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8th International Conference on Big Data Analytics and Data Mining (CSE) A

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San Francisco, USA 94111

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8th International Conference on Big Data Analytics and Data Mining

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Details of Data Analytics 2019 in USA

Conference series LLC cordially invites all participants across the globe to attend the 6th International Conference on Big Data Analytics and Data Mining (Big Data 2018) which is going to be held during September 26-27, 2018 in Chicago, USA to share the “Modern Technologies and Challenges in Big Data" and technology. The main theme of the conference is “Modern Technologies and Challenges in Big Data". This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset, however your presence over the venue will add one more feather to the crown of Big Data 2018.

Data Analytics 2019, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Analytics 2019 is comprised of the following sessions with 25 tracks and 133 sub sessions designed to offer comprehensive sessions that address current issues of Big Data and Data Mining. Data mining tools predict future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time-consuming to resolve.

Target audience for the conference:

Data Base engineers
Scientists/Researchers
Professors
President/Vice president
Chairs/Directors
Data Scientists
Students
Experts and Delegates

Sessions/Tracks

Conference series LLC cordially invites all the participants from all over the world to attend International Conference on Big Data Analytics & Data Mining during September 26-27, 2018 in Chicago, USA. This includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Track1: Data Analytics

Big data is data sets that is so capacious and composite that outdated data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. There are three dimensions to big data known as Volume, Variety and Velocity

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

Track2: Big data technologies

Huge information brings open doors as well as difficulties. Conventional information process-sing has been not able meet the gigantic continuous interest of huge information; we require the new era of data innovation to manage the episode of huge information

Related Societies:

American Statistical Association, United States

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Track3: Complexity in data structure and algorithm

Huge information is information so vast that it doesn't fit in the fundamental memory of a solitary machine, and the need to prepare huge information by productive calculations emerges in Internet seeks, system activity checking, machine learning, experimental figuring, signal handling, and a few different territories. This course will cover numerically exhaustive models for increasing such calculations, and some provable confinements of calculations working in those models.

Related Societies:

IEEE Computer Society, United States

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

Track4: Big Data Applications

Tremendous data is an extensive term for data sets so significant or complex that customary data planning applications are deficient. Employments of gigantic data consolidate Big Data Analytics in Enterprises, Big Data Trends in Retail and Travel Industry, Current and future circumstance of Big Data Market, Financial parts of Big Data Industry, Big data in clinical and social protection, Big data in Regulated Industries, Big data in Biomedicine, Multimedia and Personal Data Mining

Related Societies:

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Big Data in Asian Society, Singapore

Track5: Internet of things

The Internet of things (IOT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to connect and exchange data. Each thing is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure. "Things", in the IoT sense, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, cameras streaming live feeds of wild animals in coastal waters, automobiles with built-in sensors, DNA analysis devices for environmental/food/pathogen monitoring or field operation devices that assist fire fighters in search and rescue operations

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Track6: Optimization and Big Data

The period of Big Data is here: information of immense sizes is getting to be universal. With this comes the need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting; informal organization science and computational science are some of a few noticeable application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. Traditional improvement calculations are not intended to scale to occasions of this size; new methodologies are required. This workshop expects to unite analysts chipping away at unique streamlining calculations and codes fit for working in the Big Data setting.

Related Societies:

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

National Centre for Data Mining, Chicago

Track7: Data Mining Applications in Science, Engineering, Healthcare and Medicine

Information Mining Applications in Engineering and Medicine attentions to offer data excavators who wish to apply stand-out data some help with mining environments. These applications relate Data mining structures in genuine cash related business territory examination, Application of data mining in positioning, Data mining and Web Application, Medical Data Mining, Data Mining in Healthcare, Engineering data mining, Data Mining in security, Social Data Mining, Neural Networks and Data Mining, these are a portion of the jobs of data Mining.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

Track8: Big Data in Nursing Research

With advances in technologies, nurse scientists are increasingly generating and using large and complex datasets, sometimes called “Big Data,” to promote and improve the health of individuals, families, and communities. In recent years, the National Institutes of Health have placed a great emphasis on enhancing and integrating the data sciences into the health research enterprise. New strategies for collecting and analysing large data sets will allow us to better understand the biological, genetic, and behavioural underpinnings of health, and to improve the way we prevent and manage illness.

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Track9: Cloud computing & E-commerce

Distributed computing is a sort of Internet-based imagining that gives shared handling resources and information to PCs and unlike devices on concentration. It is a typical for authorizing pervasive, on-interest access to a common pool of configurable registering assets which can be quickly provisioned and discharged with insignificant administration exertion. Distributed calculating and volume preparations supply clients and ventures with different abilities to store and procedure their info in outsider info trots. It depends on sharing of assets to accomplish rationality and economy of scale, like a utility over a system.

Related Societies:

American Statistical Association, United States

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

Track10: Data Mining and Machine Learning

Machine learning is a field of computer knowledge that gives processors the ability to learn without existence explicitly programmed. Machine learning is closely associated to computational statistics, which also attentions on prediction-making through the use of computers. Within the field of data analytics, machine learning is a technique used to devise difficult models and processes that lend themselves to expectation in profitable use, this is known as predictive analytics.

Related Societies:

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

Track11: Artificial Intelligence

Artificial Intelligence is a system of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

Track12: Data Mining Tools and Software

Information Mining gadgets and programming ventures join Big Data Security and Privacy, Data Mining and Predictive Analytics in Machine Learning, Boundary to Database Systems and Software Systems.

Related Societies:

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

International Educational Data Mining Society, United States

Track13: Social Media analytics

Informal organization investigation (SNA) is the advancement of looking at social structures using system and chart speculations. It describes arranged structures as far as lumps (individual on-screen characters, individuals, or things inside the system) and the ties or edges (connections or cooperation’s) that interface them.

Related Societies:

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Big Data in Asian Society, Singapore

Track14: Data Mining Tasks and Processes

Information mining undertaking can be shown as a data mining request. A data mining request is portrayed similarly as data mining task primitives. This track joins Competitive examination of mining figuring’s, Semantic-based Data Mining and Data Pre-planning, Mining on data streams, Graph and sub-outline mining, Scalable data pre-taking care of and cleaning procedures, Statistical Methods in Data Mining, Data Mining Predictive Analytics.

Related Societies:

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Track15: Data Mining Methods and Algorithms

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

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Track16: Data mining analysis

The basic calculations in information mining and investigation shape the premise for the developing field of information science, which incorporates robotized techniques to examine examples and models for a wide range of information, with applications extending from logical revelation to business insight and examination.

Related Societies:

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

National Centre for Data Mining, Chicago

Track17: Data Mining Cluster Analysis

Bunching can be viewed as the most essential unsupervised learning issue; along these lines, as each other issue of this kind, it manages finding a structure in a gathering of unlabelled information. A free meaning of bunching could be the way toward sorting out items into gatherings whose individuals are comparable somehow.

Related Societies:

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

Track18: Data Mining for Cyber Security

Cybersecurity which is also known as computer security is the technology designed to protect computer systems containing programs or data from damage or unauthorized access. This includes preventive measures for cyber terrorism with the help of cyber security with high performance computing

Related Societies:

IEEE Computer Society, United States

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

Track19: Business Analytics

Business Analytics is the investigation of information through factual and operations examination, the arrangement of prescient models, utilization of enhancement procedures and the correspondence of these outcomes to clients, business accomplices and associate administrators. It is the convergence of business and information science.

Related Societies:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Track20: Data privacy and ethics

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

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Track21: Statistical Methods

It includes strategies which are utilized as a part of biostatistics and computing. It incorporates points such as vigorous techniques in biostatistics, longitudinal studies, analysis with deficient data, meta-analysis, Monte-Carlo strategies, quantitative issues in health-risk analysis, statistical methodologies in genetic studies, ecological statistics and biostatistical routines in epidemiology.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

Track22: Biostatistics applications

It is the study of science that deals with the statistical methods for describing and comparing the phenomenon of particular subject which helps in managing medical uncertainties. Its applications are wide spread in medicine, health, biology etc. for interpretation of data based on observations and facts.

AGENDA 2018

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2019 Upcoming Soon
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Day 1 September 26, 2018


08:45-09:15 Registrations
09:15-09:30 Opening Ceremony

Keynote Forum
Title: The theory of random sets as flexible texture descriptor for biological and
09:30-10:05 medical objects and self-similarity as feature descriptors for the description of the
appearances of cells and motion
Petra Perner, Institute of Computer Vision and applied Computer Sciences, Germany
10:05-10:40 Title: Algorithms for a minimum sum of squares clustering
Pierre Hansen, GERAD and HEC Montreal, Canada
Group Photo
Panel Discussion
Networking and Refreshment Break 10:40-11:00 @ Foyer
Title: Partially exact alternatives to regularization in proportional hazards regression
11:00-11:35 models with monotone likelihood
John E Kolassa, Rutgers University, USA
11:35-12:05 Title: Copula Gaussian graphical models for functional data
Bing Li, Pennsylvania State University, USA
12:05-12:35 Title: Disrupting retail analysis with Artificial Intelligence-powered advanced analytics
Ergi Sener, IdeaField Incubation Center BV, Holland
12:35-13:05 Title: Risk visualization: When actuarial science meets visual analytics
Nicolas Wesner, Mazars Actuariat, France
Panel Discussion
Lunch Break 13:05-14:00 @ Ontario
Title: Design productivity, compilation, and acceleration for data analytic applications
14:00-14:35 Deming Chen, University of Illinois at Urbana-Champaign, USA
14:35-15:05 Title: Lifelong learning machines: The cutting edge Artificial Intelligence
Hava Siegelmann, DARPA, USA
Sessions: Data Analytics | Big Data Applications | Internet of things | Data Mining Applications in
Science, Engineering, Healthcare and Medicine | Cloud computing & E-commerce | Data Mining and
Machine Learning | Artificial Intelligence | Biostatistics Application | Statisticsal Methods | Data
Mining analysis | Modern Data Analytics | Clinical Biostatistics | Regression Analysis
Session Chair: Subbulakshmi Padmanabhan, StubHub, USA
15:05-15:30 Title: Better monitoring of diabetic levels using new control charts
Gadde Srinivasa Rao, The University of Dodoma, Tanzania
15:30-15:55 Title: Estimation of differencing parameter of arima models
Abdul Basit, State Bank of Pakistan, Pakistan
Panel Discussion
Networking and Refreshment Break 15:55-16:15 @ Foyer
16:15-16:40
Title: Exact inference for the Youden index to discriminate individuals using twoparameter
exponentially-distributed pooled samples
Sumith Gunasekera, The University of Tennessee at Chattanooga, USA
Poster
16:40-17:00
Title: Classification of multi-channel electroencephalogram time series with linear
discriminant analysis
Yongxiang Gao, Sun yat-sen University, China
Networking 17:00-18:00

Day 2 September 27, 2018

Keynote Forum
09:00-09:35 Title: Improve business operation efficient through the use of automatic intelligent
model building system
Morgan C Wang, University of Central Florida, USA
09:35-10:05 Title: Computational Graphology Systems that reveal people's character from their
handwritten data
Ching Y Suen, Concordia University, Canada
10:05-10:35 Title: High-performance data analytics: Platforms, resource management, and middleware
Shikharesh Majumdar, Carleton University, Canada
Panel Discussion
Networking and Refreshment Break 10:35-10:55 @ Foyer
10:55-11:25 Title: Data-driven management of infrastructure systems in smart communities
Gurdip Singh, Syracuse University, USA
11:25-11:55 Title: Martingale difference divergence and its applications to contemporary statistics
Xiaofeng Shao, University of Illinois at Urbana-Champaign, USA
11:55-12:25 Title: Deep learning in biomedical image processing, analysis, and diagnosis
Kenji Suzuki, Tokyo Institute of Technology, Japan
12:25-12:55 Title: Biostatistics and personalized medicine
Chap T Le, University of Minnesota, USA
Panel Discussion
Lunch Break 12:55-13:50 @ Superior B
Sessions: Data Analytics | Big Data Applications | Internet of things | Data Mining Applications in
Science, Engineering, Healthcare and Medicine | Cloud computing & E-commerce | Data Mining and
Machine Learning | Artificial Intelligence
Session Chair: Subbulakshmi Padmanabhan, StubHub, USA
13:50-14:15 Title: Data mining via entropy and time series analysis
Asif Ali, State Bank of Pakistan, Pakistan
14:15-14:40 Title: Effect of competing for risk among breast cancer
Olawale Abolade O, Federal Polytechnic, Nigeria
14:40-15:05
Title: Application of Artificial Intelligence techniques to formulate a mathematical
equation for the uniaxial compressive strength of fly ash concrete
Tamer Elsayed Ahmed Said, National Research Centre, Egypt
Workshop
15:05-16:00
Title: Disrupting retail analysis with AI powered advanced analytics solution - Idea
Field BV
Ergi Sener, IdeaField Incubation Center BV, Holland
Panel Discussion
Networking and Refreshment Break 16:00-16:20 @ Foyer
Networking 16:20-17:20
Award and Closing Ceremony

Please contact the event manager Marilyn (marilyn.b.turner(at)nyeventslist.com ) below for:
- Multiple participant discounts
- Price quotations or visa invitation letters
- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)
- Event sponsorship

NO REFUNDS ALLOWED ON REGISTRATIONS
Prices may go up any time. Service fees included in pricing.
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