LCBuADAaML 2021 : 1st Workshop on Leveraging customer behavior using advanced data analytics and Machine learning techniques Terceira Island, Azores, Portugal,
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| Event Date: | March 30, 2021 - April 02, 2021 |
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| Submission Deadline: | November 30, 2020 |
| Notification of Acceptance: | December 23, 2020 |
| Camera Ready Version Due: | January 02, 2021 |
About |
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The technological paradigm has transformed into a new era in today’s scientific world. The digital, both publicly and proprietary, data generation has exponentially increased and is easily accessible to both practitioners and academics. Future technologies will provide growth opportunities based on innovative business interaction with customers, informed managerial decision making, and transformed customer behavior through customer knowledge. Competitive businesses should leverage customer knowledge through advanced technologies to articulate effective strategies for business improvement. For the purpose, the customer behavior analytics can play a vital role to make data-driven decisions based on the individual-level details of their customers. The business decisions based on the precise individual-level needs and requirements, for the present and future, will enable the business to make the right offers to the right customers at the right time. Therefore, business models specially services-oriented firms and organizations should highly be focusing on customer behavior analytics to gain a competitive advantage using automated processes of machine learning, business analytics, and artificial intelligence. This is a real-world paradigm shift involving new challenges for the researchers to solve novel research questions about customer-centricity and customer behavior. This research workshop (call for papers) aims to ask the relevant community about how to best make use of the new service analytics tools to analyze customer behavior and measure and enhance business value, the customer experience, and technology readiness. Therefore, this workshop calls for the latest unpublished and original research on future service technologies, automated processes of machine learning, customer behavior analytics, and business artificial intelligence, to fill gaps in current business knowledge and customer or service analytics. These aspects are explored from the perspective of the customers and informed managerial decision making. |
Call for Papers |
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Prospective authors are encouraged to submit papers for evaluation by the Program Committee of each workshop. All papers must follow the formatting rules for Proceedings in Advances in Intelligent Systems and Computing Series (see Instructions for Authors at Springer Website) and be written in English. Submissions must be of one of two types: Full paper: Finished and consolidated R&D works. These papers are assigned a 10-page limit and Short paper: Ongoing works with relevant preliminary results open to discussion. These papers are assigned a 7-page limit.
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Summary |
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LCBuADAaML 2021 : 1st Workshop on Leveraging customer behavior using advanced data analytics and Machine learning techniques will take place in Terceira Island, Azores, Portugal,. It’s a 4 days event starting on Mar 30, 2021 (Tuesday) and will be winded up on Apr 02, 2021 (Friday). LCBuADAaML 2021 falls under the following areas: CUSTOMER DATA ANALYTICS, MACHINE LEARNING, DATA MINING, SOCIAL MEDIA ANALYTICS, etc. Submissions for this Workshop can be made by Nov 30, 2020. Authors can expect the result of submission by Dec 23, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jan 02, 2021 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the LCBuADAaML 2021
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Credits and Sources |
| [1] LCBuADAaML 2021 : 1st Workshop on Leveraging customer behavior using advanced data analytics and Machine learning techniques |
