The demand and interest in big data analytics are increasing rapidly. The concepts around
big data include not only existing structured data, but also various kinds of unstructured data …

Objective In the context of rare diseases, it may be helpful to detect patients with similar
medical histories, diagnoses and outcomes from a large number of cases with automated …

요 약최근 데이터의 양 자체가 해결해야 할 문제의 일부분이 되는 빅데이터 (Big Data) 분석에
대한 수요와 관심이급증하고 있다. 빅데이터는 기존의 정형 데이터 뿐 아니라 이미지, 동영상 …

Question answering (Q&A) communities have gained momentum recently as an effective
means of knowledge sharing over the crowds, where many users are experts in the real …

Bug localization represents one of the most expensive, as well as time-consuming, activities
during software maintenance and evolution. To alleviate the workload of developers …

Based on user query, to retrieve most relevant documents from the web for resource poor
languages is a crucial task in Information Retrieval (IR) system. This paper presents Cosine …

The process of transforming big data into understandable information is the key of
sustainable innovation within an Industry 4.0 factory. Machine learning techniques and …

This two-volume set (LNAI 10448 and LNAI 10449) constitutes the refereed proceedings of
the 9th International Conference on Collective Intelligence, ICCCI 2017, held in Nicosia …

Text classification performance is considerably influenced by a factor selected from the text
and presented to the classification algorithm: the feature type. Character N-grams, word …

Embodiments of the present application relate to a multilingual mixed search method, a
system for multilingual mixed searching, and a computer program product for multilingual …