ICMBWA 2020 : International Conference on Managing Business through Web Analytics

The overall aim of this international conference is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of Web Analytics for business. Proposed papers should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions.  Potential topics of interest are expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topics:

Web data: Integration, Cleaning, Analysis, Visualization, and Security

• Ethical Issues in the Analysis of Web Data
• Metadata and ontologies
• Important approaches to web measurement
• Information Diffusion on the Web
• Web search, Web data, Web scraping, and knowledge extraction
• Visualization of Web Data
• Web Analytics features, benefits, and limitations
• Security, Privacy, Regulation Issues, Access Control, Sharing, and Trust of Web data

Web Analytics Activities and Dynamics

• Web traffic, data collection, and Log Data analysis
• Applications of Web mining and searching
• Recommendation Algorithms and Recommender Systems
• Predictive Analytics over Web Datasets
• Customer relationship management analytics (CRM Analytics)
• Web analytics tools (Google Analytics, Google Tag Manager, etc.)
• Security in Web-based Electronic Commerce (e-cash, Auctions, Cryptocurrencies, etc.)
• Managing and storing XML data

Social Network Analysis and Graph Algorithms

• Social Media metrics in Business, Finance, Transportation, Retailing, Telecomm
• Performance of social media analytics and Web applications
• Applications of Graph Mining in Economics
• Social Mining, Social Search, and Social Recommendation Systems
• Web Text Forms and Social Media Mining
• Social Reputation and Trust Management
• Sentiment Analysis and Opinion Mining

Web Analytics, Big Data and the Internet of Things

• Web analytics in the big data era: Analysis and Modeling of Web Data
• Internet, quality of services, and Mobile computing
• Web semantics architectures, applications, and standards
• Normalization, Clustering, Classification, and Summarization of Web Text
• Machine Learning and Data Science for the Web Analytics
• Language and representation issues of Web semantics
• Internet Economics, Monetization, and Online Markets
• Web of Things and big data: Applications and Practical Deployments in Industrial, Transportation, Building Automation, Urban Infrastructure, and Health Domains

Business Value Creation from Web and social media analytics

• Economic Aspects of the Intelligent Web
• Behavioral Analytics and personalization
• E-business and Web-commerce: models and architectures
• The challenges for Web Analytics and social media applications in the business context
• Key Performance Indicators (KPIs), page Tags and Cookies in Web Analytics
• Advances in search engine optimization and email marketing analytics
• Establishment and organization of virtual companies
• Web and social media Analytics process based on experiences businesses’ best practices