Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use-cases. The 2nd International Data Science Conference (iDSC 2019) brings together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best-practices from leading research institutions and business companies.
Topics interest include, but are not limited to: -Agile Artificial Intelligence & Machine Learning -Implementation of Agile Data Mining Processes -Agile Data Science and Visualization -Case Studies and Applictions for Agile Data Science
计算机体系结构,并行与分布式计算
ICDCS 2019
International Conference on Distributed Computing Systems
摘要截稿: 2019-01-05
全文截稿: 2019-01-12
开会时间: 2019-07-07
会议难度: ★★★★
CCF分类: B类
会议地点: Texas, USA
网址:http://theory.utdallas.edu/ICDCS2019/
The 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019) will be held during July 7th to July 10th, 2019 in Dallas, Texas, USA. The conference provides a platform for researchers,scientists and engineers in various domains, in fields such as academics, industry and government, to present their current findings in the emerging areas of distributed computing.
The topics include, but are not limited to: -Cloud Computing and Data Centers -Distributed Big Data Systems and Analytics -Distributed Operating Systems and Middleware -Distributed Algorithms and Theory -Distributed Fault Tolerance and Dependability -Distributed Green Computing and Energy Management -Internet of Things and Cyber-Physical Systems -Mobile and Wireless Network Computing -Edge Computing -Security, Privacy, and Trust in Distributed Systems -Social Networks and Crowdsourcing -Block Chain
计算机体系结构,并行与分布式计算
DEBS 2019
ACM International Conference on Distributed and Event-Based Systems
摘要截稿: 2019-02-21
全文截稿: 2019-02-26
开会时间: 2019-06-24
会议难度: ★★★
CCF分类: 无
会议地点: Darmstadt, Germany
网址:http://www.debs2019.org/
Over the past decade, the ACM International Conference on Distributed and Event-based Systems (DEBS) has become the premier venue for contributions in the fields of distributed and event-based systems. The objectives of the DEBS are to provide a forum dedicated to the dissemination of original research, the discussion of practical insights, and the reporting of experiences relevant to distributed systems and event-based computing. The scope of the conference includes systems dealing with detecting, processing and responding to events and with massively distributed middleware and applications. Examples of application domains covered by the conference include IOT, sensor networks, social networking, finance, healthcare and logistics.
图形学与多媒体
CAIP 2019
Computer Analysis of Images and Patterns
全文截稿: 2019-04-01
开会时间: 2019-09-02
会议难度: ★★★
CCF分类: 无
会议地点: Salerno, Italy
网址:http://caip2019.unisa.it
CAIP 2019 is the 18th in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. Previous conferences were held in Ystad, Valletta, York, Seville, Münster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track. Poster presentations will allow expert discussions of specialized research topics.