusters with differing degrees of membership. This is important in domains…
Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm Abstract?Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm. In comparison with hard clustering methods, in which a pattern belongs to a single cluster, fuzzy clustering algorithms allow patterns to belong to all clusters with differing degrees of membership. This is important in domains…
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model Abstract? Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model. Mining opinion targets and opinion words from online reviews are important tasks for ?ne-grained < Final Year Projects 2016 > opinion mining, the key…
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