Theme: Modern Technologies and Challenges in Big Data
Data Analytics 2018
Details of Data Analytics Conferences 2018 in USA:
Conference Series LLC Ltd cordially invites all participants across the globe to attend the 7th International Conference on Big Data Analytics and Data Mining (Data Analytics 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 Data Analytics 2018.
Big Data, 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 2018 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.
| Conference Name | Place | Date |
|---|---|---|
| Data Analytics 2018 | Chicago, Il, USA | September 26-27, 2018 |
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 Ltd 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Big data is data sets that is so capacious and composite that outdated data processing application software is inadequate to deal with them.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
Related Big Data Conferences of Data Analytics:
Data Summit 2018 May 22–23, 2018 BOSTON, USA; Big Data Conferences; The Data Science Conference May 3-4, 2018, Chicago, USA; Big Data Conferences USA (America); Predictive Analytics World 2018; Data Mining conferences; Strata+Hadoop World/Strata Data Conference March 5-8, 2018 San Jose, USA; Big Data and Smart Computing January 15-18, 2018 Shanghai, China; Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018;
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
Related Big Data Conferences of Big data technologies:
Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Big data analytics Conferences; Data ScienceSALON MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; Big Data Conferences USA;
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
Related Big Data Conferences of Complexity in data structure and algorithm:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile;
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
Related Big Data Conferences of Big Data Applications:
Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; Big Data Conferences USA; Data Mining conferences Europe; Big Data Conferences Asia Pacific
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
Related Big Data Conferences of Internet of things:
Predictive Analytics World 2018; Data Mining conferences; Strata+Hadoop World/Strata Data Conference March 5-8, 2018 San Jose, USA; Big Data and Smart Computing January 15-18, 2018 Shanghai, China; Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018;
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
Related Big Data Conferences of Optimization and Big Data:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany;
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
Related Big Data Conferences of Data Mining Applications in Science, Engineering, Healthcare and Medicine:
ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Big data analytics Conferences; Data ScienceSALON MIA Feb 8-9, Miami, FL, USA
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
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Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Big data analytics Conferences; Data ScienceSALON MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA;
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
Related Big Data Conferences of Cloud computing & E-commerce:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany;
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
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3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Big data analytics Conferences; Data ScienceSALON MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands;
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
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Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; Big Data Conferences USA; Data Mining conferences Europe; Big Data Conferences Asia Pacific
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
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Data Summit 2018 May 22–23, 2018 BOSTON, USA; Big Data Conferences; The Data Science Conference May 3-4, 2018, Chicago, USA; Big Data Conferences USA (America); Predictive Analytics World 2018; Data Mining conferences; Strata+Hadoop World/Strata Data Conference March 5-8, 2018 San Jose, USA; Big Data and Smart Computing January 15-18, 2018 Shanghai, China;
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
Related Big Data Conferences of Social Media analytics:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile;
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
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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
Related Big Data Conferences of Data Mining Methods and Algorithms:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, 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
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IQPC Applied AI Summit Feb 3-5, London, UK; Big data analytics Conferences; Data ScienceSALON MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA;
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.
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Web Analytics Association, Florida
SIAM society for industrial and applied mathematics, United States
IAENG Society of Data Mining, Hong Kong
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Data Summit 2018 May 22–23, 2018 BOSTON, USA; Big Data Conferences; The Data Science Conference May 3-4, 2018, Chicago, USA; Big Data Conferences USA (America); Big Data Conferences USA; Data Mining conferences Europe; Big Data Conferences Asia Pacific
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
Related Big Data Conferences of Data Mining for Cyber Security:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile;
Track19: New Data tools used for visualization
Information representation or information perception is seen by numerous orders as a present likeness visual correspondence. It is not claimed by any one field, yet rather discovers translation crosswise over numerous It envelops the arrangement and investigation of the visual representation of information, signifying "data that has been dreamy in some schematic structure, including attributes or variables for the units of data".
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
Related Big Data Conferences of New Data tools used for visualization:
Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; Big Data Conferences USA; Data Mining conferences Europe; Big Data Conferences Asia Pacific
Track20: 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.
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Big Data Europe Empowering Communities with Data Technologies, Europe
Big Data and Society, United Kingdom
Advanced Analytics Institute, Australia
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Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany; Big Data Conferences USA; Data Mining conferences Europe; Big Data Conferences Asia Pacific
Track21: 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
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Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Deep Learning Summit Jan 25-26, San Francisco, USA; Advanced Analytics Forum Jan 25-26, Berlin, Germany
Track22: Search and data mining
In the course of recent decades there has been an enormous increment in the measure of information being put away in databases and the quantity of database applications in business and the investigative space. This blast in the measure of electronically put away information was quickened by the achievement of the social model for putting away information and the improvement and developing of information recovery and control innovations.
Related Societies:
National Centre for Data Mining, Chicago
Web Analytics Association, Florida
SIAM society for industrial and applied mathematics, United States
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Data ScienceSALON MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; Big Data Conferences USA; Data Mining conferences Europe; Big Data Conferences Asia Pacific
Track23: Frequent pattern mining
A Frequent example is an example that happens as often as possible in an information set. Initially proposed by [AIS93] with regards to regular thing sets and affiliation guideline digging for business sector crate investigation. Stretched out to a wide range of issues like chart mining, consecutive example mining, times arrangement design mining, content 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
Related Big Data Conferences of Frequent pattern mining:
Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile;
Track24: Forecasting from Big Data
Enormous Data is a liberal wonder which is a standout amongst the most every now and again talked about subjects in the present age, and is relied upon to remain so within a reasonable time-frame Aptitudes, equipment and programming, calculation design, accurate centrality, the sign to commotion proportion and the way of Big Data itself are distinguished as the significant problems which are tarnishing the way toward acquiring important gauges from Big Data
Related Societies:
International Institute for Analytics, Oregon
The International Machine Learning Society, Germany
International Institute for Business Analysis, Ontario
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IQPC Applied AI Summit Feb 3-5, London, UK; Big data analytics Conferences; Data ScienceSALON MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA;
Track25: Open data
Open information is the feeling that a few information ought to be unreservedly accessible to everybody to utilize and republish as they wish, without confinements from right, licenses or different systems of control. The objectives of the open information development are like those of other "open" developments, for example, open premise, open equipment, open fulfilled, and open access.
Related Societies:
National Centre for Data Mining, Chicago
Web Analytics Association, Florida
SIAM society for industrial and applied mathematics, United States
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Predictive Analytics World 2018; Data Mining conferences; Strata+Hadoop World/Strata Data Conference March 5-8, 2018 San Jose, USA; Big Data and Smart Computing January 15-18, 2018 Shanghai, China; Data Mining conferences 2018; International Conference on Internet-of-Things Design and Implementation, April 17-20, 2018; Big Data Events 2018; ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India
Market Analysis:
Interactive Data Corporation says that worldwide incomes for big data and business analytics will raise from $130.1 billion in 2016 to more than $203 billion in 2020, at a compound annual growth rate (CAGR) of 11.7%. In addition to being the production with the major investment in big data and business analytics results (nearly $17 billion in 2016), banking will see the fastest spending growth.
By the end of 2017, revenue growths from information-based products will double the rest of the product/service portfolio for one third of Fortune 500 companies, says IDC. Raw data and various value-added content will be bought and sold either via marketplaces or in bilateral transactions and enterprises will begin to develop methods for valuing their data (see Chief Data Officer below). “Data monetization” will become a major source of revenues, as the world will create 180 zettabytes of data (or 180 trillion gigabytes) in 2025, up from less than 10 zettabytes in 2015, according to IDC.
The global big data market size was valued at USD 25.67 billion in 2015 and is expected to witness a significant growth over the forecast period. The elevating number of virtual online offices coupled with increasing popularity of social media producing enormous amount of data is a major factor driving growth.
The largest big data segment is currently professional services, which represents around two fifths of the total market and generates around 10 billion U.S. dollars annually. Some analysts suggest this may not last, however, with service revenues giving way to big data software revenues over the coming decade. Across all segments, IBM is the current market leader, with revenues of about 1.5 billion U.S. dollars from big data. Hewlett Packard Enterprise and SAP round out the top three, with big data revenues for each company reaching close to a billion U.S. dollars.
Why to Attend??
Big Data 2018 invites attendees from around the world focused on learning about Big Data Analytics and Data Mining; this would be one of best opportunity to reach the largest assemblage of participants from the Data Science community. Conduct demonstrations, distribute information, meet with current and potential customers, make a splash with a new product line, and receive name recognition at this 2-day event. World renowned speakers, the most recent techniques, tactics, and the newest updates in Big Data fields are hallmarks of this conference.
Why Chicago??
Chicago is the third-most populous city in the United States. With over 2.7 million residents, it is also the most populous city in both the state of Illinois and the Midwestern United States. It is the county seat of Cook County. The Chicago metropolitan area, often referred to as Chicago land, has nearly 10 million people and is the third-largest in the U.S. Chicago has often been called a global architecture capital. Chicago is considered one of the most important business centres in the world.
Chicago has the third-largest gross metropolitan product in the United States—about $658.6 billion according to 2014–2016 estimates. The city has also been rated as having the most balanced economy in the United States, due to its high level of diversification. Manufacturing, printing, publishing and food processing also play major roles in the city's economy. Several medical products and services companies are headquartered in the Chicago area, including Baxter International, Boeing, Abbott Laboratories, and the Healthcare division of General Electric. In addition to Boeing, which located its headquarters in Chicago in 2001, and United Airlines in 2011, GE Transportation moved its offices to the city in 2013.
In 2014, Chicago attracted 50.17 million domestic leisure travelers, 11.09 million domestic business travelers and 1.308 million overseas visitors.[187] These visitors contributed more than US$13.7 billion to Chicago's economy. Grant Park holds Millennium Park, Buckingham Fountain, Harris Theater for Music and Dance, Navy Pier, Adler Planetarium & Astronomy Museum, Field Museum of Natural History, Chicago Water Tower.
For More details: https://datamining.conferenceseries.com/2017
Conference Highlights
- Data Analytics
- Big Data technologies
- Complexity in data structure and algorithm
- Big Data Applications
- Internet of things
- Optimization and Big Data
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Big Data in Nursing Research
- Cloud computing & E-commerce
- Data Mining and Machine Learning
- Artificial Intelligence
- Data Mining Tools and Software
- Social Media analytics
- Data Mining Tasks and Processes
- Data Mining Methods and Algorithms
- Data Mining analysis
- Data Mining Cluster Analysis
- Data Mining for Cyber Security
- New Data tools used for visualization
- Business Analytics
- Data privacy and ethics
- Search and Data Mining
- Frequent pattern mining
- Forecasting from Big Data
- Open Data
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To Collaborate Scientific Professionals around the World
| Conference Date | September 26-27, 2018 | ||
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| Speaker Opportunity Closed | Day 1 | Day 2 | |
| Poster Opportunity Closed | Click Here to View | ||
