Registrations are invited for Online FDP on Big Data Analytics with Multi-Criteria Decision-Making Method on 24-28 September 2021. The last date of registration is 20 September.
About the Course
Multiple Criteria Decision Making (MCDM) is an important area of Operations Research, dealing with decision making problems. As big data analysis towards industrial applications is one of the current issues of Industry 4.0, MCDM methods play a big role as front end of the said big data analytics with traditional data analytics techniques thus comprising various types of hybrid models. Implementation of hybrid models in the industry level are labelled as emerging useful methods for evaluating and improving alternatives.
With the advent of the gradual development of information technology and the growth of the technology pertaining to data analysis, machine learning oriented data envelopment analysis with resilient model can address academic as well as innovative research & development program of any organizations.
Therefore, data-driven MADM models can integrate machine learning/data mining and MCDM methods to help decision-makers to recommend or select the best alternative for related problems of various organizations/industries. Different Government/non-government organizations, educational institutes, and business entities around the globe persistently carryout experimentations, surveys, and analyses on numerous issues.
As a result, a huge amount of intellectual resources (data, information, and/or knowledge) has been accumulated and stored in numerical, textual, graphical, audio, and video forms. In general, when we link and access such intellectual resources through the Internet, we call it “big data.”
The fact of the matter is that big data will serve as a source of decision-relevant information while making both formal and informal decisions. The main focus of this course is to address this hybridization as a combined platform of big data analytics with MCDM methodologies to establish new decision-making models in management sciences.
- Multiple-criteria decision-making (MCDM)
- Data mining
- Data driven decision making
- Machine learning
- Knowledge-based systems
- Hybrid multiple-criteria decision-making methods
- Intelligent decision support systems
- Optimization techniques
- Soft computing
- Application of MCDM methods
The programme is open to Faculty members, Research scholars, PG students, UG students of all Engineering colleges and other allied disciplines in India.
- Interested candidates can register via this page.
- Registration fee: Rs. 500
Dr. Sujit Das,
Click here to view the official notification of Online FDP on Big Data Analytics with Multi-Criteria Decision-Making Method by NIT Warangal.
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