International Conference on Formal Engineering Methods
全文截稿: 2019-05-21
开会时间: 2019-11-05
会议难度: ★★★
CCF分类: C类
会议地点: Shenzhen, China
网址:http://csse.szu.edu.cn/icfem2019/
Submissions related to the following principal themes are encouraged, but any topics relevant to the field of formal engineering methods and their practical applications will also be considered. Abstraction, refinement and evolution Formal specification and modeling Program analysis Formal verification Model checking Formal approaches to software testing and inspection Formal methods for self-adaptive systems Formal methods for object-oriented systems Formal methods for component-based systems Formal methods for concurrent and real-time systems Formal methods for cloud computing Formal methods for cyber-physical systems Formal methods for software safety, security, reliability and dependability Tool development, integration and experiments involving verified systems Formal methods used in certifying products under international standards Formal model-based development and code generation
人工智能
CoNLL 2019
Conference on Natural Language Learning
全文截稿: 2019-05-31
开会时间: 2019-11-03
会议难度: ★★★
CCF分类: C类
会议地点: Hong Kong, China
网址:http://www.conll.org/
We invite the submission of papers on all aspects of computational approaches to natural language learning, particularly interdisciplinary research combining cognitive aspects of language processing and machine learning, including, but not limited to:
Computational Learning Theory and Analysis of Language Learning Computational Models of First, Second and Bilingual Language Acquisition Computational Models of Language evolution and Change Computational Psycholinguistics Computational Simulation and Analysis of Psycholinguistic Findings Data Resources, Techniques and Tools for Computational Modeling of Human Language Acquisition and Processing Dialogue and Interactive Systems Discourse and Coreference Information Extraction Information Retrieval, Question Answering Investigations of Learning Methods (e.g. machine learning, biologically-inspired, active learning, hybrid models) from a Cognitive Perspective Language Models, Segmentation Lexical and Compositional Semantics Linguistic Theories and Resources Machine Learning for NLP Machine Translation Models of induction and Analogy in Linguistics Morphological Analysis, POS Tagging and Sequence Labeling Multilinguality and Cross-linguality Multimodal and Grounded Language Processing Narrative Understanding and Commonsense Reasoning Natural Language Generation Other NLP Applications Sentiment Analysis and Opinion Mining Spoken Language Processing Summarization Syntactic and Semantic Parsing Text Mining
计算机网络
ICNP 2019
IEEE International Conference on Network Protocols
摘要截稿: 2019-05-24
全文截稿: 2019-05-31
开会时间: 2019-10-07
会议难度: ★★★★
CCF分类: B类
会议地点: Chicago, Illinois, USA
网址:https://icnp19.cs.ucr.edu/cfp.html
ICNP, the IEEE International Conference on Network Protocols, is the premier conference covering all aspects of network protocol research, including design, analysis, specification, verification, implementation, and performance. ICNP 2019 will be held in Chicago, Illinois, from Oct. 7-10, 2019.
Papers with significant research contributions to the field of network protocols are solicited for submission. Papers cannot be previously published nor under review by another conference or journal. Papers containing plagiarized material will be subject to the IEEE plagiarism policy and will be rejected without review.
Topics of interest include, but are not limited to:
All aspects of network protocol research including design, specification, verification, implementation, measurement, testing, and analysis. Protocols for wireless networks, cellular networks, software-defined networks, data center networks, social networks, peer-to-peer networks, sensor networks, vehicular networks, and Internet of Things. Domain-specific solutions, including protocols for network security, routing, user privacy, and network management. Contributions to network architecture, e.g., specific algorithms and protocols for network virtualization or future Internet architectures. Papers must address specifically aspects of network protocol research. One of the accepted papers will be selected for a best paper award. Up to two of the best papers from ICNP will be fast tracked in the IEEE/ACM Transactions on Networking, with a streamlined journal review process.
软件工程
ICSOC 2019
International Conference on Service Oriented Computing
摘要截稿: 2019-05-19
全文截稿: 2019-05-31
开会时间: 2019-10-28
会议难度: ★★★★
CCF分类: B类
会议地点: Toulouse, France
网址:http://icsoc.org/
ICSOC, the International Conference on Service-Oriented Computing, is the premier international forum for academics, industry researchers, developers, and practitioners to report and share groundbreaking work in service-oriented computing. ICSOC fosters cross-community scientific excellence by gathering experts from various disciplines, such as business-process management, distributed systems, computer networks, wireless and mobile computing, cloud computing, cyber-physical systems, networking, scientific workflows, services science, data science, management science, and software engineering.
ICSOC 2019, the 17th event in this series, will take place in Toulouse, France and will bring together scientists, engineers, and practitioners from multiple disciplines to focus on service-oriented, cloud-based, innovative enterprises ready for the 21st century. The conference would be featuring research and industry presentations, forward-looking keynote presentations, workshops, demonstrations, tutorials, and a Ph.D. track.
ICSOC 2019 seeks outstanding, original contributions, including theoretical and empirical evaluations, as well as practical and industrial experiences, with emphasis on results that solve open research problems and have significant impact on the field of service-oriented computing. Specific topics of interest include but are not limited to:
1. Service Engineering Legacy systems migration and modernization Service design, specification, discovery, customization, composition, and deployment Service change management Service innovation Theoretical foundations of Service Engineering
2. Run-time Service Operations and Management Service execution middleware Service monitoring and adaptive management Quality of service Workload compliance management Service governance Architectures for multi-host container deployments Microservices deployment and management
3. Services and Data Services for Big Data Service for compute-intensive applications Mining and analytics Data-provisioning services Services related linked open data Automated Knowledge Graph creation
4. Services on the Cloud Migration to virtual infrastructures XaaS (everything as a service including IaaS, PaaS, and SaaS) Service deployment and orchestration in the Cloud Cloud service management Cloud workflow management Cloud brokers and coordination across multiple resource managers Edge computing vs Cloud computing Workload transformation
5. Services in the Internet of Things Embedded and real-time services RFID, sensor data, and services related to the Internet of Things Services for IoT platforms and applications Service oriented protocols for IoT applications REST APIs and services for IoT platforms and applications
6. Services in Organizations, Business, and Society Services science Social networks and services Cost and pricing of services Service marketplaces and ecosystems Service business models Enterprise architecture and services Service Chatbots
7. Services at the Edge Cloud and fog computing Analytics and knowledge generation services Edge service orchestration Lightweight service deployment and management Services and edge gateway architectures Quality of Service (QoS) in edge services Security, privacy, and trust of edge services
8. Services for Softwarized Network Functions and Software Defined Networks Service Network Function Management and Orchestration Services for novel and emerging networking protocols Named data networking Network and transport mechanisms Virtualized Network Functions and Services Virtualized Service Function Chaining
人工智能
ICTAI 2018
IEEE International Conference on Tools with Artificial Intelligence
全文截稿: 2019-06-01
开会时间: 2019-11-05
会议难度: ★★★
CCF分类: C类
会议地点: Volos,Greece
网址:http://ictai2018.org/
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人工智能
ILP 2019
International Conference on Inductive Logic Programming
摘要截稿: 2019-05-25
全文截稿: 2019-06-01
开会时间: 2019-09-05
会议难度: ★★★
CCF分类: C类
会议地点: Plovdiv, Bulgaria
网址:https://ilp2019.org/
Welcome to the Web site of the 29th International Conference on Inductive Logic Programming, which will take place in Plovdiv, Bulgaria on 3-5 Sep 2019!
Inductive Logic Programming (ILP) is a subfield of machine learning, which relies on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining.
The ILP conference series, started in 1991, is the premier international forum for learning from structured or semi-structured relational data. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon significantly and welcomes contributions to all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.
数据库管理与信息检索
ICDM 2019
IEEE International Conference on Data Mining
全文截稿: 2019-06-05
开会时间: 2019-11-08
会议难度: ★★★★
CCF分类: B类
会议地点: Beijing, China
网址:http://icdm2019.bigke.org/
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 statistics, machine learning, pattern recognition, 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.
Topics of Interest ============== Topics of interest include, but are not limited to: o Foundations, algorithms, models and theory of data mining, including big data mining. o Machine learning and statistical methods for data mining. o Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data. o Data mining systems and platforms, and their efficiency, scalability, security and privacy. o Data mining for modelling, visualization, personalization, and recommendation. o Data mining for cyber-physical systems and complex, time-evolving networks. o Applications of data mining in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, and other domains.
计算机体系结构,并行与分布式计算
SoCC 2019
ACM Symposium on Cloud Computing
摘要截稿: 2019-06-03
全文截稿: 2019-06-10
开会时间: 2019-11-20
会议难度: ★★★★
CCF分类: B类
会议地点: Chaminade, Santa Cruz, California, USA
网址:https://acmsocc.github.io/2019/
The annual ACM Symposium on Cloud Computing (SoCC’19) brings together researchers, developers, users, and practitioners interested in cloud computing. ACM SoCC’19 is the 10th edition of the premier conference on cloud computing; it is the only conference co-sponsored by the ACM Special Interest Groups on Management of Data (SIGMOD) and on Operating Systems (SIGOPS). SoCC will be held in Chaminade, Santa Cruz, California, to foster connections between the academic and industrial communities operating in the cloud space. We solicit original contributions on all aspects of cloud computing. We particularly encourage submissions on the research, development, practice, and experience of cloud computing systems and data management. Specific topics of interest include but are not limited to the following, when related to the cloud:
Administration and Manageability Cross Datacenter Data Management Data Services Architectures Data Markets Distributed and Parallel Query Processing Distributed Systems Energy Efficiency and Management Fault Tolerance, High Availability, and Reliability IoT Infrastructure Large Scale Cloud Applications Services and Systems for Machine Learning Multi-Tenancy Networking and SDNs Platform for Services Privacy of Data and Computation Programming Models Provisioning and Metering Query Optimization Resource Management Scientific Data Management Security of Infrastructure and Services Service Level Agreements Storage Systems and New Technologies Transactional Models Virtualization, Containers, VMs