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Index
Cover
Frontmatter
An Innovative Approach to Manage Heterogeneous Information Using Relational Database Systems
Reliable Attribute Selection Based on Random Forest (RASER)
Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning
Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters
Improving Imputation Accuracy in Ordinal Data Using Classification
GA-PSO-FASTSLAM: A Hybrid Optimization Approach in Improving FastSLAM Performance
Three Case Studies Using Agglomerative Clustering
Historic Document Image De-noising Using Principal Component Analysis (PCA) and Local Pixel Grouping (LPG)
A Robust and Optimally Pruned Extreme Learning Machine
Investigating the Effect of Combining Text Clustering with Classification on Improving Spam Email Detection
Radial Basis Function Neural Networks for Datasets with Missing Values
Evaluation Method for an Adaptive Web Interface: GOMS Model
Diversification Strategies in Differential Evolution Algorithm to Solve the Protein Structure Prediction Problem
Using Cluster Barycenters for the Generalized Traveling Salesman Problem
On Pollution Attacks in Fully Connected P2P Networks Using Trusted Peers
Certification Under Uncertainties of Control Methods for Multisource Elevators
Robust and Reliable Bionic Optimization of Nonlinear Control Problems
Human Detection Using Biological Signals in Camera Images with Privacy Aware
Nuclei Malignancy Analysis Based on an Adaptive Bottom-Hat Filter
Self-Organizing Maps and Fuzzy C-Means Algorithms on Gait Analysis Based on Inertial Sensors Data
Age, Gender, Race and Smile Prediction Based on Social Textual and Visual Data Analyzing
Test Suite Prioritization Using Nature Inspired Meta-Heuristic Algorithms
A New Trajectory Optimization Approach for Safe Mobile Robot Navigation: A Comparative Study (Khepera II Mobile Robot)
The Improvement of an Image Compression Approach Using Weber-Fechner Law
A Minimal Rare Substructures-Based Model for Graph Database Indexing
Multibiometrics Enhancement Using Quality Measurement in Score Level Fusion
Effects of Random Sampling on SVM Hyper-parameter Tuning
Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System
Training a Spiking Neural Network to Generate Online Handwriting Movements
Using a Synthetic Character Database for Training Deep Learning Models Applied to Offline Handwritten Recognition
Cognitive Conversation Language - CCL
A Genetic-Fuzzy Classification Approach to Improve High-Dimensional Intrusion Detection System
A New Data Placement Approach for Scientific Workflows in Cloud Computing Environments
A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines
Fish School Search Variations and Other Metaheuristics in the Solution of Assembly Line Balancing Problems
Improved Search Mechanisms for the Fish School Search Algorithm
A Survey on Outlier Detection in the Context of Stream Mining: Review of Existing Approaches and Recommadations
Heuristic for Scheduling Intrees on m Machines with Non-availability Constraints
Network Intrusion Detection Using Danger Theory and Genetic Algorithms
A Gamification Model for Resource Sharing in Malaysian Schools Using Cloud Computing Platform
A Modified Naïve Possibilistic Classifier for Numerical Data
Combinatorial Structural Clustering (CSC): A Novel Structural Clustering Approach for Large Scale Networks
Memetic Algorithms for the Automatic Discovery of Software Architectures
Multi-objective Dynamic Analysis Using Fractional Entropy
Multi-agent Based Truck Scheduling Using Ant Colony Intelligence in a Cross-Docking Platform
From Traditional Data Warehouse To Real Time Data Warehouse
Intelligent Traffic Congestion Prediction System Based on ANN and Decision Tree Using Big GPS Traces
Forecasting Using Elman Recurrent Neural Network
Multi-objective Particle Swarm Optimisation for Robust Dynamic Scheduling in a Permutation Flow Shop
Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce
Patient-Specific Epilepsy Seizure Detection Using Random Forest Classification over One-Dimension Transformed EEG Data
A New Approach to Human Activity Recognition Using Machine Learning Techniques
Lung Segmentation in Chest Computerized Tomography Images Using the Border Following Algorithm
Learner’s Profile Hierarchization in an Interoperable Education System
ACO-PSO Optimization for Solving TSP Problem with GPU Acceleration
A Parallel Adaptive PSO Algorithm with Non-iterative Electrostatic Repulsion and Social Dynamic Neighborhood
Fishing Monitor System Data: A Naïve Bayes Approach
Detection of Behavioral Patterns for Increasing Attentiveness Level
Towards a Medical Intensive Care Unit Decision Support System Based on Intuitionistic Fuzzy Logic
M2Onto: An Approach and a Tool to Learn OWL Ontology from MongoDB Database
Comparison of Hard and Probabilistic Evidence in Bayesian Model
Towards Activity Theory - Preliminary Report: Ambient Intelligence Applied to Smart Education
Emerging Opportunities for Ambient Intelligence in Creativity Support Tools
Time Series Data Mining for Energy Prices Forecasting: An Application to Real Data
Efficient Parameterization for Automatic Speaker Recognition Using Support Vector Machines
Security Incident Response: Towards a Novel Decision-Making System
A New Social Media Mashup Approach
Enabling the Definition and Reuse of Multi-Domain Workflow-Based Data Analysis
An Improved Elman Neural Network for Daily Living Activities Recognition
Towards an Approach Based on Ontology for Semantic-Temporal Modeling of Social Network Data
Evaluation of the Simulated Annealing and the Discrete Artificial Bee Colony in the Weight Tardiness Problem with Taguchi Experiments Parameterization
Industrial Plant Layout Analyzing Based on SNA
A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home
New Adaptive Resource Allocation Scheme in LTE-Advanced
An Approach for Measuring Flexibility of Business Processes Based on Distances Between Models and Their Variants
Specification of an Architecture for Self-organizing Scheduling Systems
Towards Better SWRL Rules Dependency Extraction
Clustering of Maintenance Tasks for the Danish Railway System
Evaluating the Quality of Business Process Models Based on Measures and Criteria in Higher Education: Developing a Framework for Continuous Quality Improvement
Age and Gender Classification from Finger Vein Patterns
Coupling Event-B/ProB for the Analysis of the Software Architecture Evolution Described in PDDL
Trust Intrusion Detection System Based on Location for Wireless Sensor Network
Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment
Cloudlets Architecture for Wireless Sensor Network
Data Fusion Classification Method Based on Multi Agents System
Community Detection in Bipartite Networks Using a Noisy Extremal Optimization Algorithm
An Approach for Incorporating the Usability Optimization Process into the Model Transformation
An ILS Heuristic for the Waste Collection Vehicle Routing Problem with Time Windows
An NLP-Based Ontology Population for Intentional Structure
Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems
A Branch-and-Price Algorithm for the Double Vehicle Routing Problem with Multiple Stacks and Heterogeneous Demand
BigDimETL: ETL for Multidimensional Big Data
Knowledge Integration in Collaborative Environments Using Supervised Ontological Alignment
A General VNS Heuristic for a Three-Stage Assembly Flow Shop Scheduling Problem
Towards NoSQL Graph Data Warehouse for Big Social Data Analysis
A Contribution of Dynamical Systems Theory and Epidemiological Modeling to a Viral Marketing Campaign
Developing an Ambient Intelligent-Based Decision Support System for Production and Control Planning
CobWeb Multidimensional Model: Visualizing OLAP Query Results Using Tag-Cloud Operators
A Time Delay Neural Network for Online Arabic Handwriting Recognition
A Proposal to Model Knowledge Dimension in Sensitive Business Processes
Using Intelligent Systems to Improve Case Flow in Court Systems
Similarity and Trust Metrics Used in Recommender Systems: A Survey
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks
Robot Swarms Theory Applicable to Seek and Rescue Operation
Linguistic Representation by Fuzzy Formal Concept and Interval Type-2 Feature Selection
Backmatter
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