IILM International Conference on Operations & Information Technology - 2018 Big Data Analytics for the Digital Era

Event-Big-Data
IILM International Conference on Operations & Information Technology - 2018 Big Data Analytics for the Digital Era 24th February, 2018 Organized By : IILM Graduate School of Management 16, Knowledge Park-2, Greater Noida 201306 Conference Email ID : operationsconference2017@iilmgsm.ac.in The Conference intends is to discuss Innovations, Challenges & Opportunities in

Start

February 24, 2018 - 9:00 am

End

February 24, 2018 - 6:00 pm

Address

IILM Graduate School of Management - 16, Knowledge Park-2, Greater Noida 201306   View map

IILM International Conference on Operations & Information Technology – 2018
Big Data Analytics for the Digital Era
24th February, 2018
Organized By : IILM Graduate School of Management
16, Knowledge Park-2, Greater Noida 201306

Conference Email ID
: operationsconference2017@iilmgsm.ac.in

The Conference intends is to discuss Innovations, Challenges & Opportunities in the field of Big Data Analytics. It aims to bring together Academicians, Researchers and Industry experts.

Call for Abstract

The IILM International Conference on Operations & Information Technology – 2018 with theme on Big Data Analytics for the Digital Era will provide the ideal opportunity to present your projects and experiences to experts in data science, information technology, statistics, business analytics, engineering, statistical research, consultancy and advocacy, database quality control and management. Also, the Conference provides an excellent venue for you to present your research and receive quality feedback. It will also gives you an opportunity to discuss and delineate the latest advancements in Data Analytics and big Data focusing on the development and use of innovative solutions for the businesses.

Objective of Conference

The Conference intends is to discuss Innovations, Challenges & Opportunities in the field of Big Data Analytics. It aims to bring together Academicians, Researchers and Industry experts. It will provide a platform for young scholars to present their research work and interact with experts in the field of Analytics. The conference will facilitate discussions and knowledge sharing among academicians, researchers and practitioners

Important Dates

Last date for Abstract Submission : Jan 30th, 2018
Communication of Acceptance : Feb 5th 2018
Last Date for sending full papers : Feb 12th 2018
Acceptance of full paper : Feb 15th 2018
Conference Date : Feb 24th 2018

Registration Fee

Category India Overseas
Delegates from Industry/NGO 1000 50$
Academician 750 35$
Research/Scholars 500 30$

Mode of Payment (Direct Transfer/DD)
Account No. : 344 688 19594
Bank : State Bank Of India
IFSC Code : SBIN0011475
MICR Code : 110002485
City : Greater Noida
Beneficiary :  IILM, Graduate School of Management
Demand Draft should be in favour of IILM Graduate School of Management, payable at Noida.

Details of Session :

Session details are as follows :

9.30 am – 10.00 am : Open Plenary session
10.00 am – 11.00 am : Panel Discussion on Big Data Analytics
11.00 am – 01.00pm : Papers Presentation
1.00 pm – 2.00 pm : Lunch
2.00 pm – 3.30 pm : Papers Presentation
3.30 pm – 3.45 pm : Tea breaks
3.45 pm – 4.30 pm : Paper Presentation
4.30 pm – 5.00 pm : Closing Plenary session and certificate distribution

The submission could include but is not limited to :

► Big Data and Marketing, Business, and Finance
► Decision support system and Business management
► Expert System and computational Finance
► Data Science, Statistical Models and Practices
► Portfolio Optimization
► Quantitative Method in Finance
► Technology and knowledge Management
► Service Innovation and Management
► System Modeling and Simulation
► Marketing and Retail Analytics
► Business Intelligence, Business Logistics, and Organizational Development
► Customer Analytics
► HR Analytics
► Supply chain Analytics
► Operations Analytics
► Web Analytics, Internet Marketing, and Market Research
► Soft Computing and Machine Intelligence
► Wireless Network, Management, and Technology
► Data Collection, Quality Control, and Database Management
► Marketing Analytics, Database and Information Integration
► Innovation, Research & Development in Information Technology
► Interpretation, Design, and Digital Strategies
► Engineering Economics, Information, and Societies


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