Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Bettina Berendt,Bj?rn Bringmann,Volker Tresp Conference proceed

CHORD

書目名稱Machine Learning and Knowledge Discovery in Databases影響因子(影響力)




書目名稱Machine Learning and Knowledge Discovery in Databases影響因子(影響力)學(xué)科排名




書目名稱Machine Learning and Knowledge Discovery in Databases網(wǎng)絡(luò)公開度




書目名稱Machine Learning and Knowledge Discovery in Databases網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning and Knowledge Discovery in Databases被引頻次




書目名稱Machine Learning and Knowledge Discovery in Databases被引頻次學(xué)科排名




書目名稱Machine Learning and Knowledge Discovery in Databases年度引用




書目名稱Machine Learning and Knowledge Discovery in Databases年度引用學(xué)科排名




書目名稱Machine Learning and Knowledge Discovery in Databases讀者反饋




書目名稱Machine Learning and Knowledge Discovery in Databases讀者反饋學(xué)科排名

分散

Brocas-Area

憤慨一下

慎重

粘土

焦慮

Ranking Researchers Through Collaboration Pattern Analysisrticles follows hidden co-authoring principles as well as temporal dynamics which generate latent and complex collaboration patterns. In this paper, we present an online advanced tool for real-time rankings of computer scientists under these perspectives.

影響深遠(yuǎn)

Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclusteringdiagonal biclustering to extract high-level topics with overlapping bi-clustering to elicit fine-grained topic variants. A hybrid topic treemap visualization gives the analyst an overview of all topics. Coordinated sunburst and heatmap visualizations let the analyst inspect and compare topic variants and access document content on demand.

使增至最大

深陷

978-3-319-46130-4Springer International Publishing AG 2016