DSCA-2019

International conference on Data Sciences and Computational Analytics (DSCA)

ICACDS will be a major conference organized with the objective of bringing together researchers, developers and practitioners from academia and industry working in the area of Advanced Computing. Original, previously unpublished and high quality research papers addressing research challenges and advances in Advanced Computing would be appreciated

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DSCA-2019

International conference on Data Sciences and Computational Analytics (DSCA)

ICACDS will be a major conference organized with the objective of bringing together researchers, developers and practitioners from academia and industry working in the area of Advanced Computing. Original, previously unpublished and high quality research papers addressing research challenges and advances in Advanced Computing would be appreciated

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Professional

We have skilled and professional team.

We Deliver Quality

All manuscripts submitted for publication to DSCA will be cross-checked for plagiarism using plagiarism software.

Always On Time

We always do work as we planned

We Are Pasionate

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ABOUT US



International Conference on Data Sciences and Computational Analytics (DSCA-2019) is aiming to be a flagship in the data sciences and Computational analytics field. It provides a scientific forum that brings together researchers, industry practitioners, as well as potential users of data sciences, machine learning, IoT and big data analytics. It covers all data sciences and analytics related areas, including statistical, probabilistic and mathematical methods, machine learning, data and business analytics, data mining and knowledge discovery, infrastructure, storage, retrieval and search, privacy and security, and relevant applications, practices, tools and evaluation

Our Aim

Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud. Under this paradigm, Data Sciences is the core that drives new research in many areas, from environmental to social. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. We mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation among the complex aspects to be addressed. Data sciences encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it the data available to enterprises, Government or on the Web.

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