ICMBWA 2020 attendees are welcome to submit posters to the Poster Session, especially students. The poster session offers the opportunity for presenters to share and present their research work in progress to experts in the field and receive valuable feedback.

The session also encourages networking and discussion among peers, which may lead to possible collaborative efforts in the country.

Submitted posters will be judged based on their originality, methodological quality and obtained preliminary results.

 

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 Proposed papers should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions.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

 

 

Web Analytics is an emerging concept which reflects the increasing significance of data, generated by the Web, in terms of its growing volumes, variety, and velocity. Web Analytics has been growing ever since the development of the World Wide Web. It has grown from a simple function of HTTP (Hypertext Transfer Protocol) traffic logging to a more comprehensive suite of usage data tracking, analysis, and reporting.

In the business context, Web Analytics is used for different purposes, including traffic monitoring, e-commerce optimization, marketing/advertising, web development, analyze and improve online customer experience and website profitability, information architecture, website performance improvement, web-based campaigns/programs, etc.

Throughout the International Conference on Managing Business through Web Analytics: Strategies, Guidance and Best Practices, we plan to focus more directly on Web analytics and its role in the formulation and the orientation of the businesses’ strategies. Moreover, this conference will provide insights and support from practitioners and academia in order to highlight the most debated aspects of the field.

Therefore, the aim of this conference is to determine the importance of the advanced Web Analytics metrics in the business context and explore the most relevant Web Analytics Applications that businesses need to understand and manage, in order to increase the effectiveness of their strategies and operationalize their practices.