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Intro; Contents; Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function; Abstract; 1 Introduction; 2 Proposed Hybrid Approach to Attribute Selection; 2.1 Attribute Selection; 2.2 Information Gain Based Entropy; 2.3 Genetic Algorithm; 2.3.1 Methodology; 2.3.2 Modifications in Fitness Function; 2.4 Proposed Hybrid Approach; 3 Results and Discussion; 3.1 Dataset Description; 3.2 Parameter Settings; 3.3 Experimental Results; 4 Conclusion; References; Application of Evolutionary Particle Swarm Optimization Algorithm in Test Suite Prioritization; Abstract
1 Introduction2 Related Work; 3 Test Case Prioritization; 3.1 Prioritizing Based on Statement Coverage; 3.2 Prioritizing Based on Branch Coverage; 4 Particle Swarm Optimization; 4.1 Mapping PSO to Test Suite Prioritization; 4.2 Fitness Calculation in PSO; 4.3 Proposed Algorithm; 4.4 Flow Chart of Proposed Algorithm; 5 Analysis and Evaluation; 5.1 Data Collection; 5.2 Case Study: Calculator; 5.3 Empirical Results; 6 Results and Interpretation; 7 Threats to Validity; 8 Conclusion and Future Work; References; An Autonomous Trust Model for Cloud Integrated Framework; Abstract; 1 Introduction
2 Literature Survey3 Proposed Work; 3.1 Architecture for Trust Enhanced CIF; 3.2 Data Quality Assurance; 3.3 Trust Modeling for Trust Enhanced CIF; 3.3.1 Trust Metrics; 3.3.2 CSP Trust Score; 4 Simulation and Results of Trust Enhanced CIF; 5 Conclusion; References; Combined Classifier Approach for Offline Handwritten Devanagari Character Recognition Using Multiple Features; Abstract; 1 Introduction; 1.1 About Devanagari Script; 1.2 Related Work; 2 Proposed Approach; 2.1 Preprocessing; 2.2 Feature Extraction; 2.3 Classifier; 3 Experimental Results; 4 Conclusion; References
Comprehensive Study on Usage of Multi Objectives in Recommender SystemsAbstract; 1 Introduction; 2 Objectives of Recommendations; 2.1 User Preference; 2.2 Prediction Accuracy; 2.3 Novelty; 2.4 Serendipity; 2.5 Diversity; 2.6 Trust; 3 Literature Survey; 3.1 Approaches Dealing with Combined Objectives; 3.2 Context Awareness; 3.3 Personalization; 3.4 Evolutionary Algorithms; 4 Evaluation of Recommender Systems; 5 Discussion and Conclusion; References; Visual Analysis of Genetic Algorithms While Solving 0-1 Knapsack Problem; Abstract; 1 Introduction; 2 Related Works; 3 Design of Experiments
4 Simulation Analysis5 Conclusion; References; Securing Image Posts in Social Networking Sites; Abstract; 1 Introduction; 2 Motivation; 3 Literature Survey; 3.1 Image Security Techniques; 3.2 Recommender Systems; 3.3 Summary of Findings; 4 Proposed Work; 5 Evaluation Based Selection of Security Technique; 5.1 Algorithm 1: Perfect Secrecy Algorithm; 5.2 Selection of Peers; 6 Trust Calculation and Recommendation; 6.1 Reliability of the Peer; 6.2 Credibility of the Peer; 6.3 Trust Value of the User; 6.4 Recommender Engine; 7 Experimental Setup and Results; 8 Conclusion; References
1 Introduction2 Related Work; 3 Test Case Prioritization; 3.1 Prioritizing Based on Statement Coverage; 3.2 Prioritizing Based on Branch Coverage; 4 Particle Swarm Optimization; 4.1 Mapping PSO to Test Suite Prioritization; 4.2 Fitness Calculation in PSO; 4.3 Proposed Algorithm; 4.4 Flow Chart of Proposed Algorithm; 5 Analysis and Evaluation; 5.1 Data Collection; 5.2 Case Study: Calculator; 5.3 Empirical Results; 6 Results and Interpretation; 7 Threats to Validity; 8 Conclusion and Future Work; References; An Autonomous Trust Model for Cloud Integrated Framework; Abstract; 1 Introduction
2 Literature Survey3 Proposed Work; 3.1 Architecture for Trust Enhanced CIF; 3.2 Data Quality Assurance; 3.3 Trust Modeling for Trust Enhanced CIF; 3.3.1 Trust Metrics; 3.3.2 CSP Trust Score; 4 Simulation and Results of Trust Enhanced CIF; 5 Conclusion; References; Combined Classifier Approach for Offline Handwritten Devanagari Character Recognition Using Multiple Features; Abstract; 1 Introduction; 1.1 About Devanagari Script; 1.2 Related Work; 2 Proposed Approach; 2.1 Preprocessing; 2.2 Feature Extraction; 2.3 Classifier; 3 Experimental Results; 4 Conclusion; References
Comprehensive Study on Usage of Multi Objectives in Recommender SystemsAbstract; 1 Introduction; 2 Objectives of Recommendations; 2.1 User Preference; 2.2 Prediction Accuracy; 2.3 Novelty; 2.4 Serendipity; 2.5 Diversity; 2.6 Trust; 3 Literature Survey; 3.1 Approaches Dealing with Combined Objectives; 3.2 Context Awareness; 3.3 Personalization; 3.4 Evolutionary Algorithms; 4 Evaluation of Recommender Systems; 5 Discussion and Conclusion; References; Visual Analysis of Genetic Algorithms While Solving 0-1 Knapsack Problem; Abstract; 1 Introduction; 2 Related Works; 3 Design of Experiments
4 Simulation Analysis5 Conclusion; References; Securing Image Posts in Social Networking Sites; Abstract; 1 Introduction; 2 Motivation; 3 Literature Survey; 3.1 Image Security Techniques; 3.2 Recommender Systems; 3.3 Summary of Findings; 4 Proposed Work; 5 Evaluation Based Selection of Security Technique; 5.1 Algorithm 1: Perfect Secrecy Algorithm; 5.2 Selection of Peers; 6 Trust Calculation and Recommendation; 6.1 Reliability of the Peer; 6.2 Credibility of the Peer; 6.3 Trust Value of the User; 6.4 Recommender Engine; 7 Experimental Setup and Results; 8 Conclusion; References