8th Edition of International Conference on

Big Data & Data Science

Theme: Exploring Future Technologies for Data Mining & Analysis!!

Event Date & Time

Event Location

Barcelona, Spain

16 years of lifescience communication

Previous Conference Performers / Professionals From Around The Globe

Conference Speaker

Petra Perne

Institute of Computer Vision and applied Computer Sciences
Germany

Conference Speaker

Fred Jacquet

Evangelist
France

Conference Speaker

Fuad Aleskerov

National Research University Higher School of Economics
Russia

Conference Speaker

Pierre Hansen

GERAD and HEC Montréal
Canada

Conference Speaker

Morgan C. Wang

University of Central Florida
USA

Conference Speaker

Pavel kisilev

Huawei Research / Toga networks
Israel

Conference Speaker

Alla Sapronova

Uni Research
Norway

Conference Speaker

Fairouz Kamareddine

Heriot-Watt University
UK

Conference Speaker

Bennett B. Borden

Drinker Biddle & Reath
USA

Conference Speaker

Giovanni Rossi

University of Bologna
Italy

Conference Speaker

Sumit Pal

Independent Consultant (Architect, Developer) Big Data & Data Science
USA

Conference Speaker

Jenny Lundberg

Linnaeus University
Sweden

Tracks & Key Topics

Big Data 2019

About Conference

EuroSciCon is organizing meeting 8th Edition of International Conference on Big Data & Data Science 2019 is scheduled from March 04-05 at Barcelona, Spain. EuroSciCon is the UK based independent life science Events Company with predominantly business and academic client base.

The 2019 meeting promises to be a dynamic and informative event and going to explore the issues on work related factors,  innovations and integrated approaches towards data mining & analysis, the speakers are a multidisciplinary gathering of globally perceived specialists that speak on the Data Mining with a theme on Exploring Future Technologies for Data Mining & Analysis!!!

This is 2-day Meeting and you can participate in a number of educational formats including General Sessions, Poster Presentations, and Workshops/Symposium, Meet-the-Professor Sessions, Oral Presentations and other interactive and informal exchanges.

Topics will cover the latest advances in Big Data Analytics, Big data technologies, Big Data algorithm, Big Data Applications, Artificial Intelligence and many more.

We trust you will discover the Meeting beneficial, enlightening and agreeable. We want to thank all EuroSciCon Members and participants whose commitments and cooperation have been basic to the accomplishment of the association!!

Sessions/Tracks

 
Data analytics has become much easier after getting integrated with cloud computing. It also helped in making business more effective and the combination of both cloud computing and data analytics has helped the businesses to store, interpret, and process their big data to better meet their clients' needs. Thus cloud computing has become very important part in Data Analytics.
 
Big data analytics in the cloud
Big data analytics technologies and tools
Big data analytics uses and challenges
New tools to visualize and interrogate data
Big Data Analytics in Healthcare and Medicine
Market basket analysis and pricing optimization 
 
 
Huge information is so vast that it doesn't fit in the fundamental memory of a Unique machine, and the need to prepare huge information by productive calculations emerges in Internet world, system activity checking, machine learning, experimental figuring, signal handling, and a few different boundaries.
 
Data Stream Algorithms
Randomized Algorithms for Matrices and Data
Algorithmic Techniques for Big Data Analysis
Models of Computation for Massive Data
The Modern Algorithmic Toolbox
 
 
The volume of data is expanding fast in bioinformatics research. Big data sources are no longer limited to particle physics experiments or search-engine logs and indexes. Multimedia data makes up about 2/3rd of internet traffic, provide unprecedented opportunities for understanding and responding to real world situations and challenges.
 
Machine Learning & role in Biology
Discovery of molecular subtypes of cancers
Supervised Mining of “Big Data” Without Programming
Challenges in Bioinformatics
Mobile communications and networks
Heterogeneous data sources
Cognition
Mobile data analytics
Computing efficiency
DNA sequencing
Genome annotation
Human bioinformatics
Structural informatics
 
 
Data mining is a fast-expanding field with great strengths. This blast in the measure of electronically put away information was increased by the achievement of the social model for putting away information and the improvement and developing of information recovery and control innovations.
 
System Architecture
Big Data Characteristics
Prospects & Challenges in Online Data Mining
Data Mining Challenges with Big Data
Research Initiatives and Projects
Efficiency and Scalability
 
 
Data visualization enables decision-making to see analytics presented by visually so that they can grasp difficult concepts or identify new patterns. Data visualization software plays an important role in big data and advanced analytics projects.
 
Data Analysis in visualization
Frame work for flow visualization
System aspects in visualization
Techniques for data visualization
Conventional Data Visualization Methods
Challenges of Big Data Visualization
Future Trends in visualization
 
 
Deep-Learning using Artificial Neural Networks is one of the popular methods for extracting information from complex datasets. Deep-learning is capable of more creating complex models than traditional probabilistic machine learning techniques. Python and Redis are the core supporting tools of this guide.
 
Cybernetics
Artificial creativity
Artificial Neural networks
Adaptive Systems
Ontologies and Knowledge sharing
Image recognition
Visual art processing
Drug discovery & toxicology
Neuroscience
 
 
High performance computing is the domain that deals with transforming those requests into a instruction set that can be parallelized by your out-of-order CPU in order to achieve high throughput. It depends on sharing of assets to accomplish rationality and economy of scale, like a utility over a system.
 
Modern Computer Architectures
Programming and Tuning Software
Single-processor Computing
Parallel computing
Computer Arithmetic
Applications in HPC for Big Data
 
 
Machine learning is a part of data science which mainly focuses on writing algorithms in a way such that machines are able to learn on their own and use it to tell about new dataset whenever it comes. Machine learning uses the power of statistics and learns from the training dataset. It is the interesting data-driven technique that helps organizations to make better decisions and positively affect the growth of any business.
 
Machine learning algorithm
Texture image classification
Supervised learning
Unsupervised learning
Dashboards and BI
Linear Regression
Logistic Regression
Bayesian network and naïve Bayes
Neural network
 
 
Open science philosophy make a modification in the culture of research in developmental neuroscience it will increase the range of discovery and create meaningful change for children, families and communities when and where they need it most.
 
CODATA(committee on data for science and technology)
Technology and tools in open science
Open development and sustainability
Extensible Framework for Analysis of Big Data
Preserving Privacy of Big Data
Challenges in open science
 
 
 Hadoop also provides Hive and Pig Latin, which are high-level languages that generate Map Reduce programs. Hadoop focuses on moving code to data instead of vice versa. The client (Name Node) sends only the Map Reduce programs to be executed, and these programs are usually small (often in kilobytes). These programs may process data stored in different file and database systems.
 
Apache hadoop
HDFS(Hadoop Distributed File System)
Hadoop YARN
Hadoop MR
Hbase
Strom
Apache Pig
Hive
Data lakes
NoSQL data base
 
 
 It indicates the significant relationships between dependent variable and independent variable. It indicates the strength of impact of multiple independent variables on a dependent variable. Regression analysis also allows us to compare the effects of variables measured on different scales, such as the effect of price changes and the number of promotional activities. 
 
Polynomial Regression
Stepwise Regression
Ridge Regression
Lasso Regression
Elastic Net Regression
 
 
The craft of  huge data integrate Big Data Analytics in Enterprises, Big Data Trends in Retail and Travel Industry, Financial, clinical and social protection, Regulated Industries, Biomedicine, Multimedia and Personal Data Mining.
 
Banking and Securities
Communications, Media and Entertainment
Education
E-Government
International development
Manufacturing and Natural Resources
Retail and Whole sale trade
Transportation
Energy and Utilities
Web and digital media
Travel industry
Healthcare Providers

Market Analysis

  The worldwide income for big data and business analytics will raise from $130.1 billion in 2016 to more than $203 billion in 2020, at a compound annual growth rate (CAGR) of 11.7%. In addition to this the production will be the major share in big data and business analytics results (nearly $17 billion in 2016), banking will see the fastest spending growth.

 

The statistic shows a revenue forecast for the global big data industry from 2011 to 2026. In 2017, the source of project has the global big data market size to grow to just under 34 billion U.S. dollars in revenue.

The market is rapidly becoming and developing in area of focus across numerous end-use industries. This technology used in substantial values by providing useful information; enable organizations to manage large block of data effiectively. With the help of these solutions companies obtain both efficiency and quality will manage large volume of raw information, ultimately result in significant cost reduction.

In the recent decades, the development in information and communications technologies introduces new life for enterprise marketing. For example, barcode technology and the emergence of online stores greatly enhance the efficiency of the enterprise because of which company managers are beginning to face the enormous data. However, the data and business profits are not directly proportional. Unfortunately, the human brain can’t handle so much data. In the meanwhile, data mining technology becomes very mature in theory. The technology-oriented applications for enterprise decision makers with a new perspective to look a t market. Those advanced technologies let enterprises obtain a lot of resources from different channels, and use those effective tools to translate data into unlimited opportunities. This is done by analyzing and making correct decisions, which help in improving operational efficiencies, risk mitigation and cost reduction.

Learn More

USA Universities

The Georgia Institute of Technology | George Mason University | EuroSciCon | University of Maryland University College | University System of Maryland | Data Analytics Conferences |  University of California, San Diego - UC San Diego X. | Big Data ConferencesEuroSciCon ConferencesUniversity of Illinois Springfield | Lewis University | Business Intelligence ConferencesUniversity of Michigan–Dearborn | The City University of New York | Johnson & Wales University | University of Wisconsin Madison | University of Chicago | St. John's University | Data Mining ConferencesIllinois Institute of Technology | Rowan University | University of New Haven | Clarkson University | Pratt Institute | Utica College | Villanova University | EuroSciCon |

European Universities
 
Jacobs University | GISMA Business School | IESEG School of Management Lille – ParisBusiness Intelligence Conferences | Marbella International University Centre | ESAIP Graduate School of Engineering | EuroSciCon | Data Analytics Conferences | University of StirlingEuroSciCon Conferences | University of Westminster - Faculty of Science and Technology | University of Tampere | University of Amsterdam |  Data Analytics Conferences | Higher School of Economics | Tilburg University | Glasgow Caledonian University - The School of Engineering and Built Environment | Big Data Conferences | St. John's University | University of Hildesheim. | Technical University of Munich | University of MannheimData Mining Conferences | RWTH Aachen University | Humboldt UniversityBusiness Intelligence Conferences | Technische Universität Berlin | Universität Hamburg | EuroSciCon |
 
Australian & New Zealand Universities
 
 
Big Data Societies
 
Advanced Analytics Institute | University of Technology, Sydney | National Center for Data Mining (NCDM) at the University of Illinois at Chicago, Germany | American Association of Engineering Societies | American Society for Engineering Education | National Society of Professional Engineers | Institution of Engineers, Bangladesh |  Data Analytics Conferences | Business Intelligence Conferences | Bangladesh Computer Society | Chinese Society for Electrical EngineeringComputer Society of India, Society of EMC Engineers(India)Big Data Conferences | Japanese Union of Scientists and Engineers | Saudi Council of EngineersData Mining Conferences | European Federation of National Engineering AssociationsEuroSciCon Conferences | Society of Professional Engineers UK, New Zealand Computer Society | Society of Professional Engineers UK Germany | Big Data Europe Empowering Communities with Data Technologies EuropeData Mining Conferences | National Centre for Data Mining ChicagoEuroSciCon Conferences | Web Analytics Association Florida | SIAM society for industrial and applied mathematics | United States IAENG Society of Data Mining Hong Kong |  Data Analytics Conferences | IEEE Computer Society United StatesData Mining Section of INFORMSBig Data Conferences | EuroSciCon Conferences | United States International Institute for Analytics Oregon | The International Machine Learning Society GermanyInternational Institute for Business Analysis, Ontario | European Knowledge Discovery Network of Excellence Germany | EuroSciCon | Business Intelligence Conferences |
 
Big Data Conferences
 
5th International Conference on Big Data Analysis and Data Mining 20-21 June 2018 Rome, Italy | 6th International Conference on Big Data, Knowledge Discovery and Data Mining August 06-07, 2018 Abu Dhabi, UAE | EuroSciCon | Big Data Innovation, Data Mining and Analytics Summit August 20-21, 2018 Holiday Inn Singapore Atrium, Singapore | EuroSciCon Conferences | Computer Science, Machine Learning and Big Data Analytics August 30-31, 2018 Dubai, UAE | International conference on Data Analysis and Cloud Computing September 06-07, 2018 London, United Kingdom | Big Data Conferences |  Data Analytics Conferences | 7th International Conference on Big Data Analytics & Data Mining September 26-27, 2018 Chicago, Illinois, USA | Business Intelligence Conferences | 2nd International Conference on 3D Printing Technology and Innovations March 19-20, 2018 London, UK | EuroSciCon Conferences | International Summit on Conventional and Sustainable Energies March 30-31, 2018 Orlando, Florida, USA | 5th International Conference on Automation and Robotics April 16-17, 2018 Las Vegas, Nevada, USA | 4th International Conference and Expo on Automobile Engineering and Design May 11-12 2018, Tokyo, Japan  | International Summit and Expo on Optical Fibre Communications May 30-31 2018 Auckland, New Zealand | Data Mining Conferences |  9th Euro Biosensors & Bioelectronics Congress September 13-14, 2018 London, UK | Business Intelligence Conferences | 2nd World Congress on Wind & Renewable Energy June 14-15, 2018 London, UK | EuroSciCon Conferences | 4th International Conference and Exhibition on Satellite & Space Missions June 18-20, 2018 Rome, Italy | Big Data Conferences | European Conference on Computer Science & Engineering June 21-22, 2018 Oslo, Norway |  Data Analytics Conferences | Automobile 2018 June 21-22, 2018 Paris, France | Data Mining Conferences | International Conference on Civil & Structural Engineering June 21-22, 2018 Paris, France | 6th Global Summit on Artificial Intelligence and Neural Networks October 15-16, 2018 Helsinki, Finland | 5th World Machine Learning and Deep Learning Congress August 30-31, 2018 Dubai, UAE | 4th International Conference and Business Expo on Wireless, Telecommunication & IoT May 28-29, 2018 at Park Inn Hotel, London, UK | EuroSciCon |
 
Big Data Related Journals
 
 
Big Data Job Opportunities
 
Big Data Architect | Core java with Big data Resource | Big Data Developer | Big Data Transformation Developer Jobs | Big Data Software Engineer Jobs | Big Data Developer Jobs | Big Data & DWH Engineer JobsData Mining Conferences | Big Data & Analytics Jobs | Big Data Engineer JobsSenior Consultant Big Data Jobs | Software Developer Intern Big Data/Machine Learning Jobs |  Data Analytics Conferences | EuroSciCon | Head of Big Data & Artificial Intelligence JobsBusiness Intelligence Conferences | Data Scientist JobsEuroSciCon Conferences | Big Data Conferences | Engineer IoT, Big Data & Data Science SBB Telecom Jobs | MS BI/Big Data Unit Manager Jobs  | Senior Data Scientist | DevOps Engineer - Big Data and Cloud Services Jobs | BI (Business Intelligence) Developer Jobs | Chief Data Scientist Jobs | Software Engineering Intern Jobs | Senior Data Engineer Jobs | EuroSciCon | Data Analytics Conferences|
 
Big Data Companies
 

 

Media Partners/Collaborator

A huge thanks to all our amazing partners. We couldn’t have a conference without you!

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Sponsors/Exhibitors

A huge thanks to all our amazing partners. We couldn’t have a conference without you!