Online / Physical Event

dataanalytics 2021


Event Date & Time

Event Location

Paris , France

Program Abstract Registration Awards

18 years of lifescience communication

Performers / Professionals From Around The Globe

Tracks & Key Topics

DataAnalytics 2021


EuroSciCon extends its welcome to International conference on BIG DATA, 3D PRINTING & AI during November 23-24 2019, Webinar with a theme “Big Data, 3D Printing and Artificial Intelligence – The Next Generation of Future Innovations". EuroSciCon organizes Global Events with Conferences, Symposiums, and Workshops on Medical, Pharma, Engineering, Science, Technology, and Business.

Scope and Importance :

Big data, 3D Printing & AI conference aims to deliver the advancements of data, its management and also education in relation to data science & data analysis. There is a huge scope for expansion in data analytics in coming years. This field of data analytics is still in the early, growing stags and will ultimately find its applications in many new domains apart from the area of business where it is currently booming. IoT, Healthcare, HR, Education, Governance, Agriculture are some of the relatively untouched areas of analytics until now and the ones where you will see more proliferation in the coming years.

Who can Attend?
Big data, 3D Printing & AI conference brings together individuals who are Data Analysts, Internet of Things, Data Engineers, Artificial Intelligence, Data Scientists, Data Architects, Business Analysts, Big Data Professionals, online visitors ranging from Researchers, Academicians and Business professionals, who are working in this field. This conference provides an opportunity to meet Experts, professionals, academicians, and researchers from all over the world. Execute new methods or revise existing methods based on best-presented facts. The attendees can find- Exclusive Sessions and Panel discussions on latest innovations in Data Analytics. It is a forum to explore issues of mutual concern as well as exchange knowledge, share evidence, ideas, and generate solutions.
This conference gives an emphasis on data-based application, educational innovation, practical implementation, and peer to peer networking and collaboration. The goal of the conference is to provide a transformative professional development experience through. By participating in the conference, attendees will be able to study the advances in the Data Analytics research. A Unique Opportunity for Advertisers and Sponsors at this International event.
Conference Topics:
  • Data Analytics - The Future of Everything
  • 3D Printing
  • Big Data & Data Analytics
  • 3D Printing Materials
  • Visual Analytics
  • Nano 3D Printing
  • Info-Graphics
  • 3D Bio Printing
  • Business Analytics
  • Clinical Application of 3D Printing
  • Polymers in 3D Printing
  • Pharmacy Analytics
  • Bioinformatics
  • Internet of Things (IOT)
  • Smart Buildings
  • Climate Informatics
  • Cloud Computing
  • Artificial Intelligence
  • Social Media Analytics
  • Preventing Fraud
  • Road Safety & Analysis
  • Data Analytics Tools
  • Ethics
  • Future of Data Analytics
  • Data Warehousing
  • Open Data
  • Frequent Pattern Mining
  • About Subject
Data Analysis, also known as data analytics or analysis of information, is a technique of analyzing, cleaning, remodeling, and modeling information with the aim of coming across useful data, suggesting conclusions, and assisting selection-making. Data Analytics has multiple aspects and procedures, encompassing various strategies under a variety of names, in distinctive business, science, and social technology domains.
3D printing or additive producing may be a method of creating 3 dimensional solid objects from a digital file.
The creation of a 3D written object is achieved mistreatment additive processes. In AN additive method, AN object is formed by giving birth down sequent layers of fabric till the item is formed. Each of those layers may be seen as a thinly sliced horizontal crosswise of the ultimate object.
3D printing is that the opposite of reductive producing that is excision/hollowing out a bit of metal or plastic with as an example a shaping machine.



Data Analytics - The Future of Everything

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Technology is evolving & changing genuinely fast. But what's vital to notice that information science is what maximum of the generation is revolving around. Big data was once “the subsequent massive aspect of the future” like some years back. We’re already dwelling the future & big data is everywhere. There might be some industries which are still not in the awe of the capacity of data science & how it is able to help them however maximum other are creating a great use of this technology. With the sector increasingly tuning right into a “virtual workspace”, data science is clearly the future of everything.

  • Data Analytics in education
  • Data Analytics in healthcare & pharmacy
  • Data Analytics in data management
  • Data Analytics in social media
  • Data Mining & Big Data
  • Internet of Things
  • Artificial Intelligence
3D printing is any of different procedures in which material is joined or hardened under PC control to make a three-dimensional object, with a material being included, (for example, fluid atoms or powder grains being melded). 3D printing is utilized in both quick prototyping and added substance fabricating. Articles can be of any shape or geometry and ordinarily are delivered utilizing advanced model information from a 3D display or another electronic information source, for example, an Additive Manufacturing File (AMF) record (for the most part in successive layers). There are a wide range of innovations, as stereolithography (SLA) or melded store displaying (FDM). Therefore, not at all like material expelled from a stock in the ordinary machining process, 3D printing or Additive Manufacturing assembles a three-dimensional protest from a PC supported structure (CAD) model or AMF document, as a rule by progressively including material layer by layer.

Data Mining

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Data analytics makes use of the data miningapproach. The simple calculations in data mining & research form the basis for the developing area of data technology, which includes robotized strategies to look at examples & models for an extensive variety of information, with applications extending from logical revelation to business perception & examination.

  • Neural Networks
  • Cluster Analysis, Genetic Algorithms
  • Decision Trees & Recession rules
  • Data understanding & Data preparation
  • Modelling & Evaluation
  • Deployment
The guarantee of printing human organs started in 1983 when Charles Hull imagined stereolithography. Presently, 3D BioPrinting procedures are utilized to join cells, development elements, and biomaterials to create biomedical parts that maximally copy normal tissue qualities. 3D Printer can be utilized to print tissues and organs to help explore medications and pills. Scientists at Wake Forest University in North Carolina say they have made a 3D printer that can create organs, tissues, and bones that could hypothetically be embedded into living people. Around 115,000 individuals in the United States are right now on the sitting tight rundown for a lifesaving organ transplant. Another name is added to the national transplant holding up rundown at regular intervals. This innovation and industry will see touchy development, with the possibility to upset numerous parts of social insurance and medication advancement. 
  • downside of bioprinting 
  • weight helped bioprinting 
  • bioprinting challenges 
  • advantages of bioprinting 
  • who utilizes bioprinting 
  • Bio-Ink in 3D Printing 
  • Tissue building 
  • Laser-helped bioprinting 
  • Laser producing 
  • Fast prototyping 
  • Micropatterning 
  • High cell thickness printing

Cryptocurrency & Big Data

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With the assistance of Big Data, it could be workable for digital currency proprietors to end up more mindful of ongoing hacking endeavors. Applications fueled by huge information could likewise take proactive parts by recognizing the components that propose penetration endeavors are in advance or going to happen, at that point prevent programmers from effectively completing their arranged assaults on cryptocurrency holders.

  • Blockchain Technology
  • Cryptocurrency
  • Protecting Against Hacks
  • Helping Buyers Spy Volatility

Educational Data Mining

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It targets to deliver the education zone, which yields the biggest volumes of records each day, within the data mining region so that this large quantity of data can be pre-processed to retrieve genuine, beneficial & actionable data. While a whole lot of people make contributions to educational content, their authenticity is at stake. This content can be labeled as data & not actual information. So that in order to retrieve data, an expert has to parse through all information, using his very own set of abilities, after which its personal authenticity is confirmed. Data mining strategies can explore data; however, they continually need the professional recommendation to make very last decisions, particularly when the line between data & information is the blur.

  • Analysis & visualization of data
  • Student modeling
  • Developing concept maps
  • Constructing courseware
  • Distillation of data for human judgment
3D printing fiber is made using a technique of warming, ousting and cooling plastic to change nurdles into the finished thing. Not in the slightest degree like a 3D printer the fiber is pulled rather than pushed through the gush to make the fiber, the separation crosswise over of the fiber is described by the system that occurs after the plastic has been warmed instead of the broadness of the extruder gush. A substitute power and speed is associated with the fiber as it is pulled out of the extruder to portray the width of the fiber, most by and large 1.75 mm or 3 mm broadness. 
The plastic nurdles are always white or clear. Shades or distinctive added substances are added to the material before it is condensed to made tinted fiber or fiber with unprecedented properties, e.g. extended quality or appealing properties. Before the fiber is removed the nurdles are warmed to 80°C to dry it and decrease water content. The nurdles must be dried a similar number of thermoplastics are hygroscopic and removal of wet plastic causes dimensional flaws (this is furthermore the circumstance when the finished fiber is being printed. Starting there the nurdles are supported into a singular screw extruder where it is warmed and ousted into a fiber. The separation crosswise over is routinely evaluated by a laser as an element of a quality control segment to ensure reconsider expansiveness of the fiber. The fiber is then fed through a warm water tank which cools the fiber which gives the fiber its round shape. The fiber is then supported through a nippy water tank to cool it to room temperature. It is then bent onto a spool to make the finished thing.

Big Data & Data Analytics

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Big data is something that may be used to examine insights which could result in better choice & strategic enterprise actions. Data analytics includes automating insights into certain datasets in addition to supposes the use of queries & data aggregation tactics. Big data is a theoretical concept for outlining issues that rise up to a large size of data in which conventional data managing tools aren't capable enough. While data Analytics is a bunch of tools & strategies to carry out an evaluation of data (big & small). So, if one has a big data trouble, then data analytics is there to clear up those issues.

  • Big Data Characteristics
  • Data Stream Algorithms
  • Hadoop
  • Technology & Tools in Open Science
  • Big Data Analytics & machine learning

Visual Analytics

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It is the science of analytical reasoning supported through interactive visual interfaces. Over the past many years, a massive quantity of automated data evaluation techniques had been evolved. However, the complex nature of many issues makes it crucial to encompass human intelligence at an early level within the data analysis system. Visual Analytic techniquespermit decision makers to combine their human flexibility, imagination, & background understanding with the tremendous storage & processing capacities of these day's computer systems to gain a perception of complicated issues. Using superior visual interfaces, people may immediately interact with the data analysis competencies of nowadays computer, letting them make well-knowledgeable decisions in complex situations.

  • Software Visualization
  • Computational Visualistics
  • Cartography
  • Visual analytics tools
  • Visual analytics in SAS


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We are in a world of more data, & even the most complicated ones, data & big data is changing the way real estate professionals, buyers, sellers & even banks, think about transactions involving property. This info-graphics covers the impact of big data analytics in the real estate industry. The advantages moreover like better & accurate prognosis, business lucidity, identifying prior unknown potential, faster & more comprehensive analyses, faster reactions by management, improved customer service, etc. Data Analytics has helped to change both commercial & residential real estate industry.

  • Understanding Viral Content Marketing
  • The Carbon Budget
  • The key elements
  • Technical illustration
  • Maestro concept

Business Analytics

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Business Analytics pertains to the exploration of historic data from many source structures through statistical analysis, quantitative evaluation, data mining, predictive modeling & specific technology & strategies to discover developments & recognize the information that could power business exchange & assist sustained successful business practices.

  • Business intelligence
  • Business Analytics & Research (BA&R)
  • Emerging phenomena
  • Technology drives & business analytics
  • Capitalizing on a growing marketing opportunity

Pharmacy Analytics

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In today’s world, analytics are crucial to controlling claims charges. And with the pharmacy prices accounting for this massive part of the one's expenses, rising’s prescription monitoring technologies carry a key element to the value-saving equation. Healthcare presents one of the maximum complex types of data of any industry because of its privacy rules & federal/state policies. Yet with the rapid increase of enabling technology gear shooting healthcare records, the volume of available information is increasing. Now businesses are looking to make sense of all of this information & the way best to use it to their enterprise & medical care.

  • Big data in nursing inquiry
  • Methods, tools & processes used with data analytics with relevance to nursing
  • Data Analytics & Nursing Practice
  • Data Mining in Healthcare data
  • Medical Data Mining
  • Eagle Eye –Cloud-based digital pharmacy

Artificial Intelligence

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The primary purpose of AI is to infuse intelligence to machines. This consists of computer vision (to assist dealers to view the world around it), Language Processing(Speech & textual content processing) to assist the agent to recognize human text & speech & additionally to respond to them more clearly. Machine mastering facilitates the marketers to learn & enhance their performance much like how human beings do. Data MiningData Analytics, all makes use of statistical learning algorithms (machine learning) to extract intelligence from the information. This intelligence might also assist in improving its overall performance.

  • Scientific computing
  • Computer graphics
  • Algorithmic Trading
  • Cybernetics
  • Artificial Neural Networks

Cloud Computing

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The bottom-line of data analytics in cloud computing is cloud computing itself. Cloud computing is built around a sequence of hardware & software that may be remotely accessed through any net browser. Typically documents & software is shared & worked on via a couple of customers & all records are remotely centralized in place of being saved on customers’ hard drives. Analytics in cloud computing, including tracking social media engagement & records, is clearly making use of the concepts of analytics to information housed on cloud drives instead of on individual servers or drives.

  • Core Cloud Services
  • Cloud Technologies
  • Computing Models
  • Client-Cloud Computing Challenges
  • High-Performance Computing Systems for Medical Applications

Climate Informatics

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Climate informatics can be defined as information-managed analysis, & therefore gives a compliment to present techniques to climate science. Weather datasets mix up strategies from machine learning & data Mining with the greater conventional statistical strategies used by field researchers, & the physics-based simulations utilized in weather modeling. The aim of climate informatics is to inspire collaboration between weather scientists & data scientists, with a view to developing tools to examine complicated & ever-developing quantities of observed & simulated weather records, & thereby bridge the space between data & expertise. Here, latest weather informatics work is presented, together with information on a number of the remaining demanding situations.

  • Climate Science
  • Future Weather Predictions & Analysis
  • Climate Modelling
  • Statistical Techniques & Climate Datasets
  • The Fourth Paradigm

Smart Buildings

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data analytics method may be used with a purpose to predict energy intake in homes. The different steps of the data evaluation method are performed which will comprehend smart buildings, in which the building control & manage operations along with heating, ventilation, Air conditioners, lights, & safety are realized robotically by way of miming the needs of the building customers & optimizing sources like electricity & time.

  • House Automation System
  • Energy Efficiency & Smart Building Models
  • Smart Building Design & Implementation Principles
  • Challenges Regarding Smart Buildings
  • Smart Operations & Optimizing Sources

Internet of Things (IoT)

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IOT is about gadgets, information & connectivity. The actual value of net of factors is about growing smarter merchandise, turning in sensible insights & supplying new business results. As hundreds of thousands of gadgets get linked, the internet of things will trigger a big influx of huge data. The key mission is visualizing & uncovering insights from numerous varieties of data (established, unstructured, pictures, contextual, dark data, real-time) & in context of your programs.

  • Medical & Healthcare
  • Transportation
  • Environmental Monitoring
  • Infrastructure Management
  • Enterprise
  • Consumer Application


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Data Analytics in Bioinformatics merges the fields of biology, technology, & medicine so that you can present a complete take a look at the emerging information processing programs vital within the field of digital clinical record management. Whole with interdisciplinary research sources, this is an important reference source for researchers, practitioners, & college students inquisitive about the fields of biological computation, database control, & health statistics generation, with a unique focus on the methodologies & equipment to control huge & complicated digital information.

  • Systems for Brain - Machine Interface
  • Data mining & processing in bioinformatics, genomics & biometrics
  • Bio-Surveillance
  • Electronic Health Records
  • Predictive Analytics
  • Real-time Alerting

Social Media Analytics

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social networking internet site collects data associated with user choices, community pursuits & phase consistent with unique standards along with demographics, age or gender. Right analysis exhibits key consumer & customer developments & allows the social community's alignment of content, format & overall strategy.

  • Google Analytics
  • Networks & Relations
  • Development of Social Network Analysis
  • Analysing Relational Data
  • Dimensions & Displays
  • Positions, Sets & Clusters

Preventing Fraud

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The primary purpose to apply data analytics to tackle fraud is due to the fact a number of internal control systems have extreme control weaknesses. in an effort to efficaciously test & monitor inner controls, companies want to examine each transaction that takes place & check them in opposition to installing parameters, throughout programs, across systems, from dissimilar programs & data assets. Most internal control systems really cannot handle this. On the top of that, as we enforce internal systems, some controls are even never turned on. The use of data analytics, one can discover root troubles, discover traits, & offer particular results. With the number of transactions flowing through corporations nowadays, the speed of business has increased particularly because scrutiny of individual transactions is quite tough to offer. This lack of scrutiny over individual transactions opens up the gate for people to abuse systems, perpetrate fraud, & materially affect monetary outcomes.

  • Counter Measures to Combat Cyber Terrorism
  • Cyber Security for Critical Infrastructures & High-Performance Computing
  • Security/Privacy Technologies
  • Personal Identity Verification
  • Human Activity Recognition

Road Safety & Analysis

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Road & traffic accidents are unsure & unpredictable incidents & their analysis calls for the understanding of the elements affecting them. One of the key targets in accident data evaluation to discover the primary elements related to a road & traffic accident. But, the miscellaneous nature of road accidents records makes the analysis task tough. Data segmentation has been used extensively to conquer this heterogeneity of the accident information. The outcomes display that the aggregate of k mode clustering & association rule mining may be very inspiring as it produces crucial information that might stay hidden if no segmentation has been done prior to generating association regulations. In addition, a trend analysis has also been executed for every clusters & EDS accidents which reveals distinctive trends in the different cluster while a positive trend is shown by means of EDS. Trend analysis additionally suggests that previous segmentation of accident records may be essential earlier than analysis.

  • K-Mode Clustering & Data Mining
  • Data Segmentation
  • Road Crash Data
  • Road Accident Analysis & Data Mining
  • Factor Identification & Predictions

Data Analytics Tools

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Gathering, storing, merging & sorting huge amounts of data had been the main challenge for software & hardware centers. Growing a variety of businesses & establishments has solved & evolved tools for saving & storing tables, documents or multimedia information. Database systems are a chief tool in triumphing applications. Those systems have regular hundreds or hundreds of thousands of entries. The goals of analytical equipment are obtaining necessary & beneficial information from gathered records & therefore using them for active control & selection making. The main purpose of this contribution is to offer a few possibilities & tools of data analysis as regards to the availability of very last users.

  • Big Data Security & Privacy
  • E-Commerce & Web Services
  • Medical Informatics
  • Visualization Analytics for Big Data
  • Predictive Analytics In Machine Learning & Data Mining
  • Interface to Database Systems & Software System


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The technology of data analytics attains a huge boon to both people & companies bringing personalized service, detection of fraud & abuse, efficient use of sources & prevention of failure or accident. Current improvements in analytics & big data era have widened the space between what's viable & what's legally allowed, converting the stability of power among individuals & the data collectors. Inside this gap are new possibilities along the dangers of public relations failures & accidental results. & its miles inside this gap where the ethical questions around what is appropriate are raised.

  • Data Encryption
  • Data Hiding
  • Public Key Cryptography
  • Quantum Cryptography
  • Convolution
  • Hashing

Future of Data Analytics

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Some of the predictions that emerge as we see the present scenario of big data & data analytics can likely be that, Data volumes will continue to grow, Ways to analyze data will improve, More tools for analysis (without the analyst) will emerge, Prescriptive analytics will be built in to business analytics software, Autonomous agents & things  will continue to be a huge trend, & some more additional changes would be noticed in further future.

  • Business Analytics
  • Optimal Data-Dependent Computation
  • Delegating Computations
  • Convergence of Fast Computations
  • Optimal Error Rates
  • Approximation & Optimization Schemes
  • Randomized Compositions

Data Warehousing

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In figures, a facts movement concentrate, by and big, known as an enterprise data stockroom (EDW), is a structure developed for reporting and facts inspection. Statistics Warehousing is focal narratives of encouraging information from at least one awesome resource. This statistics warehousing merges statistics Warehouse Architectures, Case examines: statistics Warehousing structures, information warehousing in enterprise Intelligence, the position of Hadoop in business Intelligence and facts Warehousing, the business makes use of data Warehousing, Computational EDA (Exploratory statistics evaluation) strategies, system studying and facts Mining.

  • Data Warehouse Architectures
  • Case studies: Data Warehousing Systems
  • Data warehousing in Business Intelligence
  • Role of Hadoop in Business Intelligence and Data Warehousing
  • Commercial applications of Data Warehousing
  • Computational EDA (Exploratory Data Analysis) Techniques

Open Data

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Open data is the feeling that some data need to be unreservedly available to all of us to make use of and republish as they wish, without confinements from proper, licenses or different systems of control. The targets of the open data improvement are like the ones of different "open" traits, as an example, an open premise, open device, open fulfilled, and open access.

  • Open Data, Government, and Governance
  • Open Development and Sustainability
  • Open Science and Research
  • Technology, Tools, and Business                                                      

Frequent Pattern Mining

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frequent pattern mining is an example that occurs as often as viable in a data set. Initially proposed by [AIS93] on the subject of regular issue units and affiliation guideline digging for commercial enterprise sector crate research. Stretched out to a huge variety of issues like chart mining, consecutive instance mining, instances association design miningcontent material mining.

  • Frequent itemsets and association
  • Item Set Mining Algorithms
  • Graph Pattern Mining
  • Pattern and Role Assessment

Media Partners/Collaborator

A huge thanks to all our amazing partners. We couldn’t have a conference without you!


A huge thanks to all our amazing partners. We couldn’t have a conference without you!