We are pleased to invite you to submit your paper
Paper Submission is now open for the 6th edition of BDCC! Check out the Call for Papers.Take a look back at the previous edition of BDCC here.BDCC 2023 supports revolutionary EAI Community Review, find out more here.Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.Get real feedback on your presentation from other registrants via EAI Compass.
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
Big data refers to the process of analyzing and extracting insights from large, complex, and diverse data sets using various tools and techniques. Big data analytics is a process of examining data to discover knowledge-based decisions and opportunities to understand potential for research and practice. It involves using various tools and techniques, such as data mining, machine learning, and statistical analysis, to identify patterns, trends, and relationships in the data. Big data analytics can help organizations make data-driven decisions, optimize their operations, and improve their research experience.
Big data analytics and artificial intelligence are two complementary technologies that are transforming various industries, including healthcare, finance, retail, and manufacturing. Many promising artificial intelligence techniques can be used for big data analytics, including representation learning, optimization, machine learning, deep learning, neural networks and natural language processing. Big data and artificial intelligence produce accurate and insightful decisions, predict future trends and behaviour, automate complex processes, and enhance customer engagement in various subfields, such as machine learning, natural language processing, computer vision, and robotics. artificial intelligence can be used to automate routine and repetitive tasks, improve the accuracy and speed of decision-making, and enhance the overall efficiency of business processes.
BDCC 2023 addresses the issues and challenges posed by data analytics and artificial intelligence problems and gives an overview of the future research opportunities. BDCC 2023 is open for high quality research contributions from wide range of professions including scholars, researchers, academics, and people from the industry. Papers of original research and reviews on the state of art will be accepted.
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
Authors of selected best accepted and presented papers will be invited to submit an extended version to:
Additional publication opportunities:
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.