• About Conference
  • Sessions/Tracks
  • Welcome letter

Building on the success of the previous event on International E-Conference on Big Data Analytics, Data Mining, and AIthis year marks the largest Global Conference on Data Science, Data Analytics & Big Data  (Data Science - 2022) on October 26-27, 2022 in Dubai, United Arab Emirates.

This conference is specially organized by the United Research Forum team together with a committee of experts from international universities with the guidance of the Academic Governing Body of URF.

BENEFITS:

  1. Conference Proceedings & Publication:  After the conference, all Data Science - 2022 accepted conference abstracts/papers will be published with ISBN and DOI in the "United Research Forumconference proceedings. 

 

  1. CPD Accredited Event: United Research Forum is now officially committed to being a valuable and knowledgeable partner with “The CPD Group an accredited CPD Provider with Accreditation Number # 778533. Attend in person or online via live stream and earn your 2 CPD Credits/Hour spent in the Educational Activity.

 

Awarding Ceremony:  UR FORUM Awards & Recognition program is dedicated to recognizing individuals and institutions that have set the standard of excellence during the year and are given to the most outstanding researchers of the conference. Click here for more details

We look forward to welcoming you to Data Science - 2022 @ Dubai, United Arab Emirates.

Data Mining Applications in Science, Engineering, Healthcare and Medicine
Data Science and Machine Learning
Data Mining Methods and Algorithms
Big Data in Nursing Research
Big Data Analytics
Artificial Intelligence
Data Warehousing and Security
Data Mining Tools and Software
Big Data Applications, Challenges and Opportunities
Predictive Analytics
Data-driven Analytics and Business Management
Data Mining Tasks and Processes
Big Data algorithm
Data privacy and ethics
Big data technologies
Data Mining analysis
Cloud computing
Social network analysis
Complexity and algorithms
Business Analytics
Open data
Optimization and Big Data
Forecasting from Big Data
New visualization techniques
Search and data mining
Frequent pattern mining
Clustering
IoT and edge computing applications

With a most dynamic approach to event management, Data Science 2022 organized by United Research Forum offer a customized platform for each segment of attendees to present their research and experience. This International Conference features some critical attributes to make it worth attending by CPD accreditations.

Plenary Talks: More than 75 speakers from top universities and healthcare firms present their research and address the attendees covering every aspect of the domain.

Networking: Global gathering with a melange of young researchers to noble laureates, the conference provides ample opportunity to meet, greet and discuss during the conference

Conference Scientific Committe

Dr Sanja Seljan

University of Zagreb,
Croatia

Dr David Pastor Escuredo

Universidad Politécnica de Madrid, Madrid,
Spain

Conference Speakers

Md Azher Uddin

Heriot-Watt University Dubai
UAE

Ana Len-Gmez

University of Málaga
Spain

Dr Sanja Seljan

University of Zagreb,
Croatia

Dr David Pastor Escuredo

Universidad Politécnica de Madrid, Madrid,
Spain

Sessions

Datamining is the process of discovering patterns to extract information with an intelligent method from a data set and transform the information into a comprehensible structure for further use. Data mining is the detailed examination step of the "knowledge discovery in databases" process. These applications relate Data mining structures in genuine cash related business territory examination, Application of data mining in positioning, Data mining and #WebApplication, Engineering data mining, Data Mining in security, Social Data Mining, #NeuralNetworks and Data Mining, Medical Data Mining, Data Mining in Healthcare

Machine learning is a supplication of artificial intelligence (AI) that provides systems the ability to automatically learn and better from happening without being exact programmed. Machine learning is center of attention the expansion of computer programs that can approach data and use it to learn for individually. The process of learning starts with observations or data, such as examples, shortest experience, or instruction, in order to look for plan in data and make better decisions in the future founded on the examples that we provide. The primary aim is to allow the computers learn automatically without human interfere and adjust actions accordingly.

Data mining #structures and calculations an interdisciplinary subfield of #programming building is the #computational arrangement of finding case in information sets including techniques like Big #Data Search and Mining, Data Mining Analytics, High execution information mining figuring's, Methodologies on sweeping scale information mining, Methodologies on expansive scale information mining, Big Data and Analytics, Novel Theoretical Models for Big Data.

With advances in technologies, nurse scientists are increasingly generating and using large and complex datasets, sometimes called “BigData,” to promote and improve Health Conditions. New strategies for collecting and detailed examination large datasets will allow us to better understand the biological, genetic, and behavioural underpinnings of health, and to improve the way we prevent and manage illness

Big data analytics probe and analyse huge amounts of data to i.e., big data - to uncover hidden patterns, unknown co-relations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Operate and carry by specialized #analytics systems and #software, big data analytics can lay the way to various business benefits, including new revenue opportunities, more effective marketing, improved operational efficiency, competitive advantages and better customer service

In computing, a #DataWarehouse and Security, also known as an #EnterpriseDataWarehouse (EDW), is a system used for reporting and data analysis and is considered a central component of business #intelligence. Data Warehouse or Enterprise Data Warehouse is a central repository of integrated data from one or more disparate sources.

Information mining undertaking can be shown as a data mining request. A data mining request is portrayed similarly as the data mining task first. This track joins complete examination of mining figuring’s, Semantic-based Data Mining and Data Pre-planning, Mining on data streams, Graph and sub-outline mining, Statistical Methods in Data Mining, Data Mining Predictive Analytics. The basic calculations in information mining and investigation shape the theory for the developing field of information science, which incorporates robotized techniques to examine examples and models for a wide range of information, with applications widening from logical revelation to business insight and examination.

Big data has increased the demand of information management so much that most of the world’s big software companies are investing in software firms specializing in data management and analytics. According to one rough calculation, one-third of the globally stored information is in the form of #alphanumeric text and #still image data, which is the format most useful for most big data applications. Since most of the data is directly generated in digital format, we have the opportunity and the challenge both to influence the creation to facilitate later linkage and to automatically link previously created data. There are different phases in the Big Data analysis process and some common challenges that underlie many, and sometimes all, of these phases.

Information mining undertaking can be shown as a data mining request. A data mining request is portrayed similarly as the data mining task first. This track joins complete examination of mining figuring’s, Semantic-based Data Mining and Data Pre-planning, Mining on data streams, Graph and sub-outline mining, Statistical Methods in Data Mining, Data Mining Predictive Analytics. The basic calculations in information mining and investigation shape the theory for the developing field of information science, which incorporates robotized techniques to examine examples and models for a wide range of information, with applications widening from logical revelation to business insight and examination.

Big data is data of wide range that it does not fit in the main memory of a single machine, and the need to process big data by organised algorithms arises in machinelearning, scientific #computing, #signalprocessing, Internet search, network traffic monitoring and some other areas. Data must be processed with advanced tools (analytics and algorithms) to make meaningful information.

In our #e-world, information #protection and #cyber security have gotten to be respective terms. In this business, we have a commitment to secure our customer's information, which has been acquired as per their permission exclusively for their utilization. That is an all-important point if not promptly obvious. There's been a ton of speak of late about Google's new protection approaches, and the discussion rapidly spreads to other Internet beasts like Facebook and how they likewise handle and treat our own data.

 

 

Big Data is the name given to huge amounts of data. As the data comes in from a variety of sources, it could be too diverse and too massive for conventional technologies to handle. This makes it very important to have the skills and infrastructure to handle it intelligently. There are many of the big data solutions that are particularly popular right now fit for the use

Data mining can be defined as processing and analyzing data from different perspectives and finally concluding it as useful information available for clients. Neural network analyses, classification and regression trees, generalized linear models are some of the techniques used for data mining.

Cloud computing is the delivery of computing services—servers, storage, databases, #networking, software, analytics, and more—over the Internet (“#the cloud”).  Cloud computing relies on sharing of resources to achieve coordination and economies of scale, similar to a public utility. Companies offering these computing services are called #cloud providers and typically charge for cloud computing services based on usage.

#Social network analysis (SNA) is the advancement process of looking at #social structures through the use of networks and graph theory. It characterizes networked structures in terms of #lumps (individual actors, people, or things within the network) and the #ties, #edges, or #links (relationships or interactions) that connect them.

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Registration


Registration Includes

  • Publish Conference Proceedings with ISBN & DOI Number
  • Encouraged to publish full length articles in Supporting Journals
  • Earn CPD Credits
  • Conference Kit (Conference Proceedings book, Bag, Badge, Notebook, Pen)
  • Admission to the Exhibition Halls
  • Admission to the Plenary Programme and Global Networking Forum

Benefits of Joining Conference

  • Encouraged to publish full length articles in Supporting Journals with discounted APC charges
  • Opportunity to join as Session Chair, Member of Scientific and Organizing Committee
  • Best presentation awards
  • Get Opportunity Collaborate with United Research Forum
  • Avail discount on upcoming United Research Forum Events
  • 50% discount on United Research Forum Membership
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