You can check 2016 IEEE International Conference on Big Data (Big Data 2016)

http://cci.drexel.edu/bigdata/bigdata2016/

Big data has large number of dimensions few of them are as follows: "one-pass algorithms for streaming/real-time/IoT data", "software-defined networks for big data", "Big data as a utility computing service such as 'Big Data as a Service on Cloud' " and presently I 'm contributing under the title "Data models for big data applications in the cloud"

Disease Patterns, Sales Patterns and Customer Behaviors, study of weather change, study of Migration of birds and animals,   for that matter, Every study which involves more than a TB of data and uncertain dimensions and facts - falls under big data category. 

Dear Rakesh, take a look to the prestigious Elsevier journal focalized in "Big Data Research". Perhaps you have access to that journal and will found plenty of big data research and applications:

"Big Data Research"

http://www.sciencedirect.com/science/journal/22145796

Enjoy and nice work ! 

http://www.sciencedirect.com/science/journal/22145796

You can look in for Big data in Medical research, Big data in socialMedia, Big data in clouds, 

 Kindly utilize 2016 IEEE International Conference on Big Data (Big Data 2016)

or Big data in Health (epidemiology or disease patterns) they too fall under big data

Dear Rakesh Singh, Below are some issues related to Big Data database technologies that can be developed scientifically: - application of data processing technology in Big Data database systems for modern education 4.0, - improvement of forecasting of natural, climatic, economic, economic, financial, social etc. phenomena based on analyzing large data sets, - analysis of sentiment, opinions of citizens, Internet users regarding brand recognition of companies, customer reviews of specific services and products, views on various topics, citizens' worldview based on the analysis of large collections of information downloaded from various websites, from comments downloaded from social media portals, - analysis of information and marketing services of commercially operating companies that carry out specific analyzes of sentiment, citizens' opinions, Internet users regarding brand recognition, customer reviews of specific services and products etc. on behalf of other companies that purchase specific analytical reports, - analysis of the possibilities of cooperation, synergy, correlation, conducting interdisciplinary research, connecting Big Data database systems with other information technologies typical for the development of the current fourth technological revolution called Industry 4.0, which include technologies such as: cloud computing, machine learning, Internet of Things, Artificial Intelligence, etc. Best wishes

Data collection and advanced processing and analysis of information in Big Data database systems is one of the key information technologies of the fourth technological revolution called Industry 4.0. The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.

I suggest the following questions and research problems in the above topic: Are commercial banks already introducing sentiment analysis conducted on Big Data data collected from social media portals to the standard of customer verification procedures? Inclusion of the sentiment analysis conducted on Big Data collected from social media portals could be an important additional information on the economic and financial situation of the potential client. This type of information can be a significant additional factor of full verification, eg creditworthiness of a potential borrower. I know that some service companies, marketing companies, insurance companies and banks include the sentiment analysis carried out on data collected in Big Data database systems collected from social media portals for verification of potential customers. But is it already becoming a standard or is it only at the design stage for now?

In addition, I suggest the following questions and research problems in the above topic: Will Big Data database technologies be available in the future also for companies from the SME sector? Advanced technologies of digitalization and automation of data processing first find their application in business. Then also in public institutions can be introduced including in the field of e-governance. This also applies to Big Data database technologies, which is applicable in various sectors of the economy, but due to the high investment costs of implementing this technology in the business processes of business entities, so far only large corporations and larger enterprises can afford such technologies. However, in the future, investment costs of implementing tech technologies into business processes should decrease and processing technologies and data collection in Big Data database systems should be available also for smaller companies, including business entities of the SME sector.

Another proposal for a research topic in this field: Will the information collected and processed in the Big Data database systems in future be able to accurately check future climate disasters? In my opinion, information obtained from various research centers, meteorological centers, satellites, etc., then collected and processed in Big Data database systems should help in more and more precise prediction of new, unfavorable weather phenomena, including climatic cataclysms and others. In this way, earlier and in a more planned way, crisis management systems can be organized in the situation when the predetermined flood disaster becomes real and will happen. Gradually increasing computing power of powerful computer servers managing platforms of Big Data database systems, implemented artificial intelligence, increasing number of verified historical data on the overall climate phenomena on Earth will allow in the future more precisely, more accurately determine the level of threats, risk value, predict time, place and scale adverse weather events, i.e. also cataclysms that threaten people's lives.

I propose the following proposal for a research topic in this area: Will future Big Data database systems supported by artificial intelligence be used in precise forecasting in order to verify futurological projections? Currently, it is difficult to define this type of analytic problem. The key issue is forecasting future global problems. It is necessary to collect additional analytical data over the next years, and perhaps in the 21st century, in huge Big Data database systems supported by another generation of artificial intelligence, it will be possible to predict what may happen to the planet Earth in the future.

In addition, I suggest the following questions and research problems in the above topic: Do Big Data companies use Business Intelligence analyzes in enterprises operating in your countries? The Big Data database technology is finding new applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes. Some technology companies produce Business Intelligence platforms for business entities. Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

Another proposal for a research topic in this field: What will be the directions of development of analytical processes of sentiment analyzes on data collected in Big Data database systems in the future? In order to analyze the sentiment on downloaded data from social media portals (such as Facebook, Tweeter, LinkedIn, but also YouTube, Instagram ...) and aggregated in Big Data database systems, it is necessary to use specialized software for extraction and analysis of these data. The quality of the data transferred to, for example, excel sheets depends on the quality of the extraction process carried out with the help of specialized software. Then, the quality of data analysis software in Excel sheets or in systems of computerized analytical platforms depends on the result obtained, the answer to the question given to the collected, initially unstructured data in the Big Data database system. In the future, artificial intelligence may be used for this purpose, and the whole process of purposeful analysis of collected data will proceed in a much more effective, automated manner, less probable errors, will be a cheaper research process and will be carried out much faster even on much larger information collection than current.

I propose the following proposal for a research topic in this area: Will artificial intelligence combined with the analysis of data collected in Big Data database systems be used in automated forecasting of valuations of securities and other assets on capital markets? In the background of the plot of the film "Transcendence" from 2014, directed by Wally Pfister, the topic of analysis is analyzed by a computerized system combining artificial intelligence with human consciousness loaded into a computerized system of artificial intelligence connected to Internet resources and using the resources on its own. This independence also means access to various databases, including internal Big Data database databases belonging to certain corporations, including listed companies that are issuers of securities. The artificial intelligence connected to the Internet, according to a specific strategy, also independently conducts transactions on the market of valuable securities. In addition, it establishes statrtsets offering innovative technologies, which in a short time become large capital companies characterized by a high capitalization of exchange quotations of shares of these companies listed on stock exchanges. The above-presented film "Transcendence" presented above picture of integration of artificial intelligence, human consciousness and Internet resources is a picture of typical science fiction. However, on the other hand, the function of this image is also to inspire to discuss the potential possibilities of integration of the above-mentioned elements into one system of autonomous and working in the Internet resources artificial intelligence, in addition also containing some human feelings. The above image from the movie "Transcendence" became an inspiration to formulate the following question below. The mentioned motif from the movie "Transcendence" looks impressive and convincing in this film mainly because it has a full spectrum of innovation. The use of new, innovative instruments for forecasting specific economic categories usually works until these innovative instruments continue to be innovative, ie until they are disseminated to the majority of participants in specific markets.

In addition, I suggest the following questions and research problems in the above topic: Are there any ongoing work to implement artificial intelligence for the analysis processes of large collections of information collected in Big Data database systems? Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting. Probably in the future, the business analyst will be supported by artificial intelligence. It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities. Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems. However, in what direction will technological progress be realized in this field? In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.

Another proposal for a research topic in this field: In which sectors of the economy, in which types of companies and corporations will develop the most dynamic technologies for analyzing large collections of information in Big Data database systems? The Big Data database technology is finding more and more applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, developing the Big Data database technology for commercial and business purposes. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing. In view of the above, the current question is: In which sectors of the economy, in which types of companies and corporations will be the most dynamically developed technologies for analyzing large collections of information in Big Data database systems.

I propose the following proposal for a research topic in this area: Are there currently developed risk management instruments and models for obtaining, archiving, analyzing and processing data in Big Data systems? In recent years, the field of research and business applications in the field of obtaining, archiving, analyzing and processing data in Big Data database systems has been developing strongly. In many companies, especially in large corporations, integrated risk management systems are built and improved. Integrated risk management systems combine risk management processes in various areas of a company, institution or other organization. One of the areas of risk management, the importance of which in many companies is growing, is risk management in the area of obtaining, archiving, analyzing and processing data in Big Data database systems.

I suggest the following questions and research problems in the above topic: Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generate new business management concepts? At present, in the age of the technological revolution known as the 4.0 industry, new technology management or Internet-based companies are emerging. The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence. Added to this is the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, energy, medical intelligence, etc. On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop. In the context of this problem, many questions arise: What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors? What kinds of innovations will be able to be created in the coming years, in the future based on the integration of the above-mentioned main determinants of the development of the current technological revolution known as Industry 4.0? What kind of new categories of added value may be created in the future if the above-mentioned technological solutions are more involved in the creation of biotechnological, ecological, product and other innovations. Will new technologies be created in this way, with the help of which it will be possible to generate solutions to the problems of excessive exploitation of Earth resources in the process of civilization development? Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology? Is e-management a new concept of managing virtual enterprises or rather managing online technology companies? Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations? Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates the emergence of new business management concepts?

In addition, I suggest the following questions and research problems in the above topic: Are you already familiar with the use of Big Data data analysis in the risk management process in corporations and financial institutions? Large companies, corporations and financial institutions, including banks, are technologically and financially prepared to develop applications for analyzing large data sets collected in Big Data database systems in the process of managing individual categories of banking, financial, including credit, operational, market and IT systems. The main research issue is the study of potential clients, eg potential borrowers in the field of creditworthiness analysis by analyzing data collected in the Big Data database. In the Big Data database system, data on potential clients collected from the Internet from entries, comments, posts contained on social media portals can be collected. If the banks analyze the client's creditworthiness based on sensitive, personal and classified data downloaded from social media portals, then the ethics of this type of analytical process should be considered. This issue of ethics and personal data protection also arises when the insurance company verifies the health of a potential client who submitted an application for life insurance - based on what he writes about himself, he will report his status on social media portals. If the potential client was aware of the fact that he shares personal information with his friends on social media portals only with his friends and the bank, insurance company or other institution uses this secret without using the client's knowledge, then the problem of breaking the basic ethical principles in business arises.

Another proposal for a research topic in this field: To what extent the Big Data data sentiment analysis from social media portals can be used in forecasting the company's development? Large amounts of information downloaded from comments, entries, posts from social media portals are processed in Big Data database systems to determine, for example, consumers' awareness of the offer of products and services of specific companies. This type of information is of great importance for the planning of advertising campaigns informing about the mission, idea, product offer, and the usability features of the company's offer. This type of data may be important for forecasting the changing preferences of consumers regarding the offer of specific companies.

I propose the following proposal for a research topic in this area: How can you use the data processing technologies in the cloud in Big Data database systems for the purpose of creating innovations? If in many research works, for the purposes of conducted scientific research, the analysis of information collected in Big Data database systems is already used, more and more attempts will be made by various research centers to use data processing in the cloud data collected in Big Data database systems. The data mining technology, artificial intelligence, busieness intelligence and other advanced information and analytical technologies will also be added to this.

In addition, I suggest the following questions and research problems in the above topic: Will new data processing technologies in Big Data database systems allow for precise prediction of climate disasters? In my country, more than a dozen years ago or more, there were real winters with snow and frost after the autumn. Whereas last winter, during the last few years it looked like autumn, without snow and positive temperatures. I think that the greenhouse effect, ie the warming of the Earth's climate, has already begun. This is also confirmed by numerous climatic cataclysms and weather anomalies, which in the current year 2018 appear in numerous places on the Earth. In some parts of the Earth there are fires of huge forest areas such as in Scandinavia, California in the USA, Australia, the Iberian Peninsula, Africa, etc. In addition, weather anomalies, e.g. snow and floods in October and November in the south of Europe. In addition, tornadoes in many places on Earth and so on. Perhaps these problems will get worse. It is necessary to improve security systems and anti-crisis services, improve the prediction of these anomalies and climatic cataclysms so that people can, have managed to shelter or cope with the imminent cataclysm. One of the technologies that can help in more precise forecasting of these cataclysms is the processing of large collections of historical and current information on this subject in the cloud computing technology in Big Data database systems.

Dear Colleagues and Friends from RG

Some of the currently developing aspects and determinants of the applications of data processing technologies in Big Data database systems are described in the following publications:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

Can anyone suggest a specific research problem on Big Data that i can work in?

Dr. Mukund Sanglikar

Forecasting the number of costs imposed on a patient

identifying the possibility of a condition in a predisposed person

Predicting the probability of penetration in a banking system