Conferences and Meetings on Information & Knowledge Management, Big Data Computing

The International Semantic Web Conference (ISWC) is the leading conference for research on Semantic Web topics. It is held annually and is the successor of the Semantic Web Working Symposium (SWWS).

The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning，databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data mining.

Informatik Aktuell

The IT-Tage are the only IT conference in the DACH area to cover the entire spectrum of developer, admin and management topics: From Architecture & Design, Microservices, Security, Data Access and Storage, IT- Leadership, performance and optimization through application development with Java, .NET and App environments, analysis & optimization, to test and quality, as well as system integration. The IT-Tage are organized by Informatik Aktuell, a german magazine for professional software development and information technology.

Email: it-tage@informatik-aktuell.de

Software Engineering,    Internet of Things (IoT) and Sensor Networks

Ashoka University

The 8th International Conference on Big Data Analytics (BDA 2020) will be held during December 15-18, 2020 at Ashoka University, India. The conference will be organized by Ashoka University. BDA 2020 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends.

Technical Program Committee;     Email: vikram@iiitd.ac.in

Data Mining, Databases, Big Data Analytics, Information Processing, Topic Modeling, Data Models

Database Technology and Design,    Search Engines and Data Mining

Guangzhou University, China

BigDataSE (Big Data Science and Engineering) is created to provide a prime international forum for researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Big Data and broadly related areas. BigDataSE 2020 is the next event in a series of highly successful International Conferences, previously held as BigDataSE 2019 in Rotorua, New Zealand, BigDataSE 2018 in New York, USA, BigDataSE 2017 in Sydney, Australia, BigDataSE 2016 in Tianjin, China, BigDataSE 2015 in Helsinki, Finland BigDataSE 2014 in Beijing, China, BigDataSE 2013 in Sydney, Australia, BigDataMR-12 in Xiangtan, China, AHPCN-12 in Bradford, UK, AHPCN-11 in Banff, Canada, AHPCN-10 in Melbourne, Australia, AHPCN-09 in Seoul, Korea and AHPCN-08 in Dalian, China.

Conference organizers;     Email: BigDataSE2020@googlegroups.com

Big data, parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce.

American University

American University will hold the 2021 Institute for Data Science and Big Data online, which is geared to working professionals looking to upgrade their data science skills. The institute will cover the basics of data science, including obtaining relevant data, cleaning and exploring data, creating models, stating inferences, making reliable predictions, and communicating findings. The course consists of a mixture of lectures, guest speakers, and group assignments. It will take place over 10 working days, January 4-8 and 11-15, 9 AM to 5 PM EST.

Email: dsi@american.edu

Big data, data science, training, professional development, exploratory methods, graphics, regression, machine learning, clustering analysis, Bayesian, Python, JavaScript, HTML, CSS, Mining, SQL, Tableau, GitHub

IADIS - International Association for Development of the Information Society

The e-Society 2021 conference aims to address the main issues of concern within the Information Society. This conference covers both the technical as well as the non-technical aspects of the Information Society

Conference Secretariat;     Email: secretariat@esociety-conf.org

e-Government/e-Governance, e-Business / e-Commerce, Technology and Society, e-Learning, New Media and E-Society, e-Health, Information Systems, and Information Management

IADIS - International Association for Development of the Information Society

The IS Conference aims to provide a forum for the discussion of IS taking a socio-technological perspective. It aims to address the issues related to design, development and use of IS in organisations from a socio-technological perspective, as well as to discuss IS professional practice, research and teaching.

Conference Secretariat;     Email: secretariat@is-conf.org

IS in Practice, Technology Infrastructures and Organisational Processes; IS Professional Issues; IS Learning and Teaching; IS Design, Development and Management Issues and Methodologies; and IS Research

Society for Industrial and Applied Mathematics (SIAM)

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

This conference is held in cooperation with the American Statistical Association.

Probability and Statistics, Game Theory,    Search Engines and Data Mining

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

In recent years, big data has become a major challenge for the state of the art computational methods and algorithms that are used for extracting meaningful information. This dilemma stimulates the exchange of ideas necessary to generate new directions in big data inverse problems.This workshop intends to provide a platform for researchers from diverse backgrounds to discuss novel techniques for big data inverse problems with benefits to various fields of data science.

Courses and Events for Math Students and Early Career Researchers,    Modeling and Simulation

Society for Industrial and Applied Mathematics (SIAM)

Sponsored by the SIAM Activity Group on Data Mining and Analytics.

MRSI – Mathematical Sciences Research Institute, Berkeley

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Courses and Events for Math Students and Early Career Researchers,    Applied Mathematics (in general)

Association for Computing Machinery (ACM)

SIGIR is the major international forum for the presentation of new research results and for the demonstration of new systems and techniques in the broad field of information retrieval (IR). SIGIR welcomes contributions related to any aspect of IR theory and foundation, techniques, and applications. Relevant topics include, but are not limited to: Document Representation and Content Analysis

MarketsandMarkets - Conferences

Phone: [2048598285];     Email: suraj.waghmare@marketsandmarkets.com