Información de la conferencia
MOD 2017: International Conference on Machine learning, Optimization, and big Data
http://www.taosciences.it/mod/
Día de Entrega:
2017-05-31
Fecha de Notificación:
2017-07-01
Fecha de Conferencia:
2017-09-14
Ubicación:
Volterra, Tuscany, Italy
Años:
3
Vistas: 8109   Seguidores: 1   Asistentes: 0

Solicitud de Artículos
The International Conference on Machine learning, Optimization, and big Data (MOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization, knowledge discovery and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.

MOD 2017 will be held in Volterra (Pisa) – Tuscany, Italy, from September 14 to 17, 2017. The conference will consist of four days of conference sessions. We invite submissions of papers on all topics related to Machine learning, Optimization, Knowledge Discovery and Data Science including real-world applications for the Conference Proceedings by Springer – Lecture Notes in Computer Science (LNCS).

MOD uses the single session formula of 30 minutes presentations for fruitful exchanges between authors and participants.

Topics of Interest

The last five-year period has seen a impressive revolution in the theory and application of  machine learning and big data. Topics of interest include, but are not limited to:

    Foundations, algorithms, models and theory of data science, including big data mining.
    Machine learning and statistical methods for big data.
    Machine Learning algorithms and models. Neural Networks and Learning Systems. Convolutional neural networks.
    Unsupervised, semi-supervised, and supervised  Learning.
    Knowledge Discovery. Learning Representations. Representation learning for planning and reinforcement learning.
    Metric learning and kernel learning. Sparse coding and dimensionality expansion. Hierarchical models. Learning representations of outputs or states.
    Multi-objective optimization. Optimization and Game Theory. Surrogate-assisted Optimization. Derivative-free Optimization.
    Big data Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
    Big Data mining systems and platforms, and their efficiency, scalability, security and privacy.
    Computational optimization. Optimization for representation learning. Optimization under Uncertainty
    Optimization algorithms for Real World Applications. Optimization for Big Data. Optimization and Machine Learning.
    Implementation issues, parallelization, software platforms, hardware
    Big Data mining for modeling, visualization, personalization, and recommendation.
    Big Data mining for cyber-physical systems and complex, time-evolving networks.
    Applications in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, medicine and other domains.

We particularly encourage submissions in emerging topics of high importance such as data quality, advanced deep learning, time-evolving networks, large multi-objective optimization, quantum discrete optimization, learning representations, big data mining and analytics, cyber-physical systems,  heterogeneous data integration and mining, autonomous decision and adaptive control.

https://easychair.org/conferences/?conf=mod2017
Última Actualización Por Dou Sun en 2017-05-22
Conferencias Relacionadas
CCFCOREQUALISAbreviaciónNombre CompletoEntregaNotificaciónConferencia
NCS''Annual National Cyber Security Summit2018-01-152018-03-012018-06-05
ICEI'International Conference on Engineering Industry2013-10-022013-11-012013-12-03
AICONEAI International Conference on Artificial Intelligence for Communications and Networks2019-11-202020-01-202020-05-23
ICIMEInternational Conference on Information Management and Engineering2021-08-202021-09-142021-10-23
IDCSInternational Conference on Internet and Distributed Computing Systems2019-06-012019-07-312019-10-10
CPECEInternational Conference on Power, Electrical and Communication Engineering2023-07-302023-08-102023-08-18
ICMTMAInternational Conference on Measuring Technology and Mechatronics Automation2019-12-252019-12-252020-01-04
IEEE BigDataIEEE International Conference on Big Data2024-09-082024-10-272024-12-15
IC4S'EAI International Conference on Cognitive Computing and Cyber Physical Systems2020-06-222020-08-032020-12-02
SEEEInternational Conference on Smart Energy and Electrical Engineering2022-05-232022-06-102022-08-12
Revistas Relacionadas
CCFNombre CompletoFactor de ImpactoEditorISSN
Applied Ontology2.500IOS Press1570-5838
Discrete Event Dynamic Systems1.400Springer0924-6703
bDesigns, Codes and Cryptography1.400Springer0925-1022
cTheory and Practice of Logic Programming1.400Cambridge University Press1471-0684
cConcurrency and Computation: Practice and Experience1.500John Wiley & Sons, Ltd1532-0634
International Journal of Fuzzy Logic and Intelligent SystemsKorean Institute of Intelligent Systems1598-2645
bIEEE Transactions on Robotics9.400IEEE1552-3098
Signal & Image Processing : An International Journal AIRCC2229-3922
Complexity1.700Hindawi1076-2787
Journal of Artificial Societies and Social Simulation3.500University of Surrey1460-7425
Nombre CompletoFactor de ImpactoEditor
Applied Ontology2.500IOS Press
Discrete Event Dynamic Systems1.400Springer
Designs, Codes and Cryptography1.400Springer
Theory and Practice of Logic Programming1.400Cambridge University Press
Concurrency and Computation: Practice and Experience1.500John Wiley & Sons, Ltd
International Journal of Fuzzy Logic and Intelligent SystemsKorean Institute of Intelligent Systems
IEEE Transactions on Robotics9.400IEEE
Signal & Image Processing : An International Journal AIRCC
Complexity1.700Hindawi
Journal of Artificial Societies and Social Simulation3.500University of Surrey
Recomendaciones