Nowadays the Bioinformatics play an outstanding role in our life, it is recommended to choose between either Sequential Pattern Mining or Graph Pattern Mining. Because most of diseases are modeled as graphs as well as sequences are commonly used in the medical science. You have an opportunity to find suitable datasets to evaluate your model and also you can help mankind in the future

This is the question only you can answer. You have plethora of data to work with from different disciplines - decide on a topic that YOU have passion about, that you can analyze and make meaningful discoveries and provide relevant input for business decisions if BI is what you are looking for.

Hi,

Try to develop Real time Applications..tools used by analytical findings from data. Like Business Intelligence,Healthcare,Agriculture,Banking,Whether monitoring and control,Stocks..

Best Wishes..

Prof Oyku Isik and Prof Anna Sidrova - Business Intelligence Success: The role of decision environment

The above discussion inspired me to the following considerations:

The development of information processing technology in the era of the current technological revolution defined by Industry 4.0 is determined by the application of new information technologies in the field of e-commerce and e-marketing.

The current technological revolution described 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, Business Intelligence and other advanced data mining technologies.

Based on the development of the new technological solutions in recent years, dynamically developing processes of innovatively organized analyzes of large information sets stored in Big Data database systems and information processing in the cloud for applications in such areas as: machine learning, Internet of Things, artificial intelligence , Business Intelligence. Added to this are additional areas of application of advanced technologies for the analysis of large data sets such as Medical Intelligence, Life Science, Green Energy, etc. Processing and multi-criteria analysis of large data sets in Big Data database systems is made according to the V4 concept, ie Volume (meaning number of data), Value (large values of specific parameters of the analyzed information), Velocity (high speed of new information appearing) and Variety (high variety of information).

The advanced information processing and analysis technologies mentioned above are used more and more often for marketing purposes of various business entities that advertise their offer on the Internet or analyze the needs in this area reported by other entities, including companies, corporations, financial and public institutions. More and more commercial business entities and financial institutions conduct marketing activities on the Internet, including on social media portals. More and more companies, banks and other entities need to conduct multi-criteria analyzes on large data sets downloaded from the Internet describing the markets on which they operate, as well as contractors and clients with whom they cooperate. On the other hand, there are already specialized technology companies that offer this type of analytical services, develop custom reports, which are the result of such multicriteria analyzes of large data sets obtained from various websites and entries and comments on social media portals.

Therefore, for example, I propose the following research question: whether through the use of information technologies in the analytical processes such as database technologies for collecting and processing, analyzing large data sets in Big Data database systems, in cloud computing, using the Internet of Things, artificial intelligence, economic analyzes carried out on computerized Business Intelligence platforms - it is possible to effectively analyze much larger amounts of economic data concerning individual companies, their contractors and the economic, market and macroeconomic environment than before, ie a few years ago when these technologies were not used economic, fundamental and financial, indicative analyzes, etc.?

You can think of topics in Neurology , Epilepsy and movement disorders

The analytics conducted on computerized Business Intelligence platforms is one of the key advanced information technology technologies of the fourth technological revolution, known as Industry 4.0. The current technological revolution described 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.

The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, including logistics management.

In my opinion, the use of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services, is currently growing.

The analytics conducted on large data sets conducted in the cloud computing on Business Intelligence computerized platforms in Big Data database systems makes it particularly easy to identify opportunities and threats to business development, allows for quick generation of analytical reports on selected issues in the economic and financial situation of the business entity. In this way, the generated reports can be helpful in the processes of enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services.

In addition, I propose the following research questions regarding the issues of Business Intelligence, Data science, Data engineering, etc .: - What future applications of Business Intelligence analytics will be developed in Big Data database systems in company logistics management?

- Does the development of business analytics and new information technologies support risk management processes?

- Which information technologies Industry 4.0 and in the field of Business Intelligence most support the process of analyzing the economic and financial situation and business management?

- How do Business Intelligence research tools and Big Data database systems support statistical data analysis?

- What will be the future applications of prediction analytics for the development of complex processes conducted on computerized Business Intelligence platforms in conjunction with Big Data database technology and Data Science research techniques?

- Banking + Internet teleinformation technologies + Internet of Things + Artificial Intelligence + Big Data + Business Intelligence + Security = mobile smart e-banking 4.0?

- Is the combination of the currently developed technologies of Industry 4.0, ie above all advanced information technologies: Business Intelligence + Internet of Things + Learning machines + Internet + Big Data and Internet ICT and their application in the field of production logistics will lead in the next years to the emergence of advanced analytics supporting production logistics processes, including the development of production e-logistics?

- Is the combination of currently developed information and information technologies, ie mainly advanced information processing technologies: Big Data + Business Intelligence + Internet of Things + Learning machines + Artificial intelligence and Internet ICTs will lead in the next years to the emergence of advanced industry 5.0 analytics?

Best wishes

In this era of industry 4.0, in which big data and blockchain are emerging , it is very pertinent to work on these areas instead of opting on conventional approaches. You may further explore big data analytics in your upcoming study.

I think BI.

I am working on technologies to handle complex data like MongoDB and its real time application in handling student scholarship data. If this interests you.

Following..

Data preparation and modelling

Hi Lionel,

"Software cost estimation" could be an interesting topic since it is an important and complicated process. Many companies still using COCOMO-like old fashion methodologies. Good AI model could be a strong alternative.