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日前,武汉大学主办的英文学术期刊Data and Information Management(DIM)被国际著名数据库Scopus正式收录,这是继DIM被《FMS管理科学高质量国际期刊列表》收录后的又一重要进展。
It is all good to have access to large volume of data generated with high velocity which normally spans variety of domains and usually comes with levels of veracity. However, the importance of data be...
Big data is playing a more and more important role nowadays. While many new technologies have been developed to support big data, it is equally important to explore software engineering technologies w...
G2BDAI 2017 is an annual International Workshop on Game, Gamification ,Big Data and Artificial Intelligence, collocated with SimuTools 2017. The workshop focuses on a broad range of research challenge...
The DEEM workshop will be held in conjunction with SIGMOD/PODS 2017. DEEM brings together researchers and practitioners at the intersection of applied machine learning, data management and systems res...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
“第五届基于自然标注大数据的自然语言处理国际学术研讨会”(The Fifth International Symposium on Natural Language Processing based on Naturally Annotated Big Data, NLP-NABD 2017)将与CCL 2017同时召开。NLP-NABD涵盖了前面列举的所有自然语言处理的研究内容,尤其关注在大数据...
While female researchers serve in almost 30% of data science and engineering positions, there is still a significant shortage especially from the minority communities. The Women in Data Science & Eng...
The objective of this one-day workshop is to bring researchers and practitioners together in order to investigate opportunities in exploiting virtualized active (compute-enabled) technologies such as ...
The annual IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a...
Health data originate from a wide variety of heterogeneous data sources which include medical literature, Electronic Medical Records (EMRs), medical imaging data, time series data from ICU/in-hosp...
Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organization...
Active Learning addresses the interaction between Machine Learning/Data Mining algorithms and human feedbacks, reduces the human efforts for manual labelling, avoids data redundancy, and improves the ...
In the last few years, the use of Information and Communication Technologies has made available a huge amount of heterogeneous data in various real application domains. For example, in the urban scena...
By 2020, the total size of digital data generated by social networks, sensors, biomedical imaging and simulation devices, will reach an estimated 44 Zettabytes (e.g. 44 trillion gigabytes) according t...

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