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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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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 SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. In addition to a new section of chapters focusing on ethics, privacy and the politics of social media data, the new edition provides broader coverage of topics such as: (1) Data sources; (2) Scraping and spidering data; (3) Locative data, video data and linked data; (4) Platform-specific analysis; (5) Analytical tools; and (6) Critical social media analysis. Written by leading scholars from across the globe, the chapters provide a mix of theoretical and applied assessments of topics, and include a range of new case studies and data sets that exemplify the methodological approaches.
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