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

The advancement in computing and storage capabilities of modern computational clusters fosters use of novel statistical techniques in machine learning and deep networks. Such data-driven techniques allow one to learn model features and characteristics that are difficult for mathematical methods alone to reveal. Many computational methods achieve model and complexity discovery using methods that lie at the nexus of mathematical, statistical, and computational disciplines. Statistical methods often employ "big data" approaches that glean predictive capability from diverse and enormous databases of information. Emerging methods in machine learning and deep networks can provide impressive results. This workshop gathers researchers at the frontier of large-scale statistical computation, data science, tensor decompositions and approximations, and data-driven model learning, to focus on modern challenges that use data to reduce complexity of models.

DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V.

Big Data Analytics has become important to the process industry. It reveals new market opportunities and could lead to process advantages and reductions in production costs. Whether in the chemical, pharmaceutical, biotech, energy or other related industries: enormous amounts of data are created every second. These huge amounts of data need to be analyzed to further improve processes, enhance production, develop innovative products, plan maintenance and, in general, understand what will happen next. The application areas in which data analytics can be used profitably are diverse and nowhere near exhausted in process industry.

INSTICC – Institute for Systems and Technologies of Information, Control and Communication

The purpose of the 22nd International Conference on Enterprise Information Systems (ICEIS) is to bring together researchers, engineers and practitioners interested in the advances and business applications of information systems. Six simultaneous tracks will be held, covering different aspects of Enterprise Information Systems Applications, including Enterprise Database Technology, Systems Integration, Artificial Intelligence, Decision Support Systems, Information Systems Analysis and Specification, Internet Computing, Electronic Commerce, Human Factors and Enterprise Architecture.

1 . Databases and Information Systems Integration, 2 . Artificial Intelligence and Decision Support Systems, 3 . Information Systems Analysis and Specification, 4 . Software Agents and Internet Computing5 . Human-Computer Interaction, 6 . Enterprise Architecture

Software Engineering,    Human-Computer Interaction, User Experience

Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyse data and process information collaboratively in the service of individuals or organisations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy and trust that will emerge as IoT technologies mature and become part of our everyday lives. Big Data (BD) has core values of volume, velocity, variety and veracity. After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis. Maintaining a high level of security and privacy for data in IoT are crucial and we welcome recommendations, solutions, demonstrations and best practices for all forms of security and privacy for IoT and BD.

Phone: [+351 265 520 184];     Email: iotbds.secretariat@insticc.org

Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

COMPLEXIS – The International Conference on Complexity, Future Information Systems and Risk, aims at becoming a yearly meeting place for presenting and discussing innovative views on all aspects of Complex Information Systems, in different areas such as Informatics, Telecommunications, Computational Intelligence, Biology, Biomedical Engineering and Social Sciences. Information is pervasive in many areas of human activity – perhaps all – and complexity is a characteristic of current Exabyte-sized, highly connected and hyper dimensional, information systems. COMPLEXIS 2020 is expected to provide an overview of the state of the art as well as upcoming trends, and to promote discussion about the potential of new methodologies, technologies and application areas of complex information systems, in the academic and corporate world. COMPLEXIS 2020 seeks papers reporting research work, applications or case-studies, on topics indicated below in the section “Conference Areas”. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Both technological and social-oriented papers are accepted. All papers must describe original work, not previously published or submitted to another conference. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of COMPLEXIS under an ISBN, and will be indexed by major indexes. Acceptance will be based on quality, relevance and originality. Both full research reports (regular papers) and work-in-progress reports (position papers) are welcome. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and focused presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.

Phone: [+351 265 520 184];     Email: complexis.secretariat@insticc.org

Complex Networks,    Complex Systems, Chaos and Self-Organisation

Huazhong University of Science and Technology(HUST) in Wuhan

Universidad Politécnica de Madrid, Information Processing and Telecommunications Center

Nowadays the production of digital contents, data and services has reached a speed never experienced before. Large amounts of content are already on the Web, waiting for being reused both for personal or professional purposes. These contents, including multimedia documents, application tools, and services are being accumulated on the Web, in cloud systems, and in local and global data structures. There is thus a need for new theories and technologies for advanced information search, integration through interoperation, and personalization of digital services. Additionally, in science and technology, with progressively sophisticated research going on, there is a growing need for interdisciplinary availability, distribution and exchange of the latest research results, in organic forms, including not only research papers and multimedia documents, but also various tools developed for measurement, analysis, inference, design, planning, simulation, interaction and production as well as the related large data sets. And similar needs are also rising for the interdisciplinary and international availability, distribution and exchange of ideas and works among artists, musicians, designers, architects, directors, and producers.

Secretariat;     Phone: [+34 91 0672216];     Email: comunicacion@iptc.upm.es

Information search in large data sets, Comparison of different information search technologies, Novel approaches to information search, Personalized information retrieval and personalized web search, Data Quality, Federation of Smart Objects, (Social) Cyber-Physical Systems, (Big) Data Analytics for personalization, Data Mining, Integration of Web-services & Knowledge bases & Digital libraries, Machine learning and AI for information-related applications, Visual and sensory information processing and analysis, Ontology-based Data Access, Provenance Tracking in the Context of Data Integration, Privacy in the context of data integration

Neural Networks and Artificial Intelligence, Machine Learning,    Multidisciplinary or General Events in Informatics

KES International

KES-IDT-20 is an international scientific conference for research in the area of intelligent decision technologies with subjects considering theory and application. This conference is dedicated to techniques that improve decision making using intelligent paradigms and other methods.

Institute for Mathematical Sciences/National University of Singapore

Causal inference is the study of quantifying whether a treatment, policy, or an intervention, denoted as A, has a causal effect on an outcome interest, denoted as Y. What distinguishes a causal effect of A on Y from an associative effect of A on Y, say by computing the correlation between A and Y, is that under a causal effect, intervening on the treatment A leads to changes in the outcome Y. Hence, a causal effect is a stronger notion of a relationship between A and Y than an associative effect.

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

The aim of the conference is to deliver a platform of scientific interaction between three interwoven challenging areas of research and development of future ICT-enabled applications: Software Intensive Systems, Complex Systems, and Intelligent Systems.

Wyndham Pittsburgh University Center, Pittsburgh

The conference aims at bringing together experts in software engineering and knowledge engineering to discuss on relevant results in either software engineering or knowledge engineering or both. Special emphasis will be put on the transference of methods between both domains. The theme this year is big data and software engineering & knowledge engineering.

9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Data Mining & Knowledge Management Process

Phone: [044 - 43565025];     Email: cdkp@icaita2020.org

Data Mining Applications Parallel and Distributed Data Mining Algorithms Data Streams Mining Graph Mining Spatial Data Mining Text Video Multimedia Data Mining Web Mining Pre-processing Techniques Visualization Security and Information Hiding in Data Mining Data Mining Foundations Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting Classification Clustering Social Networks Educational Data Mining Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process including pre- and post-processing Integration of Data Warehousing OLAP and Data Mining Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Inference of Causes Prediction Evaluating Consolidating, and Explaining Discovered Knowledge Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration/Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends Opportunities and Risks Mining from Low-quality Information Sources

Database Technology and Design,    Search Engines and Data Mining

Institute for Mathematical Sciences/National University of Singapore

The more data we have, the more data we need to process. Whether it is internet traffic or biological data, the hardware is never fast enough. The aim of this workshop is to focus on analysing data under new models: when the data cannot be stored (e.g., identifying viruses in the Internet traffic), when we use multiple cores to analyse the data, and when we are generating short sketches of the data to be sent and analysed by someone else. We believe a new set of algorithmic techniques (which rely mostly on statistics and on data structures) can be used in these models, and wish to find such techniques and employ them. An important focus of this workshop is to find algorithms which are elegant, and thus can also be used in practice. To develop these algorithms, it is critical to connect the key subareas of algorithmic research on big data. These key subareas include streaming, sketching, and sampling. The goal of the workshop is to bring researchers together from these different sub-areas and to establish strong collaborations among the attendees.

Applied Mathematics (in general),    Algorithms

ISG

The next-generation workforce and practices are being dramatically transformed by the next phase of technological evolution – Artificial Intelligence and Robotic Process and Blockchain Automation. Information is constantly flowing through an increasing number of smart things, such as machines, cars, consumer goods, clothes, and medical devices, and creating a stockpile of data. Companies can harness this data to grow and improve their businesses and create new, superior customer experiences. The ISG Automation Summit combines strategic guidance with practical advice about the promise and peril of automation and digital labor and their implications for the workplace. Robotic Process Automation, cognitive and blockchain technologies are creating competitive advantage through improved processes in areas such as customer service, enhanced back-office operations, and warehouse management.

Phone: [908-380-1887];     Email: Andrew.Kalaigian@isg-one.com

generation, next, automation, summit, workforce, technology, ai, artificial, intelligence, customer, experiences, information

The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 43rd ACM SIGIR conference, to be held in Xi'an, China, welcomes contributions related to any aspect of information retrieval and access, including theories and foundations, algorithms and applications, and evaluation and analysis.

The international Metaheuristics Summer School is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is "Learning and Optimization from Big Data", therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data.

Operational research,    Courses and Events for Math Students and Early Career Researchers

Institute for Mathematical Sciences/National University of Singapore

The field of optimization has undergone tremendous growth in its applications in science, engineering, business and finance in the past few decades. The growth has accelerated in recent years with the advent of big data analytics where optimization forms the core engine for solving and analyzing the underlying models and problems of extracting meaningful information from available data for the purpose of better decision making or getting better insights into the data sources. Spurred by the application needs and motivated by new emerging models in machine learning and data analytics, optimization research (in theory and algorithms) has also undergone rapid transformation and progress in recent years. In particular, demands for fast algorithms to solve extremely large-scale optimization problems arising from big data analytics have spurred numerous exciting new research directions in optimization theory and algorithms. The latter in turn helps to shape the development of optimization models and techniques in machine and statistical learning.

Applied Mathematics (in general),    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

Causal inference is a central pillar of many scientific disciplines. Motivated by applications in different scientific fields, there has been tremendous progress in causal inference in the last twenty years. At the same time, the era of big data has presented the field with massive, heterogeneous and complex data sets, posing further challenges. It is therefore crucial and timely to bring together the researchers from both ends, in order to share recent advances, to identify pressing problems, to spark productive collaborations, and to ultimately advance the state of the art by developing new theory and methods for causal inference with big data.

Association of Computing Machinery (acm)

SBA Research GmbH

Machine learning is the workhorse of Artificial Intelligence with enormous challenges in various application domains. It needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from diverse fields.

Organizer;     Email: conference@sba-research.org

machine learning, knowledge extraction, artificial intelligence

The International Symposium Astronomical Surveys and Big Data 2 (ASBD-2) will take place on 14-18 September 2020 in the Byurakan Astrophysical Observatory (BAO), Armenia. This will be the 2nd such meeting; we had a very successful meeting ASBD in 2015 with participation of astronomers and computer scientists. We combined astronomers and computer scientists with heavy involvement of astronomical surveys, catalogs, archives, databases and VOs. In addition, on 18 Sep 2020, we expect the Official Award Ceremony of Viktor Ambartsumian International Science Prize 2020.

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Ghent, Belgium, from the 14nd to the 18nd of September 2020. This event is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.

Neural Networks and Artificial Intelligence, Machine Learning,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

The 22nd International Conference on Knowledge Engineering and Knowledge Management is concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on.

Front Line Genomics

Real data. Real case studies. Real evidence. Real connections. D4 Europe is about finding the golden nuggets. Uncovering the truth. Benchmarking against other pharma. Learning from successes and failures. Understanding the context behind the results. Seeing the evidence – the actual data generated in projects. Getting past the headlines, into the substance. And importantly, understanding where you will see real, near term results in your pharma R&D. To achieve those things requires a more intimate meeting. One where you can meet and spend time with other attendees, as well as learn from the talks and discussions on the agenda. D4 Europe was designed by pharma, for pharma – a friendly gathering of around 120 people. It’s about bringing back tools, tactics and ideas that will make a difference to your drug discovery and development programs now. Not in 10 years’ time. Patients are waiting.

Events Team;     Phone: [02081918810];     Email: contact@frontlinegenomics.com

data, drug development, research, drug discovery, data science, drug design, fair data, pharma, ai, machine learning, data driven research

International Applied Bioinformatics Association

The 1st International Applied Bioinformatics Conference (IABC20) will serve as an excellent international convention for sharing knowledge, challenges and results in applied research in Bioinformatics and Informatics. The conference especially welcomes work centered on the application of Bioinformatics concepts and algorithms for biological knowledge generation and welcomes topics relating to challenges of biological applications and use cases which are still not solved properly in order to open new directions for further informatics research. IABC20 also invites papers relating to cutting edge information technology applied on biological use cases, Bioinformatics tools/workflows, best practices, calls for novel algorithms, translation of novel algorithms, and workshops/hands-on tutorials of novel Bioinformatics tools and workflows.

Email: info@iabconference.com

Bio-Data Mining, Biomedical Computing, Biomedical Intelligence, Biomedical Signal and Image Analysis, Biomedical Text Mining and Ontologies, Bio-Visualization, Clinical Data Analysis, Clinical Decision Support and Informatics, Electronic Health Record, Healthcare Information Systems, Health Data Acquisition, Analysis and Mining, Healthcare, Knowledge Representation & Reasoning, Medical Informatics, Medical Robotics, Workflow Management / Bioinformatics Analysis Pipelines, Biological Algorithms, Biological Databases, Biological Sensors, Computational Modeling and Data Integration, Functional Genomics, Proteomics, Gene Expression Array Analysis, Clinical Decision Support and Informatics, Genome-Phenome Analysis, Machine Learning, Metabolic Pathway Analysis, Modelling of Molecular, Cellular, and Organ Pathways, Nano-Bio-Computing, Nano-Medicine, Neuro-Engineering, Pattern Recognition and Soft Computing Techniques, Research and Applications in Bioinformatics, Systems Biology, Tissue Engineering, Translational Bioinformatics

Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences

The aim of the annual International Conference on Intuitionistic Fuzzy Sets (ICIFS) is to gather specialists interested in intuitionistic fuzziness, decision making under uncertainty, and other related topics, and to give them floor for discussions on both the theoretical and practical aspects of this relatively new area of fuzzy set theory. Since 2013, ICIFS has been an EUSFLAT endorsed event.

ICIFS'2020 Secretariat;     Phone: [0035929793609];     Email: icifs.office@gmail.com

Intuitionistic fuzzy sets, Intuitionistic fuzzy logic, Extensions of fuzzy sets, Decision making under uncertainty, Uncertainty, Soft computing, Intuitionism

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Mathematical Logic and Foundations

All aspects of string processing, information retrieval, computational biology, and related applications are covered.

Graph Theory and Combinatorics,    Applied Mathematics (in general)

Open Data Science Conference

The leading data science event for the West Coast is returning October 26-30, 2020. Don’t miss your chance to learn from the brightest minds in the business with over 100 workshops and trainings, speakers from cutting edge organizations, and 400 hours of content. Plus, you’ll get your chance to network with peers and meet our expert speakers. With dinner and drinks with data scientists hosted by ODSC, the ODSC Networking Reception, Meet the Experts and more, you can ignite your career in the fast-changing fields of Data Science and AI. Register now for the lowest ticket price of the year.

Rafael Oliveira;     Phone: [5109848238];     Email: info@odsc.com

data science, deep learning, machine learning, artificial intelligence

Software Engineering,    Software Agents and Intelligent Agents in Artificial Intelligence

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).

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

MarketsandMarkets - Conferences

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