The PAIS’2016 conference aims to address the main issues of concern within the intelligent systems. This conference covers both the technical as well as the non-technical aspects of the intelligent system. Broad areas of interest are eSociety and Digital Divide, eBusiness/eCommerce, eLearning, New Media and E-Society, Digital Services in ESociety, eGovernment / eGovernance, eHealth, Information Systems, and Information Management. These broad areas are divided into more detailed areas (see below). However innovative contributes that don’t fit into these areas will also be considered since they might be of benefit to conference attendees.

The scope of PAIS’2016 includes, but not limited to, the following tracks:

Track 1. Machine Vision

- Pattern Recognition - Image Processing and Artificial Vision Application - Pattern Recognition: Fuzzy Clustering and Classifiers - Fuzzy Image, Speech and Signal Processing - Vision and Multimedia

Track 2. Datamining & Software Development

- Big Data Query Languages and Optimization - Big Data Searching and Discovery - Big Data Application Design and Deployment - Big Data Analytics and User Interfaces - Big Data Indexing and Storing - Big Data Analytics: algorithms, techniques, and systems - Visualization Analytics for Big Data - Analytics for Social Networks - Analytics for Data Streams and Sensor Data - Information Retrieval - Social Information Retrieval - Applying data analysis and discovery algorithms - Interactive and Online Data Mining - Social Networks and Web Mining - Machine Learning - User Profiling and Recommender Systems - Visual Data Mining and Data Visualization - Text Mining of holly books for Islamic Finance - Data mining systems and platforms, their efficiency, scalability and privacy - Data mining in modelling, visualization, personalization and recommendation - Applications of data/text mining in all domains including social, web, health, transport and finance - Mining text, semi-structured, streaming, graph, web, sensors, multimedia data

Track 3. Intelligent Systems

- Hybrid Systems - Intelligence for Security - Intelligent Behaviour - Intelligent Control - Intelligent Decision Making Systems - Intelligent Information Processing - Intelligent Measurement - Intelligent Pattern Recognition - Data Mining and Knowledge Discovery - Evolutionary Computation - Evolving Systems - Fuzzy Sets and Systems - Generalized Nets - Genetic Algorithms - Computational Intelligence - Smart Measurement, Instrumentation and Methodologies Related to Healthcare Systems - Non-invasive Techniques and Instrumentation - Sensors and Sensor Fusion - Intelligent Signal & Image Processing Techniques and Applications - Neural Networks - Fuzzy Logic - Genetic Algorithms - Agents and Multi-Agent Systems - Swarm Intelligence - Expert Systems - Smart Buildings and Cities - Internet of Things - Ambient Assisted Living - Smart Healthcare - Intelligent Driving - Data Science - Software Development for Measurement and Instrumentation Support - Virtual Measurement Systems - Smart Wireless Sensors and Systems - Biometrics - Spam Detection - Intrusion Detection - Security Intelligence - Computer Forensics - Big data analytics for security - Image/Video Processing - Pattern Recognition - Bioinformatics - Supervised/Unsupervised Learning - Decision Making - Support Vector Machines - Bayesian networks - Ant colony optimization - Natural language processing

Track 4. Technological excellence and social innovation

- E-Society, E-Participation and E-Democracy - Cloud computing, smart technologies - Big Data, open data - Security, Privacy and Ethics in the digital era - Smart Cities, E-Gov, Participatory Urban Design - Interoperability, SmartGov and E-Gov Architectures - Social networking & data journalism - Participatory design & leadership methods - Social innovation & systemic change - Participatory constitutional design theory and practice - Nation branding strategies – Local communities strengthening and place development

Track 5. Artificial Intelligence

- Self-organization and Emergence - Stability and Instability in Artificial Neural Networks - Modular Implementation of Artificial Neural Networks - Neural Multi-agent Intelligent Systems and Applications - Representation Techniques - Evolutionary Multi-objective Optimization - Machine Learning - Cognitive Systems