Conferences related to Competitive Intelligence

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2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

(BSN) Body sensor networks increase the opportunity to measure physiology and behaviour outside the clinical setting. Means of communication, on-chip and off-line data processing and proper modelling turn these measurements into useful information. (BHI) is “Informatics for smart, precision and preventive medicine”.

  • 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    The BSN Conference is an annual event that brings together students, professors, doctors and industry people to discuss the latest trends in wearable body sensors and issues these body sensors are solving

  • 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    The availability of small, low-cost networked sensors combined with advanced signal processing and information extraction is driving a revolution in physiological monitoring and intervention. Body Sensor Networks (BSN) are enabling technologies for precision healthcare, enhanced sports and fitness training, novel life-style monitoring, and individualized security. The 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2015) will address BSN research and offer participants a unique forum to discuss the key issues and innovative solutions for sensors, communications, algorithms, systems, and applications. The conference features numerous invited lectures by leading academic researchers and industrial experts. On the days before and after the conference, tutorials will be presented, detailing and demonstrating BSN technologies from sensor networks to the algorithms that employ them.

  • 2014 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    BSN 2014 will provide a unique forum for researchers and industry practitioners to discuss the latest work in various fields utilizing body sensor networks. Building on the success of the previous 10 annual meetings, the 11th BSN conference will be held at ETH Zurich in Zurich, Switzerland and technically co-sponsored by the IEEE EMB Society.

  • 2013 IEEE International Conference on Body Sensor Networks (BSN)

    This conference brings together innovators and leaders from academic, industry, business, and government to provide a forum to discuss ideas, concepts, and experimental results in the following body sensor network topic areas:- Sensors- Communications and networking- Systems and resource management- Algorithms and signal processing- Medical and performance applications

  • 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    Recent advances in bionics, wireless network and computer technologies have enabled the realisation of miniaturised wireless biosensors for pervasive monitoring. Based on these technologies, the concept of Body Sensor Network has been proposed to improve patient care, chronic disease management, and promote lifelong health and wellbeing for the ageing population.

  • 2010 International Conference on Body Sensor Networks (BSN)

    This conference will address the fast-growing BSN research field, and offers participants a unique forum to discuss the key issues and innovative solutions in current BSN research. The conference will feature a number of invited lectures by leading academic researchers and industrial experts and include a showcase and demonstration of healthcare and other technologies.

  • 2007 Wearable & Implantable Body Sensor Networks Conference (BSN)

  • 2006 Wearable & Implantable Body Sensor Networks Conference (BSN)


2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

The aim of INDIN´18 is to bring together researchers and practitioners from industry and academia and provide them with a platform to report and discuss recent developments, deployments, technology trends and research results, as well as initiatives related to industrial informatics and their application.


2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)

The conference covers theory, design and application of computer networks and distributed systems.


2018 IEEE Conference on Computational Intelligence and Games (CIG)

The IEEE Conference on Computational Intelligence and Games is the premier annual event for researchers applying computational and artificial intelligence techniques to games. The domain of the conference includes all sorts of CI/AI applied to all sorts of games, including board games, video games and mathematical games.

  • 2017 IEEE Conference on Computational Intelligence and Games (CIG)

    Computer games not only offer a killer application for computational intelligence (CI), machine learning and search but also provide a compelling domain where problem solving and decision making meet artifact creation; both of which can be experienced via a highly immersive, complex and rich interaction. Additionally, methods from computational intelligence promise to have a big impact on game technology and development, assisting designers and developers and enabling new types of computer games. The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (CIG) is one of the premier international conferences in the field of computational and artificial intelligence and games.

  • 2016 IEEE Conference on Computational Intelligence and Games (CIG)

    Games can be used as a challenging scenery for benchmarking methods from computational intelligence since they provide dynamic and competitive elements that are germane to real-world problems. This conference brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.The IEEE Conference on Computational Intelligence and Games is the premier annual event for researchers applying computational and artificial intelligence techniques to games. The domain of the conference includes all sorts of CI/AI applied to all sorts of games, including board games, video games and mathematical games.

  • 2015 IEEE Conference on Computational Intelligence and Games (CIG)

    Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. Additionally, methods from computational intelligence promise to have a big impact on game technology and development, assisting designers and developers and enabling new types of computer games. The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (IEEE CIG) is one of the premier international conferences in the field of computational intelligence and games.

  • 2014 IEEE Conference on Computational Intelligence and Games (CIG)

    Games can be used as a challenging scenery for benchmarking methods from computational intelligencesince they provide dynamic and competitive elements that are germane to real-world problems. This conference brings together leading researchers andpractitioners from academia and industry to discuss recent advances and explore future directions in this field.

  • 2013 IEEE Conference on Computational Intelligence and Games (CIG)

    The conference covers applications of computational intelligence to games, defined in a broad sense, as well as applications to supporting technology such as content, art work, and non-player characters.

  • 2012 IEEE Conference on Computational Intelligence and Games (CIG)

    Games provide dynamic environments modelling many real-world problems and methods from computational intelligence promise to having a big impact on game technology and development. CIG 2012 brings together leading researchers, designers, developers, and practitioners from academia and industry to discuss recent advances and explore future directions in this ever changing field.

  • 2011 IEEE Conference on Computational Intelligence and Games (CIG)

    Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. The 2010 IEEE Symposium on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.

  • 2010 IEEE Symposium on Computational Intelligence and Games (CIG)

    Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. The 2010 IEEE Symposium on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.

  • 2009 IEEE Symposium on Computational Intelligence and Games (CIG)

    The 2009 IEEE Symposium on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in the area of computational intelligence applied to games.

  • 2008 IEEE Symposium on Computational Intelligence and Games (CIG)

  • 2007 IEEE Symposium on Computational Intelligence and Games (CIG)

  • 2006 IEEE Symposium on Computational Intelligence and Games (CIG)

  • 2005 IEEE Symposium on Computational Intelligence and Games (CIG)


2018 IEEE Congress on Evolutionary Computation (CEC)

IEEE CEC is the leading event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.


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Periodicals related to Competitive Intelligence

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Competitive Intelligence

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Xplore Articles related to Competitive Intelligence

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Study on Model about Competitive Intelligence System of Enterprise Based on Data Mining under Electronic Commerce Environment

[{u'author_order': 1, u'full_name': u'Ting Chen'}, {u'author_order': 2, u'full_name': u'Kaihu Hou'}, {u'author_order': 3, u'full_name': u'Kaichao Yu'}] 2008 International Seminar on Business and Information Management, 2008

Electronic Commerce (e-commerce or e-business) is the mainstream business model in the 21st century. The development of enterprises will face the brand- new choices and opportunities. Using data warehouse technology realizes subject-oriented data integration, and using data mining technology for competitive intelligence analysis can effectively resolve analysis, evaluation and forecast questions of competitors in the competitive intelligence system of enterprise, ...


Designing a Network Acquisition System of Competitive Intelligence

[{u'author_order': 1, u'full_name': u'Guoliang Shi'}, {u'author_order': 2, u'full_name': u'Xiaorong Mou'}, {u'author_order': 3, u'full_name': u'Xu Wan'}] 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, 2009

Information acquisition is an important part in the competitive intelligence system. With the development of network technology, network information has become an important information source of competitive intelligence acquisition. However, the complex and chaotic information on the Internet result in inefficiency of artificial collecting and processing intelligence. This paper has discussed the use of Delphi, database technology to design a ...


Web Mining Technology in Competitive Intelligence System Research

[{u'author_order': 1, u'full_name': u'Liu Pu'}, {u'author_order': 2, u'full_name': u'Xia Xiao-hui'}] 2009 International Symposium on Information Engineering and Electronic Commerce, 2009

With the rapid development of Web technology and database technology, the Internet has become the most important sources of information for competitive business intelligence. The introduction of data mining system into competitive intelligence is a new important issue of practical significance. This paper analyzes the Web mining technology, integration of Web mining and competitive intelligence system, with focus on how ...


XEWGraph : A tool for visualization and analysis of hypergraphs for a competitive intelligence system

[{u'author_order': 1, u'affiliation': u'Software Department, Faculty of Sciences, Agadir, Morocco', u'full_name': u'Zakaria Boulouard'}, {u'author_order': 2, u'affiliation': u'Software Department, Faculty of Sciences, Agadir, Morocco', u'full_name': u'Lahcen Koutti'}, {u'author_order': 3, u'affiliation': u'Mathematics and Software Department, ENSA, Al Hoceima, Morocco', u'full_name': u'Anass El Haddadi'}, {u'author_order': 4, u'affiliation': u'Software Department, Faculty of Sciences and Technology, Tangier, Morocco', u'full_name': u'Amine El Haddadi'}, {u'author_order': 5, u'affiliation': u'Software Department, Faculty of Sciences and Technology, Tangier, Morocco', u'full_name': u'Abdelhadi Fennan'}] 2015 6th International Conference on Information Systems and Economic Intelligence (SIIE), 2015

Competitive Intelligence is a set of coordinated researches, extractions and treatments of information that stakeholders find useful for them in order to ease the process of decision making. The Competitive Intelligence System Xplor EveryWhere (XEW) helps its users search, visualize, validate and share useful data. In this paper, we will introduce Xplor EveryWhere and we will spot the light on ...


The Application of Web Data Mining Technique in Competitive Intelligence System of Enterprise Based on XML

[{u'author_order': 1, u'full_name': u'Chen Ting'}, {u'author_order': 2, u'full_name': u'Niu Xiao'}, {u'author_order': 3, u'full_name': u'Yang Weiping'}] 2009 Third International Symposium on Intelligent Information Technology Application, 2009

In order to response the increased competition, improve the correctness and timeliness of decision-making, enterprises need to make efficient data analysis techniques and methods used in competitive intelligence system. XML combines with Web data mining technology can effectively solve many problems faced by Web data mining, significantly improve the efficiency and effect of collection and analysis of competitive intelligence system ...


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Educational Resources on Competitive Intelligence

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eLearning

No eLearning Articles are currently tagged "Competitive Intelligence"

IEEE-USA E-Books

  • Understanding User-Web Interactions via Web Analytics

    This lecture presents an overview of the Web analytics process, with a focus on providing insight and actionable outcomes from collecting and analyzing Internet data. The lecture first provides an overview of Web analytics, providing in essence, a condensed version of the entire lecture. The lecture then outlines the theoretical and methodological foundations of Web analytics in order to make obvious the strengths and shortcomings of Web analytics as an approach. These foundational elements include the psychological basis in behaviorism and methodological underpinning of trace data as an empirical method. These foundational elements are illuminated further through a brief history of Web analytics from the original transaction log studies in the 1960s through the information science investigations of library systems to the focus on Websites, systems, and applications. Following a discussion of on- going interaction data within the clickstream created using log files and page tagging for analytics of Website and search logs, the lecture then presents a Web analytic process to convert these basic data to meaningful key performance indicators in order to measure likely converts that are tailored to the organizational goals or potential opportunities. Supplementary data collection techniques are addressed, including surveys and laboratory studies. The overall goal of this lecture is to provide implementable information and a methodology for understanding Web analytics in order to improve Web systems, increase customer satisfaction, and target revenue through effective analysis of user–Website interactions. Table of Contents: Understanding Web Analytics / The Foundations of Web Analytics: Theory and Methods / The History of Web Analytics / Data Collection for Web Analytics / Web Analytics Fundamentals / Web Analytics Strategy / Web Analytics as Competitive Intelligence / Supplementary Methods for Augmenting Web Analytics / Search Log Analytics / Conclusion / Key Terms / Blogs for Further Reading / References



Standards related to Competitive Intelligence

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Jobs related to Competitive Intelligence

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