BUSTECH 2019 - Ninth International Conference on Business Intelligence and Technology BUSTECH 2019

BUSTECH 2019 conference tracks:
Trends in business & technology
BPM and Intelligence; Crowdsourcing; Open source intelligence; Partitioning confidential resources; Hybrid Clouds Challengies; Cooling on workload management; Scale enterprise computing; Data processing in encrypted domains; Security-intelligent lifecycle management; Portability of SOA applications; Multi-tenant SaaS Applications; Big Data workflows; Data Fusion as an Enterprise Service (DFaaES); Cost models for SDN and 5G technologies; Business processes for Internet of Things (IoT); Business processes for Internet of Drons (IoD); Business Big Data analytics; Business models for Mobile environments and Smart cities; Central data centers and nano data centers; Smart factories and Industry 4.0; Compliance on the organizational factors; MapReduce for Geo-distributed Big Data; Many-objective optimization; Virtualized Datacenters
Cloud-oriented business/technical trends
Cloud adoption factors; Business transformation based on cloud services; Economical semi-cloudification; Cloud application technologies; Power consumption in Mobile Cloud computing; Cloud quality assessment; Auditability and Security in Cloud-based services; Legacy application in clouds; Protecting business processes on the cloud; Cross-layers in Cloud Workflows; Multiple data stores cloud applications; Integration and orchestration for deployment of cloud applications
BPM and Intelligence
Intelligent information systems; Rule-based business intelligence; Intelligent decisions; Business rules and ontology; Business process intelligence; Business process automation; Workflow management; Process mining; Vocabulary rules semantics; Web Intelligence; Business computational intelligence; Decision Support Systems; Web 2.0/3.0 in business intelligence (Web warehousing, integration, mining, intelligence); Applying security in BPM
Crowdsourcing
Crowdsourcing software models; Crowdsourcing theory development and designs; Crowdsourcing business models; Crowdsourcing ethics; Maintenance of crowdsourcing-based products; Innovations and open source; Data mining for crowdsourcing; Enterprise resource planning; Business to Business; Crowdsourcing-based Web technologies
Open source intelligence
Competitive intelligence; Web-based communities; User-generated content; Public data; Satellite observance; Professional and academic events; Open scientific libraries; Internet tools and resources for OSINT (Open source intelligence)
Integration and Interoperability
Empirical business research; Enterprise integration; Enterprise interoperability; Evolutionary business process; Real-time business intelligence;
Modeling and Simulation
Business process modeling and management; Business for micro, small and large enterprises; Business transactions for large-scale data; Structured and semi-structured processes; Semantics in business modeling; Multidimensional modeling and queries; Business performance management; Business process optimization; Business process simulation; Business process analysis and design; Collaborative, participative, and interactive modeling (CPI Modeling); Modeling methods and languages
Technology-oriented business solutions
Data warehouse evolution; Mobile business; Cloud-based business; Service-oriented business; Warehousing stream and sensor data; Health and remote medicine; Business-driven IT management; Data warehousing and industry applications (ERP, CRM, etc.); Business-driven Service Level Management; Business-driven dynamic provisioning; Business-driven inventory management; Business continuity management;
Business infrastructure and tools
Hierarchical and non-hierarchical business models; Project management; Business process and project management tools; Operational flexibility-agility; Online Analytical Processing (OLAP) ; Context-aware business process management
Features of business/technology development
Traceability and compliance; Business dynamics; Trust and security; Performance and scalability; Data quality and cleansing; Empirical evaluation of business processes; Reuse in business process management; Data warehousing consistency and quality; Usability and accessibility for business intelligence applications