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Data dictionaries --- Dictionary --- Data
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The IEEE International Conference on Data Mining series (ICDM) has established itself as the world s premier research conference in data mining It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences The conference covers all aspects of data mining, including algorithms, software and systems, and applications ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge based systems, and high performance computing By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state of the art in data mining.
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The scope of 6th International Conference Confluence 2016 covers the broad spectrum of Influential areas in the field of Information Technology and Computer Science The major topics include, but not limited to Ad hoc and Sensor Networks Artificial Intelligence Autonomic Computing Big Data Business Clouds Cloud Computing Architectures Cloud Computing Consulting Methods Cloud Security, Privacy and Compliance Challenges Content Management Data Mining & Ontology Data Optimization Grid Computing Image Processing Intelligent Information System Interaction of Mobile Computing, mCommerce and Clouds Natural Language Processing Network Architectures and Protocols Network Security & Cryptography Pattern Recognition Quantum Computing Remote Sensing & GIS Service Oriented Architecture and Cloud Computing Soft Computing Software Engineering Software Security & Risk Management Ubiquitous Computing Virtual and Overlay Networks Web Mining Wireless Communication and any other Relevant Topics.
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This conference focuses on big data computing services and applications This international conference is established to address the above needs for big data computing service researchers, domain specific researchers, government agencies, and practitioners The major objective is to provide a big platform for them to exchange innovation ideas and research results, and share application experiences and lessons The three major objectives of this conference include Big Data Innovation of big data computing and service models, theories, tools, solutions and technologies Big Data and Service Sharing in big data banks and resources, portals, platforms, and open sources, technology and tools Big Data Application in real world big data application service projects for major application domains, including energy and environment, medical and healthcare, library, social media and networking, and education.
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The focus of KACSTIT2016 conference is on big data related issues, including capture, storage, transmission, visualization and analysis We welcome papers, which are conceptual, argumentative or empirical Both basic and applied research perspectives are welcome.
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Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.
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Annotation We solicit high quality original research papers (including significant work in progress) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity) relevant to variety of data (scientific and engineering, social, sensor IoT IoE, and multimedia audio, video, image, etc) that contribute to the Big Data challenges.
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The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as statistics, machine learning, pattern recognition, knowledge visualization, expert systems, high performance computing, World Wide Web, and big data analytics.
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Big data --- Data mining
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