$899 – $999

2nd Internat'l Conference On Big Data,Data Mining & Machine Learning (gic)A

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Berlin

To Be Announced

10115 Berlin

Germany

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Event description
2nd International Conference On Big Data, Data Mining & Machine Learning

About this Event

ABOUT CONFERENCE

July 28-29, 2020 | Berlin, Germany

Gavin Conference Invites you to participate in 2nd International Conference on Big Data, Data Mining and machine learning, to be held in Berlin, Germany during the July 28-29, 2020. Based On this Scientific occupation, Organizing Committee invites the participants from all over the globe to take part in this annual flagship conference with the theme “Modern Technologies in Big Data and Feature Challenges in Data Mining”. Data Mining 2020 aims in proclaim knowledge and share new ideas amongst the professionals, industrialists and students from research areas of Big Data, Data Mining and Machine Learning to share their research experiences and indulge in interactive discussions and technical sessions at the event. The Conference will also have a space for companies and/or institutions to present their services, products, innovations and research results.

Target audience for the conference:

  • Data Base engineers
  • Scientists/Researchers
  • Professors
  • President/Vice president
  • Chairs/Directors
  • Data Scientists
  • Students
  • Experts and Delegates
  • Exhibitors and Sponsors
  • Research Associates
  • Business Entrepreneurs
  • Training Institutes
  • Manufacturing Medical Devices Companies
  • World-renowned speakers, the most recent techniques, tactics and the newest updates along with the Advances in the fields of Big Data, Data Mining and Machine Learning.

Why to Attend?

With members from around the world focused on learning about Big Data and Data Mining, this is your single best opportunity to reach the largest assemblage of participants from all over the globe. Conduct demonstrations, distribute information, meet with the current and potential customers, make a splash with a new product line, and receive name recognition at this 2-day event.

Come be Part of it...!

Conference Highlights

• Data Mining Applications in Science, Engineering, Healthcare

and Medicine

• Big Data Technologies

• Big Data Analytics

• Big Data Applications, Challenges and Opportunities

• Data Mining Methods and Algorithms

• Data Mining Tools and Software

• Data Mining Tasks, Processes and Analysis

• Data Mining Cluster Analysis

• Data Mining for Cyber Security

• Data Mining and Machine Learning

• Artificial Intelligence

• Cloud Computing & E-commerce

• Internet of Things (IOT)

• Biostatistics Applications

• Statistical Methods

• Complexity in data structure and algorithm

• Renewable Energy Forecasting with Big Data

• Business Analytics

• Social Network Analysis

AGENDA

Please see picture below

ORGANIZING COMMITTEE

Parameshwar P Iyer

Professor Indian Institute of Science, India

Biography:

Prof Dr Parameshwar P Iyer has earned his Bachelors, Masters, and Doctoral degrees from IIT Kharagpur, Universities of Illinois at Urbana-Champaign, and California at Davis. He has been on the Faculties at Rutgers, the State University of New Jersey (in the USA), and at the IIT Kharagpur, IIM Kozhikode, and IISc Bangalore (all in India), where he is currently pursuing research, teaching, and consulting in Managenet of Innovation, Projects, and Entrepreneurship. He has published more than 50 papers in reputed journals and has been serving as an editorial board member of repute in a number of Interanational and National peer-reviewed Journals

Research Interest:

Project Management, Entrepreneurship, Knowledge Management, and Management of Innovation, Intellectual Property, and Technology Transfer

Ergi Sener

Managing Director & CDO IdeaField, Holland

Biography:

Ergi Sener, who is indicated as one of the 20 Turkish people to be followed in the field of technology (*), received a BS in Microelectronics Engineering in 2005 and double MS in Telecommunications & Management in 2007 from Sabanci University. He is pursuing a PHD degree in Innovation. He worked at Garanti Payment Systems, Turkcell and MasterCard all for managing new businesses and innovation. Her is currently acting as the CEO of Bonbon Tech, the biggest IoT focused new generation analytics company of Turkey. He is also acting as the CDO of Holland based incubation center, IdeaField.

Research Interest:

AI, big data analysis, data mining, predictive analysis?

Prof Petra Perner

Director, Institute of Computer Vision and applied Computer Sciences, Germany

Biography:

Petra Perner (IAPR Fellow) is the director of the IBaI. She received her Diploma degree in electrical engineering and her PhD degree in computer science for the work on “Data Reduction Methods for Industrial Robots with Direct Teach-in-Programing”. Her habilitation thesis was about “A Methodology for the Development of Knowledge-Based Image-Interpretation Systems". She has been the principal investigator of various national and international research projects. She received several research awards for her research work and has been awarded with 3 business awards for her work on bringing intelligent image interpretation methods and data mining methods into business.

Research Interest:

Image analysis and interpretation, machine learning, data mining, big data, machine learning, image mining and case-based reasoning

Shunpu Zhang

Chair and Professor of Statistics, University of Central Florida, USA

Biography:

Shunpu Zhang is currently Chair of the Department of Statistics. He received his Ph.D. in statistics from the University of Alberta in 1997. His research interests cover a wide range of topics which include general statistical methodology, empirical Bayes data analysis, bioinformatics, large scale multiple hypothesis testing and its application to genomics, statistical methods related to influenza virus genotyping and developing computationally intensive algorithms for analyzing biological and health survey data. He has also worked in big data analytics.

Research Interest:

General statistical methodology, empirical Bayes data analysis, bioinformatics, large scale multiple hypothesis testing and its application to genomics, statistical methods related to influenza virus genotyping

Yedidi Narasimha Murty

BI Solutions Architect Electronic Arts, USA

Biography:

Yedidi Narasimha Murty obtained Ph.D. in Applied Mathematics from Andhra University, India in 1998 with Computational Fluid Dynamics as specialization. Yedidi continued his research work at Andhra University with CSIR fellowship till March-2000. Yedidi worked as Research Associate with CSIR fellowship at Indian Institute of Technology (IIT) Madras. Since December-2005, Yedidi is Architecting Data warehousing solutions for clients like – Optus-Australia, Ford, Travelers, BestBuy, GE Commercial Finance, PayPal, Bank of the West. Yedidi is currently working with Electronic Arts as BI Solutions Architect. He designed and modeled several solutions on Risk, Payment Transaction processing that is useful for the data driven business enablement. He is editorial board member for “World Journal of Mechanics” and “Fluid Mechanis: Open Access”. He reviewed 50+ research papers for various journals

Research Interest:

Convection, non-newtonian fluids, porous media, heat and mass transfer, stability, numerical solutions, optimization, computational fluid dynamics, Big data, Data mining, Data Analytics & Business Intelligence

Fairouz Kamareddine

Heriot-Watt University, UK

Biography:

Fairouz Kamareddine has been involved in a number of worldwide consultancy assignments, especially on education and research issues working for United Nations and the EU. Her research interest includes Interface of Mathematics, Logic and Computer Science. She has held numerous invited positions at universities worldwide. She has well over 100 published articles and a number of books. She has played leading roles in the development, administration and implementation of interdisciplinary, international, and academic collaborations and networks.

Research Interest:

Interface of Mathematics, Logic and Computer Science, Big Data, Data Mining

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Date and Time

Location

Berlin

To Be Announced

10115 Berlin

Germany

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Refund Policy

No Refunds

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