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

About Apache Storm Training: Apache Storm is an open-source and distributed stream processing computation framework used for processing large volumes of high-velocity data.and its comparison with hadoop, Big Data world., etc.This Apache StormTraining from MindMajix will give you a working knowledge of the open-source Storm computational engine. You will be able to do distributed real-time data processing and come up with valuable insights.

Mindmajix Technologies INC;     Phone: [9174568403];     Email: info@mindmajix.com

ApacheStromTraining, Apachestormonline, stormtechnology

Algorithms and Open Source Development,    Training in Computer Science, Courses

2019 2nd International Conference on Data Mining and Big Data (DMBD 2019) 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 following areas, but are not limited to these topics only.

The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval will take place on July 21-25, 2019 in Paris. The conference is backed up by the French Association for Information Retrieval and Applications (ARIA) which organizes the yearly IR French CORIA conference.

Database Technology and Design,    Search Engines and Data Mining

The Fourth International Conference on Data Mining and Big Data (DMBD’2019) serves as an international forum for researchers and practitioners to exchange latest advantages in theories, algorithms, models, and applications of data mining and big data as well as artificial intelligence techniques. Data mining refers to the activity of going through big data sets to look for relevant or pertinent information.

IMMM 2019 is part of DataSys 2019

Association for Computing Machinery (ACM)

The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

The annual VLDB conference is a premier annual international forum for database researchers, vendors, practitioners, application developers, and users. PVLDB, established in 2008, is a scholarly journal for short and timely research papers, with a journal-style review and quality assurance process. PVLDB is distinguished by a monthly submission process with rapid reviews. Its issues are published regularly throughout the year. Your paper will appear in PVLDB soon after acceptance, and possibly in advance of the VLDB conference. All papers accepted in time will be published in PVLDB Vol. 12 and also presented at the VLDB 2019 conference.

Email: vldb2019info@gmail.com

Access Methods, Concurrency Control, Recovery, Transactions, Indexing and Search, In-memory Data Management, Hardware Accelerators, Query Processing and Optimization, Storage Management, Privacy and Security in Data Management, Graph Data Management, Social Networks, Recommendation Systems, Data Mining and Analytics, Warehousing, Crowdsourcing, Embedded and Mobile Databases, Real-time Databases, Sensors and IoT, Stream Databases, Data Models and Query Languages, Schema Management and Design, Database Usability, User Interfaces and Visualization, Tuning, Benchmarking, Performance Measurement, Database Administration and Manageability, Distributed Database Systems, Cloud Data Management, NoSQL, Scalable Analytics, Distributed Transactions, Consistency, P2P and Networked Data Management, Database-as-a-Service, Content Delivery Networks, Provenance and Workflows, Spatial, Temporal, and Multimedia Databases, Scientific and Medical Data Management, Profile-based or Context-Aware Data Management, Data Cleaning, Information Filtering and Dissemination, Information Integration, Metadata Management, Data Discovery, Web Data Management, Semantic Web, Heterogeneous and Federated Database Systems, Fuzzy, Probabilistic and Approximate Databases, Information Retrieval, Text in Databases

The European Conference on Knowledge Management - ECKM, brings together academic research and practical applications of Knowledge Management from all areas.

Phone: [(44) 0118 972 4148];     Email: Elaine@academic-conferences.org

The ADBIS Doctoral Consortium (DC) is a forum where PhD students can present their research ideas to the scientific community: they will be both challenged and provided with feedback from mentors and tie cooperation bounds. The students will draw inspiration from their peers and will be given the opportunity to discuss their research objectives with senior members of the community in the context of an established international conference.

Email: adbis2019dc@eric.univ-lyon2.fr

Database Technology and Design,    Search Engines and Data Mining

All registered papers will be published in Springer Lecture Notes on Data Engineering and Communications Technologies

Phone: [8754818524];     Email: icici2k17@gmail.com

Cryptography, High Speed Networks, Mobile Computing, Mobile Networks & Wireless LAN, Optical Networking, Network Based Applications, Network Security, Next Generation Web, Recent Trends in Computer Networks, Wireless and Adhoc Network, Wireless Multimedia systems, Coding Techniques for 3G & 4G, UWB Systems, Digital Multimedia Systems, Airborne Vehicle Communication, Antenna Systems, Signal & Image Processing, Telemetry & Tele command Systems, Optical Communication, Satellite Technology, Earth Station Systems & Technology, Wireless Networks, Spectrum Management, Cognitive Radio Design, Millimeter Wave Technology, Telecom Management, Underwater Communication, Multi Carrier Modulation, MIMO Systems, Microwave Systems, Cryptography, IOT, Big Data, Cloud Computing, Health care Informatics

The School of Complex Systems and Big Data: Ethical Implications for Self-Organized Cognition aims at discussing ethical and epistemological implications of the use of Big Data Analytics for self-organized cognition and action, from the perspective of the Complex Systems paradigm.

Courses and Events for Math Students and Early Career Researchers,    Applied Maths: Dynamic Systems, Control and Automation

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Würzburg, Germany, from the 16th to the 20th of September 2019. This event is the premier European machine learning and data mining conference and builds upon over 17 years of successful events and conferences held across Europe.

Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning,    Search Engines and Data Mining

Lake Como School of Advanced Studies

Grid-, Distributed- and Parallel Computing, Cloud Computing,    Training in Computer Science, Courses

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

Kazan Federal University

data analysis ; data management ; data intensive domains

Supported by Saga University, the 5th International Conference on Fuzzy Systems and Data Mining (FSDM2019) will be held during October 18-21, 2019 in conjunction with the 9th International Conference on Electronics, Communications and Networks (CECNet2019) at Kitakyushu International Conference Center, Kitakyushu City, Japan. The annual event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances in the fields of Fuzzy Systems and Data Mining, to strengthen the links in the scientific community.

Search Engines and Data Mining,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

The conference will provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence. The conference program will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks.

The ADT 2019 conference focus is on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics and Operations Research in order to improve the theory and practice of modern decision support.

Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Risk Management, and Utility Theory

Applied Maths: Operational research,    Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning

The 8th conference on Artificial Intelligence and Natural Language (AINL 2019) invites everyone interested in intellectual technologies, both from academic institutes and innovative companies. The conference aimed to bring together experts for creating a platform for sharing experience, extending contacts and searching for possible collaboration.

text mining, speech technologies, dialogue systems, information retrieval, machine learning

Natural Language Processing, Computational Linguistics,    Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning

The British Institute of Radiology

This one-day event has a distinguished panel of speakers including radiologists, medical informaticists, data scientists, experts in public health and people interested in using technology to improve patient care. This event is suitable for radiologist (consultants and trainees), radiation oncologists, medical physicists, radiographers, public health doctors, epidemiologists, researchers, academics, healthcare managers, policy makers, healthcare IT professionals and industry representatives.

The British Institute of Radiology;     Phone: [+442036682230];     Email: conference@bir.org.uk

Healthcare Technologies,    Clinical Data Management, e-Health

Big Data Conference Europe is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI. Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes. The event is designed to educate, inform and inspire – organized by people who are passionate about Big Data and Data Exploration. We look forward to seeing you there!

Email: evelina@dataminer.lt

Big Data, High Load, Machine Learning, AI, Data Science.

Asian Regional Section of the International Association for Statistical Computing (IASC-ARS)

Statistical Computing for AI and Big Data

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

CHIIR provides a forum for the dissemination and discussion of research on the user-centered aspects of information interaction and information retrieval. CHIIR focuses on elements such as human involvement in search activities, and information seeking and use in context. The conference represents a merger of two successful past events: the Information Interaction in Context conference (IIiX) and the Human Computer Information Retrieval symposium (HCIR).

Human-Computer Interaction,    Search Engines and Data Mining

Welcome to the fourth edition of Data Innovation Summit. It is going to be bigger, better, more insightful and more exciting than ever. This year’s event will focus on practical case studies on Applied Innovation, Analytics and Visualisation, Machine Learning, Artificial Intelligence, Data Management, Data engineering, IOT insight and technology.

Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning,    Database Technology and Design

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

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

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 and Open Source Development

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