Titlebook: Data Science; 4th International Co Qinglei Zhou,Qiguang Miao,Zeguang Lu Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018

外向者

Establish Evidence Chain Model on Chinese Criminal Judgment Documents Using Text Similarity Measureing, we need to evaluate the quality of evidence in judgment documents. In the recent informatization of Chinese courts, the huge amount of law cases made it necessary to automate the evaluation of evidence. Constructing the model of evidence chain is the basis for assessing the quality of the judgm

Nucleate

PLUMP

嚙齒動物

Research on Dynamic Discovery Model of User Interest Based on Time and Space Vector,anagement of forum hotspot trends, and the timeliness and accuracy of user groups with the same concerns, which is not conducive to the forum user’s mutual communication. Therefore, a dynamic interest discovery model based on space-time vector is proposed. In this paper, based on the traditional vec

AMOR

ABPR-- A New Way of Point-of-Interest Recommendation via Geographical and Category Influence,s that they have never been. During the latest research, when adding geographical influence, recent research always pick up all the POI points to learn the influence it makes to the users. However, this may reduce the precision of experiment, for it does not take into consideration the reason that i

陳舊

Construction and Application of Diversified Knowledge Model for Paper Reviewers Recommendation,t the reviewers’ research interest was the key. In order to mine the research interests, the published research papers are firstly collected from Internet; secondly a diversified knowledge modeling method based on the cluster algorithm is proposed; finally carry out research on the similarity comput

Fibrillation

Study on Chinese Term Extraction Method Based on Machine Learning,cific fields. In the study of intelligence analysis and knowledge organization, term extraction is an important research subject. Deep neural network is an algorithm based on machine learning. It aims to obtain high-level features that can better represent raw data through learning by multilayer str

atopic

Confound

EventGraph Based Events Detection in Social Media,at spread within social media. Specifically, we build a directed weighted graph of words named EventGraph, in which events are embedded in the form of sub-graphs or communities. Lastly, we put forward a key node based event community detection method, which improve the efficiency of graph based even

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