Big Data Definitions
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
The MDM series of conferences, since its debut in 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The conference provides unique opportunities to bring researchers, engineers, and practitioners together to explore new ideas, techniques, and tools, and exchange experiences. Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (demos), workshops, advanced seminars, panel discussions as well as Industrial forum to cater industrial developers.The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.
Computer in Technical Systems, Intelligent Systems, Distributed Computing and VisualizationSystems, Communication Systems, Information Systems Security, Digital Economy, Computersin Education, Microelectronics, Electronic Technology, Education
Gaining insight from massive data is critical for disciplines such as climate science, nuclear physics, security, materials design, transportation, urban planning, and so on. Business-critical decisions are made based on massive data in domains like social media, machine learning, software telemetry, and business intelligence. The tools and approaches needed to search, analyze, and visualize data at extreme scales can be fully realized only from end-to-end solutions, and with collective, interdisciplinary efforts.The LDAV symposium is specifically targeting methodological innovation, algorithmic foundations, and possible end-to-end solutions. It will bring together domain experts, data analysts, visualization researchers, and users to foster common ground for solving both near- and long-term problems.
The international IEEE Aerospace Conference is organized to promote interdisciplinaryunderstanding of aerospace systems, their underlying science, and technology
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.
2015 International Conference on Electrical Engineering and Informatics (ICEEI), 2015
During the early phase of software development, there are works to be done. One of them is conducting an effort estimation. Without a proper process, the development may find itself overlook the targeted budget. This paper focus on the study of effort estimation in Big Data software development. Big Data definitions and characteristics may altered the current method and model ...
Q&A with Dr. Sorel Reisman: IEEE Big Data Podcast, Episode 2
Q&A with Dr. Iqbal Ahamed: IEEE Big Data Podcast, Episode 3
Big Data Analytics: Tools and Technologies - Big Data Analytics Tutorial Part 2
Q&A with Dave Belanger & Kathy Grise, Part 1: IEEE Big Data Podcast, Episode 12
Q&A with Dr. Mahmoud Daneshmand: IEEE Big Data Podcast, Episode 1
Q&A with Dr. Claudio Demartini: IEEE Big Data Podcast, Episode 4
TechNews: Big Data
Q&A with Dr. Ling Liu: IEEE Big Data Podcast, Episode 8
Q&A with Dejan Milojicic: IEEE Big Data Podcast, Episode 7
Mahmoud Daneshmand on IoT and Big Data Analytics: IoT: Even Bigger Data
Q&A with Dr. May Wang: IEEE Big Data Podcast, Episode 9
Big Data and Machine Learning in Cancer Genomics
Big Data and Analytics at Verizon
Q&A with Chris Franzino: IEEE Big Data Podcast, Episode 5
"Big-p" Data: Large Number of Variables "P"
Big Data & the Cloud: The Road Ahead
Q&A with Dave Belanger & Kathy Grise, Part 2: IEEE Big Data Podcast, Episode 12
Consequences of Big Data on the Individual
Q&A with Sorel Reisman & Sheikh Iqbal Ahamed, Part 1: IEEE Big Data Podcast, Episode 12
During the early phase of software development, there are works to be done. One of them is conducting an effort estimation. Without a proper process, the development may find itself overlook the targeted budget. This paper focus on the study of effort estimation in Big Data software development. Big Data definitions and characteristics may altered the current method and model that used to estimate the effort. As author undergo the study, it shows that one of the most appropriate method to be used is the algorithmic method. Thus, the study is concentrated in the use of algorithmic method and three models within it, namely the COCOMO II, Function Point Analysis, and Use Case-based Estimation. The study result is tested using a study case of Geodatabase. Geodatabase is a software which process Big Data and developed by the Center of Data and Analysis of Rural Development (Pusat Data dan Analisa Pembangunan - Badan Perencanaan dan Pengembangan Daerah Provinsi Jawa Barat). The study concludes that the practice of using algorithmic method and models is able to deliver an estimation value. However, the value is being convergent only on particular models and their variations. Thus it can be concluded that it is better to combine various methods and models in order to achieve better accuracy in effort estimation.
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